bootstrap
Skill1 starsChanged 12 days agoMITView on GitHub
Sets a project up for the workflow in AGENTS.md: fills docs/context.md, the spec skeleton, the test strategy, the threat model, and the architecture from the code or the product brief, and sets a check command proven to fail. Run once per project, while docs/ still holds STATUS: TEMPLATE markers, or when the user asks to set up or adopt the workflow.
70 other projects use a version of this.
Adopted by
Most recently taken up by
- victorbeppler/claude-bootstraptheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
- joi-fairshare/agentic-workflowtheir own version, first seen Nov 8, 2026
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- ArcticFox2029/chamnantheir own version, first seen Nov 5, 2026
- J-T-McC/dev-teamtheir own version, first seen Nov 1, 2026
Used with
Projects with it also use surprise-me, ppt-generation 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.
stophobiaSkillsurprise-me
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
Also in 3 projects that use this
HK-hubSkillppt-generation
Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.
Also in 3 projects that use this
stophobiaSkillgithub-deep-research
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
Also in 3 projects that use this
HK-hubSkillconsulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
Also in 3 projects that use this
MicrosoftSkillpodcast-generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
Also in 3 projects that use this
VercelSkillvercel-deploy
Deploy applications and websites to Vercel with a claimable preview. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment". No authentication required - returns preview URL and claimable deployment link.
Also in 4 projects that use this
- +1 more from HK-hub
Other versions70 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 70
- bytedance/deer-flow★ 85ksame name
- mozilla-mobile/firefox-ios★ 13ksame name
- openai/plugins★ 7.8ksame name
- modelscope/OpenJudge★ 1.1ksame name
- agentscope-ai/OpenJudge★ 1.1ksame name
- iovisor/ubpf★ 996same name
- stophobia/deerflow2.0-enhanced★ 821same name
- infragate/capa★ 718same name
- EvovexAI/EvoFlow★ 612same name
- vercel/vercel-plugin★ 328same name
60 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 repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- templates/CLAUDE.mdCLAUDE.md
- address-reviewSkill
- code-reviewSkill
- grillingSkill
- security-reviewSkill
- unslopSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 62 edited versions we read keep these.
3
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
- Distinctive: line 34
Write no product code; the checks need one trivial module and test.
- Very specific: line 55
Start the Local run command in docs/test-strategy.md and load one page or call one endpoint through it.
- Distinctive: line 61
Stop with three plain lines: what is done, anything unproven or skipped and why, and which files to read.
- Distinctive: line 64
no remote → commit to the local default branch.
“Common” is measured: kept by at least 6 in 10 of the 62 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
bootstrap
Done when these scans print nothing: no template marker or {placeholder} left, and no workflow
term in the product's files.
grep -rnE 'STATUS: TEMPLATE|\{[A-Za-z][^}]*\}' docs --exclude=TEMPLATE.md --exclude-dir=changes
grep -nE '\{[A-Za-z][^}]*\}' AGENTS.md
git grep --untracked -niE 'stage [0-6]|solo developer' -- . ':!AGENTS.md' ':!.agents' ':!*TEMPLATE.md' ':!.sdlc-kit-manifest.json'New project
Fill docs/context.md (product, Lifecycle, outside consumers, hard constraints), set the stack and
check command in AGENTS.md, set docs/test-strategy.md, and write only the ADRs a first feature
cannot start without. The developer owns the Lifecycle values; propose them, never set them
silently. Describe only what exists; a plan labelled "intended" is still a plan and goes in the first change
proposal. With no code yet:
docs/architecture.mdkeeps Context and one Parts row for the scaffold; delete Data, Key flows, and Cross-cutting until code exists.docs/specs/README.mdlists areas without links until their spec exists.docs/threat-model.mdmay list trust boundaries the product will have, with control "none yet"; a baseline control stays only if code or CI enforces it today.- Write no product code; the checks need one trivial module and test.
Existing codebase
Reconstruct the same set read-only from the code. Write specs for the areas that exist, backfill
ADRs only for hard-to-reverse choices already made, and fold any existing PRDs into specs. Keep the
kit's lines in AGENTS.md as written; project facts go in its project sections. Change the
existing CI to run the check command, or every part it runs, in the same change.
Prove the checks
The check covers all the code, tests included. Fix existing failures or report them at the gate;
excluding code to get a part green is a skipped check. Plant one type error, run the check command,
see it fail at the typecheck, and revert; repeat for one failing test and one lint violation. One
plant per run, tripping only its own part. When the command chains named sub-commands
(check:api), a plant may run through the one that covers it; editor or harness diagnostics never
count. A check that fails on a clean tree is reported at the gate, not retried until it passes.
CI runs the same command. When the first PR's CI run finishes, read its log: lint, typecheck, and tests each ran, and the test count matches the local run. A part that did not run is a bug to fix.
Start the Local run command in docs/test-strategy.md and load one page or call one endpoint
through it. Whatever it cannot reach without secrets you cannot read, live data, or a shared
database goes under Not covered with where it gets checked; never route around the gap.
Gate: approve foundation
Stop with three plain lines: what is done, anything unproven or skipped and why, and which files to read. Commit nothing before approval. Then land it on the default branch:
- no remote → commit to the local default branch;
- remote with an unprotected default branch → commit and push, under the same approval;
- protected default branch → a branch and PR.
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.

