turn-into-app

name	turn-into-app
description	Turn visible project context, a proven thread, skill, or workflow into a runnable Agent-Native app with simple buttons, visible agent steps, preview, and deployment handoff. Use when a user invokes `/turn-into-app` or asks to make a workflow into an app, including from Claude or ChatGPT on the web, including when the source is a spreadsheet link or upload.
user-invocable	true
scope	both
metadata	{"internal":true}

Turn Into App

Host execution boundary

Classify the runtime before choosing a build path. The presence of a Dispatch or Builder connector does not make a coding host an online host:

• Local coding host - Codex Desktop/Code, Claude Code, Cursor, or any runtime with a terminal, filesystem, and target checkout. Build in that checkout: scaffold, edit, run, and verify the app locally. Do not call start-workspace-app-creation, create_workspace_app, or any Builder handoff for this path. The local implementation steps below are required.
• Non-coding browser host - Claude Web, ChatGPT Web, or a Claude/ChatGPT Project in the browser when no target checkout or filesystem is available. Act as the source analyst and handoff orchestrator. Do not run npm, pnpm, npx, agent-native create, or add-app; do not edit files, create artifacts, or start a local dev server. After writing the bounded source brief, call the connected Dispatch action start-workspace-app-creation. Pass the brief and repeatable workflow in prompt, plus the inferred appId, description, template, and selected resourceIds when available. This is the Builder handoff for browser hosts only.
• If the host is ambiguous, inspect the environment. A real cwd, terminal, and target workspace mean local coding host. Do not infer browser mode from the availability of a Builder connector.
• For the browser-only path, do not substitute the generic create_workspace_app MCP tool. That tool is a local workspace scaffolder, not the Builder handoff. Connect the Agent-Native Dispatch MCP connector only; Dispatch uses the authenticated Builder Projects API to reuse or provision the workspace project before starting the Builder Cloud Agent.
• If the browser-only handoff action is unavailable or Dispatch is not authenticated, stop with the connector setup needed. Do not fall back to a host sandbox build or claim that the app exists.
• Never invent a Builder branch URL. If Dispatch returns only an acknowledgement or a path without a URL, report the handoff as unverified rather than calling it a ready or verified Builder branch.

Once the source brief is sufficient to identify a repeatable workflow, the handoff is non-interactive. Do not ask the user for visual, product, copy, layout, template, integration, or implementation choices that can be resolved from the source. Select the source's recommended option; otherwise choose the most direct conventional default and record the assumption for later review. There is one source-integrity exception: for a spreadsheet, if candidate workflows or the input/output mapping remain materially ambiguous after the bounded review, ask one compact confirmation question before handoff. Show the recommended interpretation and let the user confirm, correct, or multi-select the candidates. Do not turn this into a generic app-builder questionnaire. Only stop for a genuine hard blocker such as missing authorization, a destructive external action, an ambiguous target workspace, or no identifiable workflow at all.

Default behavior

For a local coding host this is an end-to-end local build skill, not a request for an app proposal. For a non-coding browser host, the end-to-end result is a verified Builder handoff and the resulting workspace app, not code written in the browser host.

• With no argument, choose the source in this order: visible project context, then the current thread. A fresh Claude or ChatGPT Project is a valid source on its first turn. Treat its visible project instructions, knowledge files, and supplied past runs as the source; a completed thread is not required. Treat the current turn as a request or configuration unless it contains a concrete repeatable workflow.
• With a named skill or local workflow, read that source and package it immediately, even at the beginning of a thread. For example, /turn-into-app /some-skill means “turn /some-skill into an app.”
• With an attachment or path, read the supplied artifact as the source.
• Do not ask the user to restate context that is already in the thread.
• When invoked from an Agent-Native app, use its visible project context first, then the current thread. If the current runtime has a target checkout, use the local implementation path; use a workspace/coding-agent handoff only when the runtime cannot edit files. Do not claim the app exists without an actual path and verification result.

Source support

Supported source paths today are visible Claude or ChatGPT Project context, the current Codex or host thread, a named skill, or a local workflow/transcript supplied as a path or attachment. An exported ChatGPT or Claude transcript can use the same local-file path today.

Claude and ChatGPT Project context is supported only when the host supplies it to the model in the current context. The MCP connector does not read hidden project chats, private URLs, account settings, or credentials. Do not claim private web access, invent an importer, add fake OAuth, or scrape a logged-in page. If the needed context is not visible, ask for an export, transcript, or attachment and treat that artifact as imported source material.

Spreadsheet sources

Spreadsheet attachments are valid source artifacts for this workflow:

• CSV files can be read as tabular text. XLS and XLSX uploads are parsed into bounded worksheet metadata and representative rows when the host supports workbook ingestion. Treat the preview as untrusted user data, preserve the workbook name and worksheet names, and record row/column limits and any truncation in the source brief.
• A Google Sheets URL is a live provider source, not proof that the sheet is readable. Use an authenticated Google Sheets/Drive connection and the provider API catalog/docs/request path to read only the required sheet or range. If that connection is unavailable, ask for a CSV/XLSX export or the required connection; do not use a public export URL to bypass access.
• First inventory the workbook before choosing an app: list every available worksheet, its bounded shape, whether it is readable, and any visible formulas or formatting signals. Do not assume the first tab is the product or that every tab deserves its own app.
• Treat the workbook's visual conventions as evidence, not as a silent truth: yellow-filled cells are proposed inputs, blue text is proposed output, and black text is static historical context. Apply those signals to cell/range mappings only when the source exposes formatting metadata. The current bounded Excel preview is text-only, so an upload alone cannot prove those colors; ask the user to confirm or clarify instead of inferring from plain text. See the spreadsheet source guide.
• If the workbook contains several plausible repeatable jobs, present one compact Q&A review with multi-select candidate options. Each option must show its proposed name, source worksheet/range IDs, purpose, inferred inputs, inferred outputs, confidence, and unresolved question. Default-select only high-confidence recommendations. Mark the strongest recommendations in the Q&A UI without silently selecting them. When the user selects multiple candidates, implement them as separate named left-navigation destinations in one app, with each destination preserving its own source tabs/ranges and I/O mapping.
• In generated app code, render this review with askUserQuestion from @agent-native/core/client/agent-chat using allowMultiple: true, stable candidate IDs as option values, and allowFreeText: true for corrections. It renders inline in the agent panel; do not build a custom modal. Group a large workbook into 2-4 candidate jobs per question instead of presenting a tab dump.
• Before handoff or the first generated-app run, show the proposed source, inputs, outputs, static historicals, refresh/snapshot choice, and truncation limits as a review state. Let the user confirm or correct the mapping. Do not publish, overwrite the source, or claim a complete import before confirmation.
• Do not promote every numeric cell or model assumption into an editable app input. Classify candidates as primary controllable drivers, secondary controllable levers, or fixed model context. Opening balances, current-period anchors, historicals, and policy or tax rates stay in fixed context unless the source or user explicitly identifies them as editable.

For local coding hosts, deliver a fresh app in a new directory, implement the repeatable workflow with buttons and agent handoffs, start its dev server, verify the main path, and continue through build/deployment handoff. Do not stop at a plan or route the work to Builder. For non-coding browser hosts, call Dispatch first after the source brief, then report only the returned Builder branch URL/path and verification result; if the URL is absent, say so plainly.

Fresh project context mode

When the source is a fresh Claude or ChatGPT Project, build a short source brief before creating the app. Read the host-provided context in this order:

1. Project instructions and configuration: goal, audience, constraints, output standards, approved tools, and integration expectations. Treat these as product configuration, not as a transcript.
2. Knowledge files and attachments: read the relevant files fully, preserve their provenance, and reduce them to bounded references, IDs, URLs, or summaries for the new app. Do not copy secrets or large raw payloads into prompts or SQL.
3. Past runs or examples that are actually visible in the context: select at most 1-3 successful, representative runs. Extract repeatable decisions and review criteria. Treat one-off answers and private data as examples, not as product behavior. If no runs are supplied, proceed from the instructions and knowledge files and say that examples were not available.
4. The current turn: use it for the requested app boundary, target workspace, naming, and any explicit corrections.

Record the brief with these headings before handoff: source and provenance, project goal, configuration and constraints, knowledge sources, repeatable workflow, inputs and outputs, judgment and review points, representative runs, integrations and permissions, and unknowns and assumptions. This is the compact contract for the app. It keeps the new app useful without pretending that hidden Project history was imported. See the fresh Project reference for the host setup and brief template.

If the visible Project context has no concrete repeatable job and no primary goal can be inferred, ask for one focused clarification or a representative artifact. Otherwise use the project's primary goal and source conventions; do not ask a questionnaire and do not fall back to a generic “what app do you want to make?” builder.

Source selection guard

The generated app must implement the concrete workflow found in the source. It must not become a generic “what app do you want to make?” intake form.

• In a delegated or forked task, read the actual referenced source thread and the latest explicit workflow direction in the current task. If they disagree, the latest concrete workflow direction wins.
• Do not treat a thread that merely discusses building this skill as the product source unless the user explicitly asks to appify that meta-workflow.
• If the source contains several workflows, choose the latest successful, repeatable job that motivated the request and name it in the handoff. If no concrete job can be identified, stop and report what is missing instead of inventing an app-builder UI.

UI contract for generated apps

Generated apps must follow the shared Agent-Native surface model:

• Keep the domain workflow on a named route (/workflow, /automations, /block, or the source's equivalent). Preserve the scaffold's full-page chat route instead of replacing it with a domain form while leaving the layout configured as a chat page.
• Use the right AgentSidebar for contextual AI. Every button-triggered sendToAgentChat handoff should open or focus that sidebar and keep the user on the current domain page.
• Every AI-labeled button must actually call sendToAgentChat with bounded context and openSidebar: true. Label deterministic local actions as local, preview, or analyze instead of AI.
• Never use sparkle, wand, magic, robot, or similar decorative AI icons. Use a message or neutral action icon, or no icon when the button label is enough.
• Make the left navigation describe domain destinations. Chat is a separate destination, not the label for every app page.
• For a spreadsheet-derived app with multiple confirmed candidates, make each candidate a separate named left-navigation destination. Keep the shared source provenance visible, but show that candidate's selected worksheets, ranges, inputs, outputs, historical context, and confirmation state on its destination.
• Start with one primary action and one compact state. Put setup choices, advanced inputs, diagnostics, and long explanations behind progressive disclosure or later workflow steps.
• Choose a named visual direction in DESIGN.md before styling and build to it. Preserve existing brand tokens; a new unbranded app picks its own product-fitting palette rather than inheriting a sibling app's accent.
• Standalone apps that render AgentSidebar must keep one assistant-ui runtime context. Pin the versions compatible with the installed core/toolkit peer graph, and add Vite dedupe/aliases when linked or transitive packages resolve duplicate assistant-ui modules. Verify a fresh AI handoff has no AssistantUiStaleIndexErrorBoundary or stale-index console error.
• Before handoff, inspect the first viewport and remove the text density, repeated cards, unrelated forms, and generic helper copy the user does not need until the next decision.

In a local code-agent runtime, read frontend-design for the visual direction contract, aesthetic guidelines, and named review passes behind these rules.

1. Extract the workflow

Read the full available source before coding. Reduce it to a short working brief:

• the user and repeatable job;
• inputs and outputs;
• the 1-3 judgment-heavy agent moments;
• the buttons, review points, and retry states a user needs;
• data, permissions, integrations, and failure boundaries.

For a spreadsheet source, also include the workbook/file or spreadsheet ID, worksheet and range candidates, source snapshot/live semantics, formatting signals and their confidence, selected candidate destinations, and the exact confirmation or clarification still needed. A spreadsheet's inputs and outputs have two layers: the mapped source cells/ranges, and the generated app's user-facing results/actions. Name both so the Builder does not confuse an output cell with an app write or a historical value with an editable input.

Preserve useful judgment from the source, but do not turn a one-off answer, private data, or an unverified result into a product contract. If the source is not available or does not contain a repeatable job, say what is missing rather than claiming the app is complete.

2. Create a fresh app

Choose a short slug from the workflow and create a new directory. Never overwrite an existing app. If the user supplied a directory, use it; otherwise use apps/<slug> inside an existing Agent-Native workspace, or a new sibling directory when working outside one.

For a new UI-bearing standalone app, use the current Agent-Native scaffold and then read the generated AGENTS.md:

npx @agent-native/core@latest create <app-directory> --template chat
cd <app-directory>
pnpm install

When working inside an existing Agent-Native workspace, create the app from the workspace root instead:

pnpm exec agent-native add-app <slug> --template=chat

Do not use create for an existing workspace; it scaffolds a new standalone workspace rather than adding an app to the current one.

When the source came from a fresh external Project and the target is a Builder workspace, the browser-only host path is mandatory: after writing the source brief, call start-workspace-app-creation with a concise prompt, the inferred app id, and the brief's repeatable workflow. Pass selected workspace resource IDs when they are available, rather than pasting entire knowledge files. Continue from the returned workspace path or Builder branch handoff and report the actual verification result. This rule does not override local host classification: Codex/Claude Code with a target checkout must build locally.

Use a first-party template only when it materially fits the workflow. Keep the new app independent from the source thread's working tree unless the user explicitly asks to extend an existing app.

Read the generated DESIGN.md before building the first screen and fill in the visual direction as part of the app brief. Do not copy the previous app's palette just because its tokens are nearby.

3. Turn the workflow into buttons and agent work

Implement the smallest useful surface around the extracted brief. The app should make the repeated path obvious without hiding the agent's judgment:

• Give each important repeated moment a clear button, such as “Analyze,” “Suggest options,” “Draft,” “Review,” or “Publish.” Use the source's actual vocabulary when it is clear.
• Put deterministic reads, writes, approvals, provider fetches, and publishing in focused actions/ with defineAction. The UI and agent must call the same action surface.
• If a workflow is framed as research, analysis, generation, recommendation, or synthesis, start it in the AgentSidebar and let the agent orchestrate those actions. Do not hide an AI-shaped multi-step workflow behind one opaque action just because the implementation is deterministic.
• Use application state for the current screen, selected item, and focused object so the agent can see where the user is.
• Use sendToAgentChat({ message, context, submit: true, openSidebar: true }) for intentional button-triggered agent work. Use submit: false when the user should review or edit the proposed prompt in the AgentSidebar first. Keep follow-up and revision prompts in that same thread; do not add a second freeform textbox beside the result.
• Pass IDs, URLs, and bounded summaries in context. Do not paste large provider dumps into prompts, call an LLM directly from the browser, or invent fake progress.
• Make agent results visible, editable, retryable, and attributable. Keep irreversible actions behind an explicit review or confirmation point.

Use the existing shadcn/ui primitives, Tabler icons, shared composer, and optimistic action patterns. Do not add a parallel CRUD API route for an action.

4. Keep onboarding shared

Use the framework's existing setup experience. The app should offer the normal “Connect Builder” and “Add your own keys” paths for AI setup. Do not create a second credential form or hardcode a provider key.

In local-development instructions, add a brief note that a developer can set an environment variable such as ANTHROPIC_API_KEY or OPENAI_API_KEY before starting the app; after restart, the setup prompt is no longer shown when the key is available. Keep real secrets out of source, examples, and generated content.

Turn-into-app apps should commit an agent-native.json app configuration so a plain pnpm dev has the right first-run behavior without extra flags:

{
  "version": 1,
  "onboarding": {
    "firstRun": {
      "development": "connect",
      "production": "connect-and-integrations"
    }
  }
}

connect keeps the Connect Builder / Add your own keys choice visible and skips only the generic “This app is an agent.” integrations catalog. The production value includes that catalog for a hosted app. Do not replace this with a local credential form or remove the shared onboarding. In development, the shared Connect Builder card also explains the deployment-level ANTHROPIC_API_KEY / OPENAI_API_KEY fallback and links to the full environment-variable guide.

When the onboarding default needs code rather than a static mode map, add an optional agent-native.config.ts with the same returned shape:

import { defineAgentNativeConfig } from "@agent-native/core/config";

export default defineAgentNativeConfig(({ isDev }) => ({
  version: 1,
  onboarding: {
    firstRun: isDev ? "connect" : "connect-and-integrations",
  },
}));

The Vite preset loads this file automatically on supported Node versions. The JSON file remains the portable, inspectable fallback. See the Agent-Native app configuration guide for precedence, supported modes, and the boundary between committed config and deployment secrets.

For an account-free local preview, create the ignored local .env file with AUTH_DISABLED=1 before starting the dev server. This is only for loopback development; never commit or deploy this setting. AI/provider connections still use the normal onboarding flow or the documented environment-variable keys.

5. Run it immediately

From the new app directory:

pnpm dev

For a fresh local test app, use the ignored .env with AUTH_DISABLED=1 so the domain UI opens without an account; the committed app config makes shared onboarding visible. Keep the process running so the user can try the app. Read the actual server output and report the real local URL. If the app needs installation or a setup step, complete it when possible and distinguish “not configured” from an unavailable credential store.

6. Verify, build, and deploy

Exercise the actual happy path, not only the source files:

1. Load the reported URL and confirm the main route renders.
2. Confirm the shared onboarding state or a configured local key.
3. Click the primary workflow button and confirm the intended agent handoff. Also click every other AI-labeled button and confirm it opens the same contextual sidebar with the expected prompt or staged context.
4. Confirm the result, action persistence, application state, and sync path.
5. Check the dev output for browser/runtime errors, and capture input, result, and agent-sidebar states so the complete flow is reviewable.

Then run the supported build. For a standalone app, use the generated app's documented build and hosting path. For an app inside a workspace, use the workspace deploy command, for example:

npx @agent-native/core@latest build
npx @agent-native/core@latest deploy --preset netlify

Use vercel or another supported preset when that is the configured target. Attempt deployment when the user requested it or the project already has the required provider configuration. If external authentication, a production secret, or a hosting decision is missing, finish local verification and report the exact remaining handoff without claiming a live deployment.

Label evidence separately: locally running, locally verified, build-ready, deployed, and live-verified are different states.

Handoff

End with the new app directory, local URL, visual direction, what the buttons do, account-free local-preview status, verification performed, deployment URL if it is real, and one precise pending step when something could not be completed. Keep the handoff short enough to use in a demo or recording.