bootstrap
Skill10 starsChanged 7 days agoMITView on GitHub
Set up chamnan in this repository for the first time — build the architecture index, measure how well the code describes itself, fill in missing file comments, and record a baseline. Run once per repo.
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
- enocgit/sdlc-kittheir own version, first seen Nov 1, 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.
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 7
Do these in order. Report the numbers as you go.
- Distinctive: line 15
Read what it printed. The important line is the described percentage.
- Distinctive: line 51
Never edit files for this without asking first.
- Very specific: line 64
Create .chamnan/STATE.md with what the user is actually working on right now.
“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
Set up chamnan here
Do these in order. Report the numbers as you go; the user should see what changed, not just "done".
1. Build the index
chamnan-mapRead what it printed. The important line is the described percentage.
2. If coverage is under 70%, offer to fix it — do not just report it
First read agents from .chamnan/config.json (default true). With false the user
has switched off chamnan dispatching agents of its own: report the coverage, list the files
from chamnan-map --undocumented, and stop there — do not offer the commenter, do not
dispatch it, and do not write the comments yourself instead. chamnan-map already honours
the switch where it prints this same advice; a skill that dispatches anyway is what makes the
setting mean nothing.
A low number is not a complaint about the user, it is the single biggest lever on whether any of this works. The index is built from each file's opening comment; without them it degrades to a list of filenames, which is worth little.
Say plainly what the number means and what you can do about it, then — with the user's go-ahead —
dispatch the chamnan:commenter agent over the files that lack one (the plugin-scoped name, so a second installed plugin that also ships a commenter cannot be picked instead). That agent runs on a cheap model
because "read this file, write one line about it" does not need an expensive one; this is the
routing principle the plugin ships with, applied to its own onboarding.
Give the agent the specific file list, not the whole repo, and tell it which language to write
in — read language from .chamnan/config.json (default en). The agent writes English unless
you name something else, so this has to be passed explicitly.
Get that list from chamnan-map --undocumented, which prints every one of them, one path per
line. The names the rebuild itself prints are capped at eight and labelled "for example" — acting
on those alone fixes eight files and reports a before/after as though the gap were handled. On a
repository with forty undocumented files that leaves 80% of them untouched and unmentioned.
Mention to the user that the setting exists and that changing it is one sentence: "use Thai for the
comments" is enough, and you edit .chamnan/config.json for them. English costs fewer tokens on
every session, but that is a default worth overriding for a team that will not read English
comments — say the trade-off once and let them choose.
Then run chamnan-map again and show the before/after coverage.
Never edit files for this without asking first. It touches every undocumented file in the repo.
3. Record where things stand
chamnan-reportOn a repo with history this prints a weekly trend and marks today. On a fresh one it will say there is not enough history yet — that is correct, not a failure. Say so rather than hiding it.
4. Write the first STATE.md
Create .chamnan/STATE.md with what the user is actually working on right now. Keep it short —
this file is injected into every future session, so it is paid for repeatedly.
Write it at milestones only: a test suite passing, a commit landing, a decision being made, or the session ending. Not after every edit. A state file rewritten every few turns costs output tokens continuously and buries the one line that mattered in a history of near-identical versions.
5. Offer to keep it fresh
chamnan-map --install-git-hookOffer this, do not run it unprompted — it writes into .git/hooks/, which is the user's. It appends
to an existing hook rather than replacing it, and never fails a commit. Explain the reason rather
than the mechanism: an index that drifts out of step with the code is worse than none, because the
next session trusts it and opens the wrong file.
6. Tell the user what they got, honestly
- how many tokens the index is versus the source it indexes
- that the full detail is grepped, never read whole
- that the effect compounds: this repo gets cheaper to work in the more it is revisited, and gives back nothing on a repo touched once
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.

