| name | auto-workflow |
| description | Two-mode aeon.yml workflow builder - analyze inspects URLs and emits a tiered, signal-verified skill-enablement plan plus an aeon.yml diff; enable flips slugs to enabled:true and opens a PR. |
| metadata | {"title":"Auto-Workflow Builder","category":"core","var":"","tags":["meta","dev"],"mode":"write","commits":true,"permissions":["contents:write","pull-requests:write"]} |
${var} — selects the mode:
- Analyze (default): a URL to analyze (GitHub repo, X account, blog, project site, API docs, etc.). Multiple URLs comma-separated. Prefix a URL with
force: to re-analyze one already in the ledger. Produces a tiered recommendation article + an aeon.yml diff — it does not mutate aeon.yml.
- Enable:
enable:slug1,slug2,… — flip those skills' enabled: false → true in aeon.yml, validate each against skills/, then commit + open a PR. enable:dry-run:slug1,slug2 validates and reports without editing, committing, or opening a PR.
Example values: https://example.com/blog · @vitalikbuterin, github.com/foundry-rs/foundry · force:https://mirror.xyz/somedao · enable:rss-digest,github-monitor · enable:dry-run:price-alert
Overview
One skill, two ends of the same loop: analyze decides what to enable for a new watch target; enable actually flips the switch. Dispatch enable: with the slugs the analyze run put in its MUST tier and you close the loop — recommendation to merged PR — without a second skill.
Analyze mode verifies every recommendation is backed by an observed signal on the URL, tiers output into MUST (2–3 max) / SHOULD / NICE with a one-line concrete "why", emits a delta against the current aeon.yml rather than a full config dump, stays silent when existing config already covers the URL, and anchors skill names in skills.json (authoritative), not a stale mapping table. It writes an article + updates a ledger; it never edits aeon.yml.
Enable mode does the mechanical part analyze deliberately leaves to the operator: a slug-scoped enabled: false → true substitution in aeon.yml, gated by directory presence / current-disabled-state / chain-conflict checks, committed on a fresh branch and shipped as a PR with per-skill rationale. Explicit opt-in only — the operator names the slugs; nothing flips on main until they click merge.
Shared preamble (run for both modes)
- Read
memory/MEMORY.md for high-level context and skim the last ~3 days of memory/logs/ — drop anything already reported so you don't re-emit the same signal.
- Parse
${var} to pick the branch:
${var} is empty → Analyze branch, empty-input path → exit AUTO_WORKFLOW_EMPTY, notify auto-workflow: set var= to one or more URLs (comma-separated), or enable:slug1,slug2 to flip skills on.
${var} starts with enable: (case-insensitive) → Enable branch. Strip the enable: prefix; the remainder is the slug list (which may itself begin with dry-run:). Go to Mode B.
- Otherwise → Analyze branch. Go to Mode A.
Mode A — Analyze: generate recommendations + aeon.yml diff (default)
A0. Parse input and load context
If the (post-preamble) input is empty → exit AUTO_WORKFLOW_EMPTY, notify as above.
Parse ${var}:
- Split on
,, trim each entry
- Detect
force: prefix on any entry → sets force=true for that URL (skip ledger dedup)
- Normalize each URL:
- Add
https:// if scheme missing
twitter.com/ → x.com/
@handle → https://x.com/handle
- Strip trailing
/, fragment, and tracking params (utm_*, ref, src, s, t)
- Strip trailing
.git on github URLs
- Reject
javascript:, data:, local file URLs → exit AUTO_WORKFLOW_ERROR with the bad URL
Read context:
memory/MEMORY.md — operator interests
aeon.yml — CURRENT skill enablement, var, schedule, model per skill (this is the comparison baseline)
skills.json — authoritative installed-skill list
memory/topics/auto-workflow-analyzed.md (if exists) — for ledger dedup
Ledger dedup: If a URL is in the ledger with analyzed_at within the last 14 days and force is not set for it, skip it with already_analyzed reason. If ALL inputs are dedup-skipped → exit AUTO_WORKFLOW_NO_CHANGE, notify nothing, log a one-line skip entry.
A1. Fetch and classify
For each remaining URL, WebFetch with prompt: "Return page title, meta description, all , og:* meta tags, social handle links (x.com, github.com, t.me, discord), detected RSS/Atom feed URLs, and any token contract addresses (0x… or Solana base58 near the words 'token'/'contract'/'mint'). Report the most recent date on the page. Report the tech stack (Jekyll/Hugo/Next.js/WordPress etc)."
If fetch fails or returns <300 chars of meaningful content, try fallbacks: /robots.txt, /sitemap.xml, gh api for github URLs. If all fail → mark this URL FETCH_FAILED with reason and continue to next URL.
Classify into ONE primary category: github-repo / github-org / x-account / blog-or-news / crypto-project / api-or-docs / research / product / community / personal-site / other.
Extract concrete signals (the "why" anchors for later recommendations):
feed_urls: list of RSS/Atom URLs discovered
x_handles: list of X handles linked from page
github_repos: list of owner/repo from page links
token_contracts: list of (chain, address, symbol) tuples
last_update: most recent date found (ISO)
update_cadence: estimate — active (<7d old), steady (<30d), quiet (<90d), dormant (≥90d)
tech: stack hint if any
If classification confidence is low (sparse signals, no category clearly matches), mark UNCLASSIFIED for this URL and skip to next.
A2. Match signals to installed skills
For each URL, generate candidate skills by intersecting:
- URL
category and extracted signals
- Skills present in
skills.json
Use this hint table — but only emit skills whose slug exists in skills.json (drop any slug not found):
| Category | Hint skills | Requires signal |
|---|
| github-repo | github-monitor, github-issues, github-releases, pr-review, operator-scorecard, repo-pulse, repo-article, code-health | owner/repo resolves via gh api |
| github-org | github-monitor, repo-pulse, repo-scanner | owner resolves as Organization or User with ≥5 repos |
| x-account | fetch-tweets, tweet-roundup, list-digest, refresh-x | x_handle extracted |
| blog-or-news | rss-digest, digest, article | ≥1 feed_url OR dated articles |
| crypto-project | price-alert, token-movers, onchain-monitor, defi-overview, treasury-info | token_contract OR token_symbol |
| api-or-docs | deep-research | product is genuinely new + operator interest match |
| research | paper-pick, paper-digest, research-brief | arXiv-like URL or lab site |
| community | reddit-digest, telegram-digest, farcaster-digest, channel-recap | corresponding channel URL on page |
| product | deep-research, search-skill | operator interest match |
| personal-site | rss-digest, fetch-tweets | needs feed OR handle |
For each candidate, verify: does this URL actually have the data the skill needs?
| Skill need | Verification |
|---|
| RSS feed URL | at least one valid feed_url in signals |
| X handle | x_handle extracted (not just a generic x.com link) |
| GitHub owner/repo | gh api returns 200 |
| Token contract | contract verified on DexScreener/CoinGecko (WebFetch fallback) |
| Topic string | operator's MEMORY.md mentions the topic or category |
If verification fails, do not recommend the skill. Record the skipped candidate as unverified: <reason> in the source-status footer — never carry to the output table.
A3. Tier and justify
Rank each verified candidate into exactly one tier:
- MUST — skill produces the primary value for this URL type AND the URL is active or steady (
update_cadence ≠ dormant). Cap at 3 per URL, 5 total across batch.
- SHOULD — skill meaningfully complements a MUST for this URL, and ≤1h of operator attention/week.
- NICE — tangentially relevant, likely noise unless operator has prior interest signal in
MEMORY.md.
For each tiered recommendation, write a single-sentence why that names at least one concrete signal from the URL:
- ✅ GOOD:
rss-digest — MUST. Feed at /feed.xml, 12 posts in last 30d, cadence active.
- ✅ GOOD:
fetch-tweets — MUST. Handle @example, profile links 3 active product threads.
- ❌ BAD:
rss-digest — MUST. Blogs usually have feeds. (generic, no URL signal)
- ❌ BAD:
token-alert — SHOULD. Crypto project, might want price alerts. (no contract verified)
Banned justifications: "typically", "often", "you might want", "could be useful", "in case". If you catch one of those, rewrite or drop the recommendation.
Dormant URLs (update_cadence = dormant): demote all candidates by one tier. If MUST → SHOULD. If SHOULD → NICE. If NICE → drop.
A4. Compare against current aeon.yml (delta, not dump)
For each tiered recommendation, compute the delta:
| Recommended state | Current state in aeon.yml | Action |
|---|
| enabled:true, var:"X", schedule:"Y" | enabled:false | ENABLE |
| enabled:true, var:"X" | enabled:true, var:"" | SET_VAR |
| enabled:true, var:"X,Y" | enabled:true, var:"X" | APPEND_VAR |
| enabled:true, schedule:"Y" | enabled:true, schedule:"Z" (equivalent cadence) | NO_CHANGE |
| already enabled matching suggestion | — | NO_CHANGE |
Skills with action NO_CHANGE drop out of the output. If EVERY tiered recommendation is NO_CHANGE → exit AUTO_WORKFLOW_NO_CHANGE:
- Log:
### auto-workflow\n- Mode: analyze\n- Input: ${var}\n- Exit: NO_CHANGE — existing config covers ${N_OK}/${N_TOTAL} URLs\n- Ledger updated
- Notify nothing (silence on no-op preserves signal-to-noise)
- Still update the ledger
Recommendations with action ENABLE are the exact slugs the operator can hand back to Enable mode — surface them as a copy-paste enable: dispatch (see A6).
A5. Emit secret/config gaps
For each MUST/SHOULD skill:
- Read
skills/{slug}/SKILL.md (skip if missing — flag CATALOG_DRIFT in footer).
- Grep the skill body for
\$[A-Z][A-Z0-9_]{2,} to enumerate env-var references.
- Compare against workflow secrets referenced in
.github/workflows/*.yml (grep secrets\.[A-Z_]+).
- If an env var is referenced in the skill but never passed through workflows → tag the recommendation
MISSING_SECRET: <NAME>.
Never read or echo secret values. Enumerate names only.
A6. Write article and notify
Output shape (keep it tight — no tables for empty categories):
# Auto-Workflow: ${input_summary}
*${today} · ${exit_mode}*
**Verdict:** ${one_line}
<!-- examples:
"2 new enables, 1 var update. Missing VERCEL_TOKEN blocks deploy-prototype recommendation."
"1 new enable. All else already active."
-->
## URLs
| URL | Category | Cadence | Key signals |
|-----|----------|---------|-------------|
| ... | blog-or-news | active | feed=/rss.xml, 12 posts/30d |
## MUST (apply now)
- **rss-digest** — `ENABLE`, var: `"https://example.com/feed"`, schedule: `"0 7 * * *"`. Feed at /feed.xml, 12 posts in 30d. Secrets: OK.
- **fetch-tweets** — `SET_VAR`, var append: `"@example"`, schedule unchanged. Handle active, 3 product threads last week. Secrets: MISSING_SECRET: X_API_BEARER.
## SHOULD (consider this week)
- **github-monitor** — ...
## NICE (only if interested)
- **paper-pick** — ...
## aeon.yml diff
\`\`\`yaml
# enable
rss-digest: { enabled: true, schedule: "0 7 * * *" }
# update var (existing: "")
fetch-tweets: { enabled: true, var: "@example" }
\`\`\`
## Apply the enables
Flip the `ENABLE` recommendations in one dispatch:
\`\`\`
enable:${comma_separated_ENABLE_slugs}
\`\`\`
(or `enable:dry-run:${...}` to preview the PR without committing)
## feeds.yml additions
\`\`\`yaml
feeds:
- name: Example
url: https://example.com/feed
\`\`\`
## New skill proposals
(none unless ≥2 URLs share a gap no installed skill fills — see constraints)
## Source status
- fetch: ${N_OK}/${N_TOTAL} (failed: ${list with reasons})
- classification: ${N_CLASSIFIED} / ${UNCLASSIFIED count}