setup
Skill1 starsChanged 31 days agoMITView on GitHub
Set up Stunt Double Studio in this project in one pass with /stuntdouble:setup: find the dev server, draft an actor and checklists from the app's routes, and add the CLAUDE.md notes, tool permission and session hooks, each change shown before it is written.
- Reads credentials
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- check-agent-readinessSkill
- check-brandSkill
- check-complianceSkill
- check-continuitySkill
- check-design-systemSkill
- cloudSkill
- create-actor-panelSkill
- design-reviewSkill
- doctorSkill
- maintain-automationsSkill
- openSkill
- run-qa-suiteSkill
- runSkill
- run-user-interviewSkill
- run-ux-validationSkill
- setup-guardrailsSkill
- triage-feedbackSkill
- verify-changeSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 171 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Run the doctor skill (/stuntdouble:doctor) and relay it.
- Distinctive: line 51
Run again, setup keeps what is there: it adds only what is missing and offers changes to the rest.
“Common” is measured: kept by at least 6 in 10 of the 171 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Stunt Double Studio: setup
/stuntdouble:setup, one of the Studio skills (/stuntdouble:setup, /stuntdouble:run, /stuntdouble:open, /stuntdouble:cloud and /stuntdouble:doctor). Local runs use the person's own Claude plan: this session is the actor, and the plugin's local MCP server (npx stuntdouble@0.1.3 mcp) only drives a local Chrome, writes files and serves the viewer. Nothing else calls a model, and no account is needed. Say so before the first run in a session.
The local server ships only in the Claude Code plugin. Where its tools are missing, use the cloud skills. Schedules, deploy and PR triggers, teams, interviews and several actors at once are cloud work: hand them to setup-guardrails, maintain-automations, run-user-interview, design-review, create-actor-panel or run-qa-suite.
The .stuntdouble/ file format and the hooks are in files.md, in this skill's folder: read it before writing any file.
Setup is the whole onboarding: it leaves the project ready to run and future sessions knowing how. Infer everything the code answers and show it; ask only what it cannot (usually who the user is, and the port when nothing names one). Show each change (the file and what goes in it, or the lines added) and write it only once the person approves; they can approve several at once. Never overwrite a file that exists: merge or append as each step says.
- Run the
doctorskill (/stuntdouble:doctor) and relay it. AFAILline blocks local runs until fixed. - Tell the person plainly: local runs count against their Claude plan, or their API key when Claude Code uses one (doctor notes when
ANTHROPIC_API_KEYis set). Stunt Double makes no model calls. - Find the dev server. Read
package.json(in a monorepo, the app's; ask which app if several have a UI): thedev, thenstart, thenpreviewscript. A--port,-porPORT=in the script, orserver.portin the framework config, wins; else the framework default: Next.js 3000, Vite 5173, Remix 3000 (5173 on Vite), Astro 4321, SvelteKit 5173, Rails 3000 (Gemfile), Django 8000 (manage.py), Laravel 8000 (artisan). With none of these, ask. Show it as one line: "Next.js,pnpm dev, http://localhost:3000". - Write
.stuntdouble/stuntdouble.jsonin the shape files.md shows, withlocal_base_urlset to that origin, and.stuntdouble/.live/added to the project's.gitignore(append the line if missing; create the file if there is none). Add no other keys: the file is strict. - Draft the actor and two to four checklists from the app itself: the README for who it is for, and the real routes (
app/,pages/,src/routes/,src/pages/,config/routes.rb,urls.py,routes/web.phpor the router config). Pick the flows that matter most (sign-up, the core task, checkout) and give each its route URL on the dev origin. Name the actor by role, never a human name. Write 3 to 8 checks per checklist as observable behaviour, each with a lowercase, hyphenatedkeythat never changes, since verdicts and cloud ids follow it. Default topass_failchecks and nopass_threshold: the run then passes when every pass/fail check passes. Useweightedchecks (withweightand apass_threshold) only for two or more where a partial pass means something; one weighted check makes the score all or nothing. Knowledge holds test accounts only (seed files, fixtures), never real credentials: the files are committed. Show the drafts together, then write them. - Check each checklist's URL responds, with one Bash call the person approves:
curl -s -o /dev/null -w '%{http_code} %{url_effective}\n' --max-time 5 <url> .... A connection error means the dev server is not running: say which command starts it and carry on. A 404 means the route is wrong: fix the checklist. Tell future sessions. Append this section to the project's
CLAUDE.md(create it if missing; ifCLAUDE.mdonly importsAGENTS.md, append toAGENTS.md), unless a## Stunt Double Studioheading is already there. Fill in the checklists; keep it plain Markdown so any agent can read it:## Stunt Double Studio `.stuntdouble/` holds Stunt Double checklists that an actor runs in a local Chrome against the dev server (<origin>, started with `<command>`): <checklist>, <checklist>. - After changing a page or flow a checklist covers, offer `/stuntdouble:run <checklist>` before finishing. Never start a run unasked: it uses the person's Claude plan. - Lead with the result ("Failed: 3 of 4 checks passed"), then each failed check with its evidence. Fix what failed and offer to run it again. - Runs are kept in `.stuntdouble/runs/`; never edit them. `/stuntdouble:open` shows them all.- Skip the prompt on every browser action. Add
"mcp__plugin_stuntdouble_local"topermissions.allowin the project's.claude/settings.json: read the file, add the entry to the list (createpermissionsorallowonly if missing) and write it back with every other key as it was. Create the file with just that rule if there is none. That file is shared with the team; offer.claude/settings.local.jsonto someone who wants the rule for themselves only. If the file does not parse as plain JSON (comments, trailing commas, a merge conflict), never rewrite it: show the line and where it goes, and let the person add it. If the write is refused, show the same line, or point them to/permissions(Allow, addmcp__plugin_stuntdouble_local). Enable the hooks the person wants (both by default) by writing
.stuntdouble/hooks.json, withui_globscovering the UI files found in step 5 andchecklists_formapping each checklist to the files of its routes:{ "format": "stuntdouble.hooks/1", "session_summary": true, "suggest_after_edit": true, "ui_globs": ["app/**/*.{tsx,jsx,css}", "components/**/*.{tsx,jsx}"], "checklists_for": { "checkout": ["app/checkout/**", "components/cart/**"] } }See hooks.
- Show what was written in one short list, then offer the first run:
/stuntdouble:run <checklist>, naming the checklist most likely to find something.
Run again, setup keeps what is there: it adds only what is missing and offers changes to the rest.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

