setup
Skill1 starsChanged 14 days agoMITView on GitHub
Configure project environments from AGENTS.md. Use to set up, install, bootstrap, or repair local, Docker Compose, or CI environments.
- Reads credentials
191 other projects use a version of this.
Adopted by
Most recently taken up by
- GoogleCloudPlatform/gemini-cloud-assist-mcptheir own version, first seen Nov 15, 2026
- finolabs/vibecodetheir own version, first seen Nov 15, 2026
- quickchatai/quickreviewtheir own version, first seen Nov 15, 2026
- tomw1808/flash-agentstheir own version, first seen Nov 15, 2026
- felipeam86/pipe-skillstheir own version, first seen Nov 15, 2026
- oss-invisible/playwright_mcptheir own version, first seen Nov 15, 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★ 36ksame name
- garrytan/gbrain★ 32ksame name
- nanocoai/nanoclaw★ 31ksame name
- gavrielc/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- aws/agent-toolkit-for-aws★ 3.5ksame name
- agenticnotetaking/arscontexta★ 3.5ksame 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 repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- backlog-refineSkill
- burndownSkill
- code-reviewSkill
- dev-cycleSkill
- issue-diagnoseSkill
- issue-implementSkill
- issue-planSkill
- issue-raiseSkill
- issue-refineSkill
- paper-docSkill
- project-statusSkill
- qaSkill
- weekly-reviewSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 14
Toolchain: Verify every documented tool/version.
- Very specific: line 15
Infrastructure: Start backing services with documented compose commands/targets.
- Very specific: line 22
Never commit secrets (.env, credentials, API keys, user overrides).
- Distinctive: line 28
Run § Build & Validation minimum checks per layer.
“Common” is measured: kept by at least 6 in 10 of the 170 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
Setup
From AGENTS.md: § Build & Validation (versions, commands, compose targets; missing: name it and stop, never guess), § Code Layout & Tech Stack, § Agent Login (local/mock auth).
Modes: local; Docker Compose (container infrastructure, host app unless documented otherwise); CI. Ask if unclear.
Local Development
- Toolchain. Verify every documented tool/version. Missing tools are environment gaps, not code failures.
- Infrastructure. Start backing services with documented compose commands/targets. Reset local DB only when explicitly needed (
docker compose down -v, then restart). - Restore, build, test each layer using exact § Build & Validation commands/directories; skip undefined targets.
- Run with the documented run command.
Rules
- Host-to-container:
127.0.0.1, notlocalhost; container-to-container: compose service names. Only explicitAGENTS.mdoverrides. - Never commit secrets (
.env, credentials, API keys, user overrides); examples stay non-secret. Production uses CI/CD or external secret management, never source control. Config secrets: stop, rotate real ones, replace with placeholders before continuing. - Mock auth only as § Agent Login documents, runtime development, never staging/production config. Otherwise configure its real provider.
- Report PATH/version/sandbox-network restore failures as environment issues, not code failures.
Verification And Output
Run § Build & Validation minimum checks per layer; full build for complete setup. Report mode, verified tool versions, started services, changed configs, validation commands/results, remaining manual steps.
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.

