wonda-cli

name	wonda-cli
description	Using the Wonda CLI to generate images, videos, music, and audio from the terminal — plus LinkedIn, Reddit, and X/Twitter research and automation

Wonda CLI

Wonda CLI is a content creation toolkit for terminal-based agents. Use it to generate images, videos, music, and audio; edit and compose media; publish to social platforms; and research/automate across LinkedIn, Reddit, and X/Twitter.

Install

If wonda is not found on PATH, install it first. The recommended installs are the signed desktop installers (CLI + tray icon + always-on relay, zero extra steps): macOS brew install --cask degausai/tap/wonda-app (or the wonda-macos.pkg from releases), Windows winget/wonda-windows-setup.exe. The CLI-only channels below work everywhere and can add the desktop app later with wonda app install:

# npm
npm i -g @degausai/wonda

# Homebrew
brew tap degausai/tap && brew install wonda

Setup

• Auth: wonda auth login (opens browser, recommended) or set WONDA_API_KEY env var
• Verify: wonda auth check

OAuth connector auth

Claude web and Cowork connectors use Wonda's OAuth 2.1 flow instead of a CLI API key field. The connector signs in through Wonda in the browser, grants the requested account access, and receives OAuth tokens bound to the Wonda API resource. The server swaps those tokens to the account's internal API key only inside Wonda, so agents and connector hosts never see the sk_... key. For the CLI and local stdio MCP path, keep using wonda auth login or WONDA_API_KEY.

Claude Cowork local relay

Claude Cowork (the desktop app) runs local MCP servers on the host, so it can load the .mcpb bundle or a local stdio wonda-mcp config directly, WAB writes included (verified 2026-07-07). Claude web cannot. The Wonda local relay is the alternative path: it lets the REMOTE connector (web or Cowork) run actions on the user's own Mac and residential IP without any local MCP config:

1. Open https://wonda.sh/download while signed in and install the notarized Mac package.
2. Pair the relay with wonda relay pair or the first-run browser handoff. This uses the existing cli-auth flow with a relay-scoped wrelay_... credential stored in the macOS Keychain. Do not ask the user to paste an API key or device code.
3. Open https://wonda.sh/setup, connect LinkedIn, X, and Reddit through the headful local WAB, then approve the Wonda connector once in Claude.

The engine policy is auto | my_machine | cloud. auto uses the local relay when it is online and cloud otherwise. my_machine must not silently fall back: if the relay is offline, ask whether to switch to cloud.

Organizations & spend context

Wondercat orgs are shared wallets with their own seats and billing. Members can spend from the org wallet (instead of their personal credits) by switching context:

• wonda organizations list (aliases: wonda orgs list, wonda org list) — see every org you belong to with your role and seat plan in each.
• wonda use --org <slug> — sticky org context for this machine. Sets X-Wonda-Org on every request; holds, charges, and wonda balance route through the org wallet.
• wonda use --personal — back to personal.
• wonda usage — spend-only usage summary (total + per-model + per-project breakdown) for a period (--month 2026-05, or --from/--to; defaults to the current month, UTC). --project <name> restricts the report to one project. In org context it reports org-wide usage including a per-member breakdown — admin/owner role required. Admins can also download a full Excel report from the org page on the web.

Projects (spend tagging)

Projects attribute spend to a named workstream for monitoring. Agents should check the active project at task start (wonda use prints it) and set one per task when the operator monitors spend by project:

• wonda use --project <name> — sticky: every subsequent charge carries the project (in wonda usage, the API, and the org Excel report). wonda use --no-project stops tagging; switching org/personal context clears the project automatically (projects are per-scope).
• --project <name> on any command — one-off override for that invocation.
• wonda project list|create|delete — manage the registry in the active scope. Org projects are created by org admins/owners only; personal projects are self-service. Tagging against a name that doesn't exist fails with unknown_project (no silent new buckets, so typos can't split the monitoring data).

wonda topup always tops up your personal wallet, regardless of context. Topping up the org wallet (and configuring auto top-up) is admin-only and happens on the web at /organizations/<slug>. If a member runs out of org credits, the error tells them to ask an admin or switch back to personal — they cannot top up the org wallet from CLI.

Roles inside an org are separate from the seat plan:

• Owner: the original creator. Cannot be demoted or kicked. Can transfer ownership to another member from the org page (rare).
• Admin: can invite (single or bulk via paste), kick, change roles, change seats, top up, configure auto top-up, change monthly limits.
• User: can only spend within the org wallet (subject to a per-member monthly limit if the admin set one).

A paid org seat (WONDA / WONDA_PREMIUM) grants the same paid feature access (skills, etc.) as a personal paid plan, but only while in org context. wonda use --personal falls back to the user's personal account plan.

Access tiers

Wonda is paid-only: every product surface requires a paid plan, including API calls, local platform reads, browser automation, media composition, file editing, diagnostics, generation, publishing, scraping, analysis, skills, relay operation, and cloud twin. Before any product command does work, the CLI performs a live entitlement check against Wonda. The check fails closed when access cannot be verified. New accounts get no product access until they subscribe, and a positive credit balance does not substitute for a plan.

Tier	Access
Anonymous (no login)	No product access. Authentication, config, pricing, organization discovery/selection, shell completion, and local shutdown commands remain available so the user can subscribe, recover, or stop background services. Run wonda auth login, then subscribe.
Free (logged in, no paid plan)	No product access. Subscribe at https://wonda.sh/account to use the product.
WONDA ($19.99/mo, "Pro")	Everything except cloud twin: generation (image/generate, video/generate, ...), media upload/download, publishing, scraping, analytics, video analysis, skills (wonda skill install/list/get), transitions, clipping, email, reddit/linkedin account creation, styles, brand.
WONDA_PREMIUM ($49.99/mo, "Premium")	Everything in WONDA, plus cloud twin (wonda twin: provisioning, scheduled runs, streamed login) with antidetect / shadowban protection, no caps, and US account creation.
Flagged (per-account PostHog kill-switches)	Included in the paid plan but still gateable by a per-account flag: wonda reddit signup (redditAccountCreationEnabled), wonda email (emailServerApiEnabled), public LinkedIn profile enrichment (linkedinProfileEnrichmentEnabled).

If a command returns a 403 (paid_plan_required), subscribe at https://wonda.sh/account.

This applies to the local stdio MCP path too because MCP executes the same CLI. Platform cookies and data remain on-device, but the command must first receive a successful paid-access decision from GET /api/v1/auth/access. A relay-only installation may use its scoped wrelay_... credential for that entitlement probe. The scoped credential still cannot call ordinary account APIs.

Voice cloning

Clone a voice from a 10s+ audio clip and use it in TTS. Hard limit: 20 cloned voices per account. Cost: $1.50 per clone.

# Clone from a local file (auto-uploads to media library first)
wonda voice create "Andu" --file ./sample.mp3 --description "My voice"

# Clone from existing wonda media
wonda voice create "Brand" --media-id <uuid>

# Optional source-audio preprocessing
wonda voice create "Clean" --file ./raw.wav --noise-reduction --normalize-volume

# List cloned voices (each row reports isExpired and expiresInDays)
wonda voice list

# One voice
wonda voice get <voice-id>

# Rename / re-describe (local only, no provider call)
wonda voice update <voice-id> --name "New Name" --description "..."

# Delete
wonda voice delete <voice-id>

Use a cloned voice in TTS by passing the providerVoiceId from voice get as voiceId to /audio/speech:

wonda audio speech "Hello world" \
  --model minimax-speech-2-8-hd \
  --params '{"voiceId":"<providerVoiceId>"}'

7-day expiry: cloned voices that haven't been used in TTS within 7 days are automatically expired. Running TTS with a cloned voice automatically refreshes its expiry. Idle voices that lapse must be re-cloned ($1.50 again).

Credentials vault

Persist logins created on external platforms (Instagram, TikTok, Twitter, etc.) so they can be reused on the next run. Passwords are AES-256-GCM encrypted with a server-side key and only decrypted on get.

# Create
wonda credentials create --website instagram.com --username myhandle \
  --email [e-mail] --password-stdin <<< "hunter2" \
  --metadata '{"signup_source":"wonda-email"}'

# List (passwords omitted)
wonda credentials list --website instagram.com

# Get full record including decrypted password
wonda credentials get <id>

# Update any field (use --password-stdin to rotate; --username "" to clear)
wonda credentials update <id> --username newhandle

# Delete
wonda credentials delete <id>

# Fetch + record why you're using it in one call — POST, not GET, because
# it writes a 'used' event with the reason. Prefer this over `get` whenever
# you can articulate the reason.
wonda credentials use <id> --reason "instagram signup flow"

# See recent events (created / used / rotated / updated) for audit
wonda credentials events <id>

Fields: website (required — typed input like insta is canonicalized to instagram.com), username, email, password (required), metadata (arbitrary JSON). At least one of username / email must be present. Multiple records per (website, username) are allowed — dedupe on your side if you need to.

Event log: every credentials get/use, create, password rotate, and other updates are recorded as events on the credential (actor: cli | web | system). Use credentials events <id> or the web UI's history icon to audit. The event log is append-only and cascades on credential delete.

Global output flags

All commands support these output control flags:

• --json — Force JSON output (auto-enabled when stdout is piped)
• --quiet — Only output the primary identifier (job ID, media ID, etc.) — ideal for scripting
• -o <path> — Download output to file (implies --wait)
• --fields status,outputs — Select specific JSON fields
• --jq '.outputs[0].media.url' — Filter JSON output with a jq expression

CLI announcements & deprecation warnings

On every command the CLI polls GET /api/v1/updates (anonymous, 1h cache in ~/.wonda/state.json) for active announcements: deprecation notices, incident heads-ups, upgrade prompts. Messages are printed to stderr only, so stdout/JSON stays clean for piping.

Per-request deprecation hints arrive as the standard Warning: 299 - "<message>" HTTP header and are surfaced to stderr by the CLI's HTTP client as [deprecated METHOD /path] <message>.

Silence both channels with WONDA_QUIET=1 (env var) or --quiet (flag). Disable just the network checks with WONDA_NO_UPDATE_CHECK=1.

WAB / Wonda Automation Browser (wonda wab)

The Wonda Automation Browser (WAB) is a premium stealth antidetect browser, hardened so platforms cannot fingerprint it as automation. wonda wab is the one command for the antidetect Chromium stack (an undetected Playwright fork). It has two faces:

• Authenticated sessions. One persistent headful Chromium per persona that holds signed-in sessions for LinkedIn, X, Reddit, and friends. The CLI spawns it on demand, lets it idle out, and routes platform reads/writes through it whenever a command runs --via wab. Cookies live in the persona's Chromium profile, not in ~/.wonda/config.json.
• Anonymous capture. wonda wab screenshot <url>, wonda wab record <url>, and wonda brand extract drive an ephemeral Chromium with a fresh fingerprint, no persona, and no cookies. Screenshot supports responsive single, batch, and manifest capture. See the screenshot and record blocks below.

The mental model: you have accounts (one identity per platform). Each platform command routes to that account's cookies via either the flat JSON store (--via cookies, fast, no Chromium) or the account's persona (--via wab, live antidetect Chromium). A persona is the Chromium envelope that can hold multiple accounts under one fingerprint. In almost every case the persona is auto-created on first --via wab use, named after the account, so you never type a persona name.

The local wonda.mcpb Desktop Extension uses this same local WAB path from Claude Desktop or Claude Code: platform cookies stay on-device, reads use local cookies, and writes use the local WAB. Claude web and Cowork need the remote MCP connector instead.

Native login is the default for a new persona. wonda wab login <persona> <platform> opens a headful WAB window and you log in there. The session is minted INSIDE the WAB, so it is independent (logging out of the same account in an unrelated Chrome cannot revoke it) and the cookies are born under the WAB's own fingerprint, so session and browser identity stay coherent. A brand-new persona auto-created on first --via wab use chains straight into this flow on a TTY. After an X login, Wonda detects the signed-in screen_name and records it as the persona's X account binding. Existing bindings are never silently changed; a different detected handle produces a warning. Pasting cookies from another browser (wonda linkedin auth set, wonda x auth set, ...) still works and is the explicit fallback, but a hand-pasted li_at on a novel WAB fingerprint is the highest-risk shape.

wonda wab install                             # one-time: npm install + stealth-browser Chromium (shared by sessions, screenshot, record, brand extract)
wonda wab update                              # refresh the runtime to the version this CLI pins (runtime versions ship inside CLI releases): staged download, verified, then atomically swapped in, so a failed download leaves the current driver tree untouched; refuses the runtime swap while personas run (wab stop them first; the relay picks the new runtime up on its next spawn, no restart), while an already-current tree's cheap manifest refresh proceeds without the gate: it reconciles drifted current files back to this build's embedded bytes (additive rewrites, safe under a running persona) and only prunes stale files when NO personas are running, deferring the prune (and keeping the mismatch visible) until the tree is quiet; --check reports installed vs pinned without changing anything, --force reinstalls even when current and re-downloads the shared Chromium build (corrupt-cache recovery; caveat: --force clears the cached Chromium before re-downloading, so a failed forced download leaves the shared cache without it until a retry succeeds). The driver tree also carries a manifest recording what produced it: the embedded driver asset identity compatibility is actually keyed on, plus the CLI build and platform as provenance. A tree whose recorded assets differ from this binary's embedded set (or that predates manifests) is refreshed automatically at the next browser spawn or wab update; two builds shipping byte-identical driver assets share one manifest without churn, so the recorded CLI version can lag behind the newest compatible binary. --check reports the manifest state (ok|absent|mismatch|unreadable) without touching anything; --json only changes the output format and still performs the update
wonda wab start [account]                     # spawn (offscreen by default; --visible to show)
wonda wab stop [account]                      # graceful shutdown
wonda wab show [account]                       # peek a background WAB on-screen to watch it (suspends the macOS focus guard); starts it offscreen first if needed
wonda wab hide [account]                       # send a surfaced WAB back offscreen, resume silent background operation
wonda wab screenshot [persona]                 # persona mode: capture an already-open tab without surfacing it; --json still returns inline base64, --output writes a file, --tab/--full-page optional
wonda wab screenshot <url> --output page.png   # anonymous PNG in a fresh ephemeral browser; responsive waits, injection, animation, element, clip, batch, manifest, and diagnostic JSON controls, see below
wonda wab browse [url] --persona <persona>     # load a page and scroll it like a person: pause, scroll, pause, scroll; stops early once the scrolled element stops advancing, see below (plain text output, not JSON)
wonda wab menubar                              # Tray control, macOS menu bar or Windows notification area: the Wonda cat icon with a corner status badge. Green filled = running here and serving; orange half = standing by, which proves only that this machine is not the active device (whether another device or no device is serving is a separate three-way the badge cannot answer, and the menu's detail line only echoes the last relay-health check, a snapshot that can lag while this machine stays in standby); red triangle = running but cannot serve; grey hollow = not running here. The badge carries shape as well as color (filled/half/triangle/hollow) on both platforms; macOS falls back to a 🐱 text item with the same states as glyphs. Click for Restart Relay, a state-following Stop/Start toggle (`wonda relay disable`/`enable`, never `relay stop`), Open Log (macOS only; the Windows task runs the relay with no log file), and Show/Hide per running WAB; the tooltip carries the full status sentence. The bottom item "Quit Wonda" runs `wonda app quit` (stop relay + disable autostart + remove every open-at-login mechanism (macOS login item, Windows Startup entry) + remove the icon; quit stays quit until the app or `wonda app open` runs again). The Windows tray is a PowerShell/WinForms NotifyIcon consuming `relay health --json` (state) plus a periodic `wab status --json` (the persona Show/Hide list) and shelling wonda verbs, zero platform logic in the script. --stop removes only the icon and leaves the relay running
# macOS Dock menu: right-click a running WAB's Dock tile (the 🐱) for "Show on screen" / "Send to background" (same as wab show/hide). Each running persona has its own Dock tile and its menu controls only that persona. Opt out with WAB_DOCK_MENU=0.
# macOS: a background WAB no longer steals focus or flashes the menu bar / Dock when it opens a new tab; the Dock tile stays, it just never comes to the foreground until you `wab show` it.
wonda wab status                              # list personas + last activity + browser-context health (a running daemon whose Chromium died shows browser-dead with a restart hint instead of a misleading plain "running")
wonda wab login <account> <linkedin|x|reddit|instagram> # RECOMMENDED for a new persona: open headful window, user logs in, session minted in-WAB (independent + fingerprint-coherent)
wonda wab check <account> <linkedin|x|reddit|instagram> # non-interactive session-alive probe
wonda wab bind <persona> --x <acct> --reddit <acct> --linkedin <acct>  # multi-account power-user path: bind N accounts to ONE persona
wonda wab record <url>                        # anonymous one-shot webm recording (no account, no cookies), see below
wonda wab sync-cookies [account]              # force wab → disk cookie sync now (don't wait for the 10-min timer)
wonda wab logs [account] --tail 100           # tail driver.log (--audit for structured per-command log)
wonda wab errors --tail 20 --since 24h        # tail the cross-persona action-failure log
wonda wab top-failures --since 7d             # rank local WAB failures by platform/action/reason, joined with DOM recovery stats
wonda wab top-failures --platform x --json    # machine-readable local failure ranking
wonda wab bundle-failures list                # recent action failure bundles (one per failed run: screenshot, dom, visible-elements, cookies-summary REDACTED)
wonda wab bundle-failures show <id>           # print manifest + file tree for a bundle (id = unix-ms-ts prefix)
wonda wab bundle-failures ship <id>           # zip to ~/Downloads/wonda-failure-<id>.zip for sharing
wonda wab bundle-failures prune               # remove bundles older than 30d (or --max-per-persona, --all)
# Telemetry: on every wab action failure we report (action, platform, reason, error-string, has_bundle, cli_version) as a wab_action_failed PostHog event so maintainers can spot platform rotations across users. NO bundle contents, NO cookies, NO DOM, NO screenshots leave the user's machine. Opt out: WONDA_TELEMETRY_DISABLED=1. For server-side breakdowns, group `wab_action_failed` by `platform`, `action`, `reason`, and `has_bundle` in PostHog. Locally, `wonda wab top-failures` reads only `~/.wonda/wab/errors.jsonl` and persona-local `dom-recoveries.jsonl`, then shows count, last seen, recovered rate, bundle count, and a sample bundle id.
wonda wab migrate-legacy                      # copy a legacy WAB-driver profile into a persona slot
wonda wab restore <persona> [timestamp]       # restore from an hourly snapshot (--list to enumerate)
wonda wab backup disable                      # opt out of auto-push (on by default; existing cloud backups untouched)
wonda wab backup enable                       # opt back in (auto-push synced cookie JSON to wondercat after every disk sync)
wonda wab backup status                       # show config + remote inventory
wonda wab backup push [account]               # one-shot manual push for all platform bindings
wonda wab backup pull [account]               # guarded restore to ~/.wonda/<platform>-cookies/<account>.json; refuses non-empty local unless --force
wonda wab backup pull [account] --dry-run     # preview restores without writing
wonda wab backup list                         # inventory of cloud backups, including device/provenance metadata when available
wonda wab backup delete <plat> <persona> [acct] # remove one backup
wonda wab cookies list                        # explicit cookie backup inventory, metadata only
wonda wab cookies status [account]            # local cookie files plus cloud backup rows
wonda wab cookies port <plat> <persona> [acct] --from-device <id|label> # safely port one selected cloud row to this machine
wonda wab config set <persona> <key> <value>  # persist per-persona spawn defaults (idle-timeout, locale, visible, interactive, proxy_url, timezone, geo_lat/lon)
wonda wab config get <persona>                # print a persona's persisted config

Keep cron personas warm. A persona that continuously backs cookie-only read crons can use wonda wab config set <persona> idle-timeout off, followed by wonda wab start <persona>. The WAB then stays up and its existing 10-minute cookie sync keeps the flat files current. Use always-on only for cron-backing personas; wonda wab config unset <persona> idle-timeout restores the default 30-minute idle shutdown.

Local browser proxy (proxy_url). By default the local WAB dials direct (your own IP). Set wonda wab config set <persona> proxy_url managed to route the LOCAL browser through your account's minted twin proxy, so it shares the same egress as the cloud twin (useful for IP continuity or a VPN/office/CGNAT network). A literal socks5://…/https://… value is a manual override instead; unset clears it back to direct. The proxy is optional: if minting is disabled for the environment or unavailable, the browser falls back to a direct dial.

Lifecycle commands take an --account (e.g. wonda wab login <account> linkedin); the persona is auto-derived from the account name. wonda wab bind is the one place a persona is named explicitly: use it when one Chromium must host accounts that have different names per platform.

Scroll a page like a person (browse). wonda wab browse [url] --persona <persona> loads a page in the persona's WAB and scrolls it: a pause to look at the page, then scroll, pause, scroll, for --scrolls times (default 5). --scrolls accepts 1-200; a value outside that range is a hard error, not clamped, and it is rejected before a browser is launched. --first-wait (default 10s) is the pause before the first scroll; --wait (default 5s) is the pause between scrolls; both are jittered +/-30% because a precisely repeated interval is itself a fingerprint, and both are floored at 250ms so a very small value is not jittered down to zero — --first-wait 0 --wait 0 still pauses ~250ms per wait, not 0, so with --scrolls 200 that floor alone adds up to roughly 50s. It only scrolls — no clicking, no engagement — so it works on any site.

Progress is measured on the element that was actually scrolled: the viewport-filling overflow container when the site has one (LinkedIn's feed lives in <main id="workspace">, where window.scrollY never moves at all), otherwise the document scroller. Scrolling stops early once that element stops advancing across 2 consecutive scrolls, reported as (reached bottom) in the printed summary, so a short page does not grind against the bottom. An infinite feed keeps going for the full --scrolls.

--persona falls back to your configured default account exactly like the other wonda wab commands, and an invalid persona name is rejected up front instead of silently creating an empty logged-out profile. With a url, browse navigates in its OWN isolated tab (like every other WAB write) and reports the page actually browsed (after any redirect). Omitting the url dispatches to the persona's shared default tab instead — the driver's initial page, the same tab id wonda wab show/hide reference — scrolling whatever that tab already shows. wonda wab login does NOT leave anything there: it opens and navigates its own separate <platform>-login tab, so a persona that was just logged in still has an untouched default tab (often still about:blank). wonda wab show/hide don't navigate the default tab either — they only toggle the window's on/off-screen visibility — so neither one "opens a page" there. What actually leaves a page on default is something that navigates it directly, e.g. wonda wab start --open <platform|url> (also what the MCP wab_open tool calls). This is NOT a way to continue a page from a previous wonda wab browse <url> run: that run navigated in its own isolated tab, which the no-url form never sees. If the default tab has no page open (about:blank) — the common case right after logging a new persona in, since login's tab is separate — the command fails and asks for a url rather than reporting a successful scroll of nothing.

browse prints a plain-text summary, not JSON, so the global --json / --fields / --jq flags do not apply to it.

wonda wab browse https://example.com --persona <persona> --scrolls 6
wonda wab browse --persona <persona>                      # scroll the shared default tab's current page, no navigation

Anonymous PNG capture (screenshot). wonda wab screenshot has a compatibility-preserving persona mode and a new anonymous URL mode.

wonda wab screenshot [persona] still captures the persona's already-open tab without surfacing the window. Its existing flags retain their meaning: --tab selects the tab, --full-page captures the scrollable page, and --output writes a file. With --json and no output file it still returns {path, base64, mimeType} so MCP and existing automation receive the inline PNG unchanged.

An absolute http:// or https:// argument selects anonymous mode. It launches a fresh ephemeral Chromium with no persona, cookies, or persistent state:

wonda wab screenshot \
  'http://127.0.0.1:8765/hero-lab.html#close-colorflight' \
  --output tmp/close-proof.png \
  --viewport 2048x982 \
  --scale 1 \
  --wait-until networkidle \
  --wait-for '#hero-preview' \
  --delay 700ms \
  --animations disabled

Anonymous defaults are --viewport 1280x720, --scale 1, --wait-until networkidle, --delay 0, and --animations allow. --wait-until accepts load, domcontentloaded, or networkidle. Wonda automatically waits for document.fonts.ready; --wait-for <selector> waits for a visible element, and --delay <duration> adds a final settling delay. --inject-js <file> runs after navigation in an async IIFE, so top-level await works.

For deterministic motion, use --animations disabled to finish finite animations and cancel infinite ones at capture, or --freeze-at 800ms to seek Web Animations to an exact timeline offset and pause them. The two options conflict. --selector '.hero-stage' captures the first matching element. --clip x,y,width,height captures an exact document-coordinate rectangle in CSS pixels. The rectangle may extend beyond the viewport but must fit within the rendered page. --selector, --clip, and --full-page are mutually exclusive capture modes.

Pass several absolute URLs to capture all of them. Or pass relative path, query, or quoted hash arguments after one absolute base URL; when any relative target is present, the first URL is only the resolution base and is not captured separately. Add --viewports for a viewport matrix. Chromium launches once for the whole batch:

wonda wab screenshot http://127.0.0.1:8765/hero-lab.html \
  '#fast-close' '#close-colorflight' \
  --viewports 2048x982,1440x1000,390x844 \
  --output tmp/qa \
  --output-template '{route}-{viewport}.png'

For a single capture without --output-template, --output is the PNG path. For a batch, manifest, or any template-driven capture, it is an output directory. --output-template supports {index}, {route}, and {viewport}, and expanded paths must be unique. {route} is sanitized; overlong expanded path components are shortened with a stable hash suffix. --viewport and --viewports conflict. Without output flags, one URL writes screenshot-<timestamp>.png in the current directory and a batch writes under screenshots-<timestamp>/. A template without --output is relative to the current directory, or to the manifest directory when it comes from the manifest.

A strict JSON manifest describes the same matrix:

{
  "url": "http://127.0.0.1:8765/hero-lab.html",
  "routes": ["#fast-close", "#close-colorflight"],
  "viewports": ["2048x982", "1440x1000", "390x844"],
  "scale": 1,
  "waitUntil": "networkidle",
  "waitFor": "#hero-preview",
  "delay": "700ms",
  "injectJs": "scripts/visual-state.mjs",
  "animations": "disabled",
  "outputTemplate": "{route}-{viewport}.png"
}

Run it with wonda wab screenshot --manifest visual-qa.json --output tmp/qa. Use urls instead of url for independent absolute targets; routes resolves relative to url. Manifest keys mirror the anonymous scalar flags in camel case, including freezeAt, selector, clip, and fullPage. Explicit CLI flags override manifest values.

Anonymous --json returns {ok, captures: [...]} without embedding PNG bytes. Every capture reports url, finalUrl, viewport, dpr, pageDimensions, consoleErrors, failedRequests, and fontsLoaded. A successful capture also reports path, which means the PNG was written there. A failed capture omits path, carries error, and keeps any diagnostics collected before the failure. The browser continues the remaining matrix after an item fails and exits nonzero when any capture failed. Use this output for visual QA diagnostics. Non-JSON output prints only successfully generated PNG paths.

Anonymous video capture (record). wonda wab record <url> records a URL to webm in an ephemeral Chromium (fresh fingerprint each call, no persona, no cookies). Use it for cookie-banner-gated pages (Notion public shares, pdf.js renders, any site where bare Playwright trips a bot check) and marketing demo capture.

wonda wab record https://example.notion.site/page \
  --output recording.webm \
  --duration 5 \
  --viewport 960x1080 \
  --inject-js scripts/page-script.mjs   # optional: runs after load, before timer starts

# Transcode webm to mp4 at 30 fps (the stealth browser records webm/VP8)
ffmpeg -y -i recording.webm -t 5 -r 30 -an \
  -c:v libx264 -pix_fmt yuv420p -crf 18 recording.mp4

The --inject-js file is wrapped in an async IIFE so top-level await works. It runs AFTER domcontentloaded + networkidle + 400 ms paint settle, BEFORE the duration timer starts. Any await inside counts against the recording window. Use it for dark-theme injection, cookie-banner removal, scroll animations, anything that needs to happen in page context.

Node.js requirement: wonda needs Node >= v20 on PATH. Brew users get it via the node dependency; npm users have it by definition; install.sh users may need brew install node (or any Node distribution). If Node is missing, wonda wab install fetches a private copy into ~/.wonda/node/.

Cookie cloud backup. On by default (opt out per machine with wonda wab backup disable). The WAB driver pushes the synced cookie JSON for each bound platform to the wondercat backend after every wab → disk sync and graceful shutdown; auto-push no-ops when no api_key is configured. Encrypted at rest server-side (AES-256-GCM) when SOCIAL_COOKIES_KEY is set, else plaintext jsonb; the wire payload is always plaintext because the server holds the key. Cookie values are never printed by list/status/port commands.

Recovery is guarded. wonda wab backup pull <account> and wonda wab cookies port <platform> <persona> [account] refuse to overwrite a non-empty or newer local cookie file unless --force is passed. Forced writes create a hidden .before-pull-* backup first. Use --dry-run to inspect planned writes. When the backend exposes multiple device rows for the same platform/persona/account, use wonda wab cookies port ... --from-device <id|label> so the source row is explicit.

Current backend compatibility: legacy servers still expose one last-write-wins row per (account, platform, persona, account_label). Newer servers may include device_id, device_label, source, status, generation, and provenance; the CLI displays those fields when present and shows legacy rows as device legacy.

Source lives at cli/wondercat/wab/. The driver is launch.mjs and per-platform action scripts under actions/<platform>/.

WAB reads fail early when the selected browser profile has no live platform session cookie. For LinkedIn, X, Reddit, and Instagram, the error includes wonda wab login <persona> <platform> instead of surfacing an unexplained platform 401/403. This preflight is read-only; writes retain their existing error handling and native login itself is unaffected.

Per-command transport (--via). linkedin, x, and reddit commands take:

• --via cookies|wab: cookies reads the flat per-account JSON store (fast, no Chromium); wab routes through the account's persona Chromium (cookies + TLS fingerprint inherit from a real browser session). An unsupported value errors loudly rather than silently downgrading.
• --via public: paid public-data API where a command explicitly supports it. For LinkedIn this avoids logged-in cookies and WAB profile reads, and uses the public scrape task route for wonda linkedin profile and wonda linkedin enrich.
• --account <name>: which on-disk identity to use (cookie filename / persona). Persona resolution is implicit: the first --via wab use auto-creates a persona named after the account and (on a TTY) chains straight into login.

Defaults differ for reads vs writes. Read commands (profile, posts, search, timeline, etc.) default to cookies (direct API), because that path is fast and detection-safe. Write / engagement commands (post, comment, like, follow, connect, message, mute, repost, delete) default to wab, because the cookie-API path triggers anti-abuse heuristics on LinkedIn / X / Reddit at any meaningful volume. Pass --via cookies to a write command if you explicitly want the legacy API path (where the command supports it).

Commands that require --via wab. A few commands have no cookie path and only run through the Wonda Automation Browser: wonda linkedin comment, wonda linkedin reply-comment, wonda linkedin mute, wonda linkedin follow, wonda linkedin edit-post, wonda linkedin edit-comment, wonda linkedin delete-comment, wonda linkedin post --media, wonda x delete, wonda x reply --attach, wonda x dm send, wonda x dm accept, and wonda x dm start. On these, the default already resolves to wab (one stderr line noting it); passing --via cookies explicitly errors. Reddit's writes (vote, comment, subscribe, save, unsave, delete, and subreddit submit) are likewise wab-only.

Where it runs (--engine). --via picks the transport (browser vs. cookies); --engine picks the location, and the two are orthogonal. Values: local (this machine's WAB), cloud (the account's cloud twin, reached through the twin-action API with the control-session warm-up hidden behind a blocking wait), or auto (the default). auto resolves to local when the identity lives on this machine and cloud when it only exists as a cloud twin (a persona with no local footprint, or one cached as home=cloud from wonda twin provision). So wonda linkedin posts <profile> --account <twin> --engine cloud --via wab returns recent posts through the cloud twin's browser with the same structured result as the local command. --via works the same on both engines: reads default to cookies, writes default to wab, and an explicit supported override is preserved. Wired for LinkedIn (posts, connect, like/unlike, comment, reply-comment, edit-comment, send-message, follow, mute, delete-post, edit-post), X (like/unlike, bookmark, retweet/unretweet, follow/unfollow, delete), Reddit (vote, subscribe, save/unsave, delete), and Instagram (comment); other verbs run local only. --engine is accepted at the platform level (so both linkedin --engine cloud posts and linkedin posts --engine cloud work) but honored only on the wired verbs; passing it to another read or an unwired write is a clear error, not a silent no-op. wonda twin run-action is deprecated in favor of <platform> <verb> --engine cloud (it still works so running agents are not broken). On cloud, supports plain likes and reactions (, routed to the action); only comment reactions () stay local for now. resolves to local when a persona has no local footprint and no cloud twin (so first-use auto-create still works), and to cloud when a cloud twin exists for it. An explicit always runs on the cloud twin and never falls back to a live local relay.

Per-account credentials. Cookies live in per-account JSON files on disk:

• ~/.wonda/x-cookies/<account>.json
• ~/.wonda/reddit-cookies/<account>.json
• ~/.wonda/linkedin-cookies/<account>.json (auto-migrated from the legacy single-file format)

Each file is a session-owned local cache, not a portable credential. A platform account may have separate sessions on multiple computers and a cloud Twin. The file records the owning device/persona WAB session, and every injection, overwrite, cookie-only read, refresh, and backup restore checks that identity first. The CLI does not upload these cookies to or download them from the legacy shared hosted-token store. --force never bypasses a session mismatch.

Pass --account <name> to auth set to keep multiple logins side-by-side on the current device. The binding is recorded against the resolved account persona in account-bindings.json, even when --persona is omitted, and if the matching persona's Chromium is running, the rotated cookies get pushed into that live context. Never use auth set to copy cookies from another device or a Twin. Native wab login is safer. The driver also syncs cookies back to disk every 10 minutes (and on graceful shutdown), so rotated cookies (ct0 cycles, token_v2 server-side refresh, etc.) flow back to the cookies path without manual re-paste. Direct X cookie requests also absorb response cookie rotation into the same store and send the full stored cookie jar, preserving device-trust cookies across reads.

The cloud Twin is its own stable, always-on session. Ordinary provisioning does not seed LinkedIn from local cookie files; use wonda twin login <persona> --platform linkedin to log in inside the Twin. Cloud backups are recovery artifacts for their source session only. Inspect local and cloud ownership with wonda wab cookies status [persona]; it never prints cookie values. Recent LinkedIn posts have a direct structured cloud path: wonda linkedin posts <profile> --persona <persona> --engine cloud --via wab. Other reads that are not yet engine-wired can run inside the Twin with wonda twin run-now <persona> --command "<platform read command>"; retrieve the captured result with wonda twin output <twinRunId>, using the id returned by run-now. Neither path downloads Twin cookies locally.

Safely refresh LinkedIn's flat cookie file. Run wonda linkedin auth refresh --account <account> --persona <persona> before a cookie-only read batch. Fresh disk cookies are a fast local no-op. Stale or near-expiry cookies cause one WAB start (a no-op when already running), one WAB-to-disk sync, and a local/WAB-side LinkedIn session check. The refresh path never invokes the raw wonda linkedin auth check probe and never retries credentials. If the WAB session is dead, it exits nonzero with native re-login required; stop the batch and recover manually with wonda wab login <persona> linkedin.

wonda linkedin auth refresh --json returns {fresh, refreshed, ageSeconds, expiresAt, sessionAlive}. fresh describes the final disk state; refreshed is true only when WAB-to-disk sync ran; ageSeconds is the disk cookie age; expiresAt is the known expiry or null; and sessionAlive is the local/WAB-side login result. sessionAlive is null on a fresh local no-op because no WAB check was needed. --fresh-within changes both the maximum accepted disk age and the minimum remaining recorded li_at lifetime (15 minutes by default). Treat a nonzero exit as authoritative even with JSON output.

Cookie-backed LinkedIn reads accept opt-in --freshen alongside --via cookies. It runs the same local preflight only when the disk cookies are stale, then attempts the requested read once. The default remains unchanged: without --freshen, --via cookies stays fast and browser-free.

Safely refresh X's flat cookie file. wonda x auth refresh --account <account> --persona <persona> uses the same local-first lifecycle with X-specific freshness rules. Since auth_token has no locally readable expiry claim, freshness is the cookie store age only. A store newer than --fresh-within (15 minutes by default) is a browser-free no-op. A stale store starts the selected WAB if needed, syncs X cookies to disk, and checks the WAB-side session without invoking the raw x auth check probe. A dead session exits nonzero with the exact native login command.

wonda x auth refresh --json returns {fresh, refreshed, ageSeconds, sessionAlive}. Cookie-backed X reads accept opt-in --freshen; it runs the same refresh only when the selected disk store is stale, pins the read to the refreshed account, and never applies to WAB reads, writes, or auth commands.

Use wonda x auth status --account <name> for a pure-local view of cookie origin, latest capture provenance, generation, ownership, cookie names, and missing device-trust-cookie risk. It never contacts X and never prints cookie values. Use wonda x browser-bootstrap --account <name> to explicitly push the selected stored jar into running WAB personas bound to that account.

Action rate limits

Every platform command (linkedin, x, reddit, instagram), reads AND writes, runs through a per-profile rate-limit guard so a burst doesn't trip a platform's shadow-ban / anti-abuse heuristics. Accounting is per (platform, account) in a rolling 24h window, logged per profile under ~/.wonda/wab/personas/<persona>/ (so a cloud twin's caps persist across runs).

• Reads are paced, never blocked: spacing is jittered to keep a profile under read_per_min (75/min default), holding across separate invocations.

• Writes are checked against per-bucket daily caps. The LinkedIn defaults (other platforms track + count toward the total/day but have no per-type write cap by default):

  bucket	commands	safe	max
  outreach	connect + send-message + inmail	20	40
  post	post	3	5
  comment	comment, reply-comment	10	20
  react	like	25	50
  visit	visit	15	30
  search	search, search-posts	25	50
  total (all non-read)	any of the above	warn at 90%	100

salesnav search (Sales Navigator) is exempt: it carries no Commercial Use Limit, so it paces as an uncapped read instead of counting toward the search cap or the total/day.

Caps are SOFT by default: an over-safe / over-max action prints a shadow-ban-risk warning to stderr and proceeds. Pass --hard (or set mode: hard in config) to make over-cap writes abort (exit 1) instead.

wonda actions is a JSON data query (not a dashboard) for reading a profile's rolling-24h usage vs caps on demand; the caps/pacing/warnings run silently in the live hook regardless.

wonda actions                        # rolling-24h usage per profile vs caps, as JSON
wonda actions --persona <persona>        # one profile
wonda actions --platform linkedin    # filter to one platform
wonda linkedin quota                 # planning view: remaining LinkedIn allowance per bucket (used vs safe/max + remaining, incl. untouched buckets) BEFORE a big pull, instead of hitting the mid-output warnings
wonda actions sync                   # flush local action/health events to your Wonda account
wonda actions sync --persona <persona>   # flush one profile's ledgers
wonda linkedin post "…" --hard       # enforce caps as hard limits for this command

When an API key is configured, the local ledgers (actions log, WAB audit/error logs, cookie provenance) also sync to your Wonda account-health record automatically in the background on every command: best-effort, batched, and idempotent (a stable client event id per record means retries never double count), so offline use keeps working and sync catches up later. wonda actions sync forces a full flush and prints the server's insert/dedup counts; without an API key it is a silent no-op. Only event metadata travels, never cookie values or failure bundles. WONDA_TELEMETRY_DISABLED=1 turns the background sync off.

Override / disable / hard-mode via ~/.wonda/config.json under action_limits (caps are clamped to safety floors/ceilings so an override can loosen but not silently disable the guard):

{
  "action_limits": {
    "mode": "hard",
    "read_per_min": 75,
    "total_per_day": 100,
    "buckets": { "linkedin": { "outreach": { "safe": 15, "max": 30 } } }
  }
}

Config keys

wonda config get|set|list keys:

• api-key: your wondercat API key.
• base-url: API base (defaults to prod, set to https://staging.api.wondercat.ai for staging).
• default-account: account used when a platform command doesn't pass --account.
• wab-backup-enabled: true/false for cookie cloud backup (same as wonda wab backup enable/disable). On by default; only an explicit false disables it.

Transport is NOT a config key. Each command picks it per kind (reads default to cookies, writes / engagement default to wab), identically on every platform. Override it per command with --via cookies|wab (where the platform supports it).

How to think about content creation

You are a marketing director with access to a full production toolkit. Before touching any tool, think:

1. What product category? (beauty, food, tech, fashion, fitness, etc.)
2. What format performs for this category? (UGC memes for everyday products, cinematic for luxury, before/after for transformations, testimonial for services)
3. What's the hook? (relatable scenario, surprising twist, aspirational lifestyle, social proof)
4. What specific scene? (not "product on table" but "person discovering the product in a funny situation")

Decision flow

When asked to create content, follow this order:

Step 1: Gather context

wonda brand                                                    # Active brand: identity, colors, fonts, logos, products
wonda brand list                                               # All brands owned by this account/org
wonda brand show <brand-id>                                    # Specific brand
wonda brand extract https://stripe.com                         # Local-only: writes ./output/stripe.com/{DESIGN.md, tokens.json, assets/}
wonda brand extract https://stripe.com --save --make-active    # Local + persist + activate (the common path)
wonda brand extract https://stripe.com --save --name "Stripe"  # Persist with a custom name
wonda brand extract https://stripe.com --no-output --save      # Don't write to disk, persist only
wonda brand save                                               # Persist the most recent ./output/<domain>/ dir to the server
wonda brand save --from ./output/stripe.com --make-active
wonda brand pull <brand-id>                                    # Download a saved brand back to ./output/<domain>/
wonda brand activate <brand-id>                                # Set as the active brand
wonda brand upload-logo <brand-id> https://acme.com/logo.svg   # Attach a logo by URL (--variant wordmark|icon|dark|light)
wonda brand upload-font <brand-id> https://acme.com/Geist.woff2 --weight 700
wonda brand delete <brand-id>
wonda analytics instagram                                      # What content performs well
wonda scrape social --handle @competitor --platform instagram --wait  # Competitive research (if relevant)

# Cross-platform research (if relevant)
wonda x search "topic OR keyword"                              # Find conversations on X/Twitter
wonda x user-tweets @competitor                                # Competitor's recent tweets
wonda reddit search "topic" --sort top --time week             # Reddit discussions
wonda reddit feed marketing --sort hot                         # Subreddit trends
wonda linkedin search "topic" --type COMPANIES                 # LinkedIn company/people research
wonda linkedin profile competitor-vanity-name                  # LinkedIn profile intel

Step 2: Check content skills

Content skills are step-by-step guides for common content types. Each skill tells you exactly which models, prompts, and editing operations to use — and in what order. ALWAYS check skills before building from scratch.

Skills are server-hosted, per-account, and editable (the same model as wonda brand save) — you don't download a folder of .md files you own. Wonda ships a canonical set of default skills, served read-only as the fallback. Pull them live for a task; fork a default into your own copy when you want to tweak it; Wonda keeps full version history. skill list shows your effective skills (defaults overlaid with your own edits), and flags any fork whose default has since changed.

wonda skill list                                # Browse your effective skills (defaults + your own); forks with a changed default are flagged
wonda skill get <slug>                          # Pull a skill's full step-by-step guide live to stdout

Default skill catalog (live source: wonda skill list, which also shows your own forks/edits and flags drift):

video

Slug	What it does
product-demo-video	Premium ~15s multi-beat product demo, a dev hits a pain point, runs your tool, it does something real on screen, the payoff lands, then a branded CTA, built as one HTML composite captured per-frame and muxed with ffmpeg
product-video	Product/scene video from an image or from scratch
split-screen-demo	5-second 16:9 LinkedIn loop, source doc to designed slides comparison ending on a CTA that crosses out the competitors
tiktok-ugc-pipeline	Reverse-engineer a viral reel, generate 5 variations, auto-post
ugc-dance-motion	Dance and motion transfer video from image + reference
ugc-hook-brainstorm	25 graded scroll-stopping UGC hooks, hot casting, iPhone 16 aesthetic, psychological levers
ugc-reaction-batch	Batch produce TikTok-native UGC reaction videos
ugc-talking	Talking-head UGC ad, single clip, two-angle PIP, or long-form 20s+

image

Slug	What it does
creative-static-ads	High-converting single-frame static ads, 6 conversion pillars, 8 format archetypes, 8 psychological hooks
linkedin-media-premium-generation	Render a single stop-the-scroll LinkedIn hero card (1920x1080) using a layered visual vocabulary: italic-serif headline, real product screenshot, paper grain, floating social-proof cards. Six layout patterns sharing the same DNA. Wonda CLI sourcing for real quotes from X / LinkedIn / Reddit.
premium-static-ads	Pixel-perfect HTML+Playwright static ads with brand extraction (wonda brand extract). Real fonts, exact tokens, reproducible templates
tiktok-slideshow-carousel	3-5 slide TikTok carousel that looks organic but promotes your product, hook, bridge, reveal

social-research

Slug	What it does
analyze-reel	Analyze a viral reel or TikTok, viral breakdown + 5 adapted content ideas
linkedin-account-multithreading-map	Map current account coverage, relationship state, and platform-suggested introduction paths across an accepted roster
linkedin-buying-committee-radar	Monitor named accounts for new role matches, job changes, recent posts, and Sales Navigator alerts
linkedin-comment-first-opportunities	Find a few live LinkedIn conversations where the user can add a specific, useful public contribution
linkedin-competitor-engager-watch	Watch named LinkedIn people and turn only their new high-signal engagers into a qualified outreach list
linkedin-engager-intel	Pull every commenter + reactor on a LinkedIn post with profile URLs for warm outreach
linkedin-icp-angle-brief	Turn a LinkedIn profile into an explainable ICP decision and one evidence-backed outreach angle
linkedin-icp-qualify	Enrich LinkedIn engagers with their current employer (industry, headcount, HQ, description) so you can filter for ICP fit
linkedin-inbound-intent-triage	Turn new LinkedIn notifications, invitations, messages, and owned-post comments into an evidenced response queue
linkedin-social-listening	Turn narrow pain, migration, and buying-language searches into a ranked, evidenced LinkedIn shortlist
reddit-subreddit-intel	Scrape top posts, analyze virality patterns, generate post ideas
twitter-influencer-search	Find micro-influencers and amplifiers for product launches

strategy

Slug	What it does
linkedin-post-system	Turn a raw idea into a LinkedIn post that matches proven formats and the user's exact voice. Bootstraps the user's voice corpus via wonda linkedin profile/posts, maps the idea to one of 28 proven content formats, drafts 2 variants with anti-AI-slop guardrails.
marketing-brain	Strategy brain for hooks, visuals, ads, and competitive analysis

utility

Slug	What it does
extract-apply-style	Extract a visual style from any image, then generate new subjects in that style
ffmpeg	Local deterministic media transforms, trim, replace audio, burn captions, social formatting, scene splitting, silence cut, frame extraction, analysis artifacts
image-edit	Edit existing images, img2img, background removal, crop, text overlay, vectorize
slide-generation	Generate branded slide decks from any content source, codebase, Notion notes, or Google Docs
software-ui-mockups	Render real software UIs, terminal/CLI TUIs, the Chrome browser window, the macOS desktop, pixel-accurately in HTML for demo videos, slides, screenshots and docs, from the program's real source of truth
tiktok-caption-presets	TikTok-style textOverlay and animatedCaptions presets applied via wonda edit --preset

Editing skills (optional). When a default doesn't quite fit, fork and edit it instead of working around it. Editing a default forks it into your account automatically:

wonda skill create my-ugc --from ugc-talking    # Fork a default into your own editable copy
wonda skill edit my-ugc --editor                # Record a new version (opens $EDITOR; or --file <md> / stdin)
wonda skill diff <slug>                          # See what changed in the default since you forked it (drift)
wonda skill refactor <slug> --editor             # Re-base your fork onto the updated default, clears the drift hint

If a skill matches → wonda skill get <slug>, read it, adapt to context, execute each step.

If no skill matches → build from scratch (Step 3).

Step 2.5: Decide whether finishing should be local

Not every media task should go back through Wonda editing. Use this routing rule:

• Use wonda for AI generation, AI transcription/alignment, scraping, publishing, hosted transitions, and workflows that need media IDs or remote jobs.
• Use local ffmpeg for deterministic transforms on files you already have or can download: trim, crop/scale/pad, concat (merging multiple clips), replace audio, extract audio/frame, reverse, normalize for delivery, burn captions, split scenes, cut silence, and build analysis artifacts. Always merge clips locally — server-side merge can hang for 30+ minutes once any input exceeds ~7MB.

When a task starts from a Wonda media ID but the actual edit is deterministic, move it to local files first:

wonda media download <mediaId> -o ./input.mp4

Before any local ffmpeg work:

which ffmpeg
which ffprobe
ffmpeg -version
ffprobe -v error -show_format -show_streams -of json ./input.mp4

Font rule for local caption/text work:

• Prefer an explicit font file path over a family name.
• Never assume a font exists. Check first with fc-match, fc-list, /System/Library/Fonts, /Library/Fonts, ~/Library/Fonts, or /usr/share/fonts.
• If the task is mainly local finishing/captions/formatting/splitting/artifact extraction, check the ffmpeg skill before inventing commands.
• wonda edit video runs a local ffmpeg for every editor op: trim, crop, volume, speed, reverseVideo, extractFrame, extractAudio, editAudio, imageCrop, imageToVideo, merge, overlay, splitScreen, splitScenes, skipSilence. The render runs on your machine via ffmpeg: no server-side editor_job and no credit hold for the render itself (inputs are downloaded and the result uploaded around it). textOverlay and animatedCaptions also run locally, via the bundled hyperframes (Chromium) renderer. ffmpeg must be on PATH (wonda doctor verifies). The public API /video/edit, /image/edit, /audio/edit are no longer used for these and return 410 Gone.
• Always merge clips locally. Server-side merge can hang for 30+ minutes once any input exceeds ~7MB, and wonda edit video --operation merge now runs in local ffmpeg by default for the same reason.
• Never mix per-clip audio then concat. Concat the video tracks first, then layer the full voiceover or music track once over the joined timeline. Per-clip audio bakes create cut-line collisions and silent gaps.

Default local export target unless the user asked otherwise:

-c:v libx264 -preset medium -crf 18 -pix_fmt yuv420p -movflags +faststart -c:a aac -b:a 192k

Always pass -y as the first flag so the command auto-overwrites the output. ffmpeg prompts interactively when the output path exists and agent shells hang on that prompt until timeout.

Step 2.6: Pick the right local tool

Editing maps to one of four tools. Pick the first row that matches.

Need	Tool	Why
Primitive transform (trim, crop, speed, merge, overlay, ...)	wonda edit video --operation <op>	Wraps local ffmpeg. Free, deterministic, renders on your machine (no server render, no credits).
Motion graphics, animated text, lower thirds, intro/outro	wonda compose <kind> (hyperframes HTML compositions, local render)	One-shot, no Lambda, no Node bundled into wonda. Requires Node >= 22 + ffmpeg.
Kinetic captions, branded effects pipelines, scene FX	wonda transitions run --preset <name> (miruna's transitions service)	Hosted; richer effect library (SAM3 masking, scene transitions, caption presets).
One-off raw transform not covered by a primitive	Raw ffmpeg via Bash (see the ffmpeg skill)	Faster than picking a wrong primitive; matches "deterministic transform on local files".
Complex multi-step pipeline	Chain the above (wonda edit ... → raw ffmpeg → wonda compose ...)	Each step writes a local mp4; pass it as --input / --media to the next.

Run wonda doctor once on a new machine to confirm ffmpeg, node, and hyperframes are all available. Pass --warm-chrome to pre-fetch hyperframes' bundled Chromium (~150 MB) so the first clipping render doesn't pause to download it. Pass --wab to also audit the on-disk WAB browser runtime (installed driver vs this build's pin, driver tree manifest); offline, read-only, and advisory like --relay.

Examples:

Primitive trim and merge (wonda edit, local ffmpeg):

wonda edit video --operation trim --media $VID \
  --params '{"trimStartMs":3000,"trimEndMs":10000}' \
  --wait -o ./trimmed.mp4

wonda edit video --operation merge --media $A,$B,$C \
  --wait -o ./merged.mp4

Motion graphics intro (wonda compose, hyperframes):

wonda compose motion --template fade-in \
  --text "Q4 Recap" --subtitle "Wondercat" \
  --duration 4 --resolution portrait -o intro.mp4

wonda compose text --input ./clip.mp4 --text "NEW DROP" \
  --position bottom-center -o overlay.mp4

Kinetic captions on a finished clip (transitions service):

wonda transitions run --media $VID --preset caption_word_pop --wait -o final.mp4

Raw ffmpeg for an op no primitive covers (e.g. concat with audio fade out):

ffmpeg -y -f concat -safe 0 -i list.txt \
  -af "afade=out:st=29:d=1" \
  -c:v libx264 -crf 18 -pix_fmt yuv420p \
  -c:a aac -b:a 192k out.mp4

Multi-step pipeline (compose intro → wonda merge with main → transitions captions):

wonda compose motion --template scale-pop --text "Hello" --duration 3 -o intro.mp4
wonda edit video --operation merge --media $(wonda media upload intro.mp4 --quiet),$MAIN_VID \
  --wait -o merged.mp4
MERGED_ID=$(wonda media upload merged.mp4 --quiet)
wonda transitions run --media $MERGED_ID --preset caption_word_pop --wait -o final.mp4

Step 3: Build from scratch (chain endpoints)

When no skill matches, chain individual CLI commands. Each step produces an output that feeds into the next.

Single asset:

wonda generate image --model gpt-image-2 --prompt "..." --aspect-ratio 9:16 --wait -o out.png
# --params '{"quality":"high"}' — auto/low/medium/high (default auto)
# --negative-prompt "..."       — override what to exclude (model-dependent)
# --seed <number>               — pin the seed for reproducible results (model-dependent)
wonda generate video --model seedance-2 --prompt "..." --duration 5 --params '{"quality":"high"}' --wait -o out.mp4
wonda generate text --model <model> --prompt "..." --wait
wonda generate music --model suno-music --prompt "upbeat lo-fi" --wait -o music.mp3

Audio (speech, transcription, dialogue):

# List available voices (TTS + dialogue use the same set)
wonda audio voices

# Text-to-speech
wonda audio speech --model elevenlabs-tts --prompt "Your script here" \
  --params '{"voiceId":"hpp4J3VqNfWAUOO0d1Us"}' --wait -o speech.mp3
# elevenlabs-tts always requires a voiceId — pick one from `wonda audio voices`

# Transcribe audio/video to text
wonda audio transcribe --model elevenlabs-stt --attach $MEDIA --wait

# Multi-speaker dialogue (each speaker needs a voiceId from `wonda audio voices`)
wonda audio dialogue --model elevenlabs-dialogue \
  --prompt 'ALICE: Hi! BOB: Hello!' \
  --params '{"speakers":[{"label":"ALICE","voiceId":"hpp4J3VqNfWAUOO0d1Us"},{"label":"BOB","voiceId":"IKne3meq5aSn9XLyUdCD"}]}' \
  --wait -o dialogue.mp3

Audio AI operations (direct-inference, NOT editor ops):

# Denoise / dereverberate speech
wonda audio enhance --model replicate-resemble-enhance --attach $MEDIA \
  --params '{"denoise":true,"chunkSeconds":10}' --wait -o enhanced.wav

# Split a track into voice and instrumental stems
wonda audio extract-voice --model replicate-demucs --attach $MEDIA \
  --wait -o vocals.wav

Add animated captions to a video:

The animatedCaptions operation handles everything in one step — it extracts audio, transcribes for word-level timing, and renders animated word-by-word captions onto the video.

# Generate a video with speech audio
VID_JOB=$(wonda generate video --model seedance-2 --prompt "..." --duration 5 --aspect-ratio 9:16 --params '{"quality":"high"}' --wait --quiet)
VID_MEDIA=$(wonda jobs get inference $VID_JOB --jq '.outputs[0].media.mediaId')

# Add animated captions (single step)
wonda edit video --operation animatedCaptions --media $VID_MEDIA \
  --params '{"fontFamily":"TikTok Sans SemiCondensed","position":"bottom-center","sizePercent":80,"strokeWidth":2.5,"fontSizeScale":0.8,"highlightColor":"rgb(252, 61, 61)"}' \
  --wait -o final.mp4

The video's original audio is preserved. Do NOT replace the audio with TTS — Sora already generated the speech.

Transitions (effects pipelines on a single video):

wonda transitions presets                            # List built-in presets (JSON)
wonda transitions operations                         # Grouped by category (analysis/effect/...)
wonda transitions operations --json                  # Full per-param metadata
wonda transitions llms                               # Full reference (presets + ops + dependencies)
wonda transitions run --media $VID --preset flash_glow --wait -o out.mp4
# Or send an agent-generated timeline of clips (inline JSON):
wonda transitions run --media $VID \
  --clips '[{"layer_type":"video","start_frame":0,"end_frame":60}]' --wait -o out.mp4
# Or from a file (handy for long agent timelines):
wonda transitions run --media $VID --clips ./timeline.json --wait -o out.mp4
# To attach scene_transitions: pass an envelope (clips + scene_transitions)
# instead of a bare clip array — same file, both fields forwarded.
wonda transitions run --media $VID --clips ./timeline_with_transitions.json --wait -o out.mp4
# where timeline_with_transitions.json is:
#   { "clips": [...],
#     "scene_transitions": [{"name":"crossfade","params":{"duration":8},"boundaries":[60]}] }
wonda transitions job <jobId>                        # Poll a transition job

Use exactly one of --preset or --clips. Requires a full (logged-in) account. Always read wonda transitions llms first when composing a clips timeline. It documents the detect/segment/effect dependencies, which ops need masks, and the full clip-spec shape (layer types, tracks, effects, transforms).

Preset variables (variables block). Each preset declares the template variables it accepts under variables in wonda transitions presets. Each entry has name, description, and required. Required variables MUST be supplied or the job is rejected with a 400 — no more silent skipping. Pass them with --var name=value (repeatable) or, for the common prompt case, the --prompt shortcut:

# flash_glow_prompted requires { prompt }
wonda transitions run --media $VID --preset flash_glow_prompted \
  --prompt "woman in white dress" --wait -o out.mp4

# text_behind_person requires { prompt, text }
wonda transitions run --media $VID --preset text_behind_person \
  --var prompt="the person" --var text="HELLO WORLD" --wait -o out.mp4

# Numeric-typed vars: bare digits are decoded as numbers, "true"/"false" as
# bools, everything else stays a string. Presets that compare frame indices
# numerically (border_frame, marquee_text, quick_motion_text, bg_remove_scale)
# need this — quoting an int turns it back into a string.
wonda transitions run --media $VID --preset border_frame \
  --var exit_start_frame=200 --var exit_end_frame=251 --wait -o out.mp4

The prompt variable is a detection text query describing which subject to mask, fed to SAM3 to produce per-frame segmentation masks. Not a content-generation prompt.

Building a custom --clips timeline that needs detection masks? Add a clip with layer_type: "video" and a mask: {layer_type: "mask", analysis_steps: [{name: segment, params: {prompt: "..."}}]}. SAM3 handles both detection and segmentation in one step from the prompt, so no separate detect step is needed.

Pre-warming masks before render (recommended)

For presets with mask:<label> variables, run wonda transitions ensure-masks first so the render starts with masks already prepared. The first call for a (media, label) pair takes 1-3 minutes; subsequent calls are near-instant.

# 1. Ensure masks are prepared for the labels you'll use, blocking until ready.
wonda transitions ensure-masks --media $VID --labels person,phone --wait

# 2. Run the render. Masks are already prepared.
wonda transitions run --media $VID --preset slide_reflect_background \
  --var "masks=mask:person+phone" --wait -o out.mp4

ensure-masks flags:

• --media MEDIA_ID — required, the video the masks are for
• --label NAME — repeatable, one label per call (--label person --label phone)
• --labels NAME,NAME — comma-separated alternative (--labels person,phone)
• --wait — block until every label is prepared
• --timeout DUR — cap wait time when --wait is set (default 10m)

Multi-prompt syntax: mask:woman+phone in --var is split into separate masks (woman, phone) and unioned per-frame. Pass each sub-label separately to ensure-masks so all of them are pre-warmed.

When to skip ensure-masks:

• Non-mask presets (no mask:<label> variables) — nothing to prepare
• A previous render already used these (media, labels) — already prepared

When ensure-masks matters most:

• First render of a new media with mask-based presets
• Iterating params on a render — pre-warm once, then run as many times as you want without re-preparing

Multi-scene presets (requiresMultiScene: true). Some presets use scene-aware logic and expect a video with multiple cuts/scenes. Check requiresMultiScene in wonda transitions presets. If true, feeding a single continuous shot will produce only one scene and the effect may look underwhelming. Combine clips first or use a video with natural cuts.

Tweaking preset params. Every preset is clip-shape. Pull a single preset with wonda transitions preset <name> --json, read its clips: (single-track) or tracks: (multi-track) field, edit any clip param, and submit as --clips. For multi-track presets, flatten by giving each clip a track index drawn from the track it came from. If the preset declares sceneTransitions:, pass that array through unchanged on the request.

# Single-track preset (e.g. flash_glow_montage): copy clips: directly
wonda transitions preset flash_glow_montage --json | jq '.preset.clips' > clips.json
# edit clips.json