docgen
Skill1 starsChanged 31 days agoMITView on GitHub
Instructions for drafting documentation or session notes with separately configured model backends. Confirm the selected local and cloud endpoints, data handling and costs before invocation. Use for documentation and session summaries; not for prompt-prefix analysis.
5 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- AsiaOstrich/EngramGraphtheir own version, first seen Nov 8, 2026
- AsiaOstrich/universal-dev-standardstheir own version, first seen Nov 1, 2026
- prsolans/claude-skillstheir own version, first seen Oct 15, 2026
- zedarvates/botte-secreteedited, first seen Aug 8, 2026
- jnerytech/specdtheir own version, first seen Jul 28, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/botte-secrete★ 262% same
Wrote their own version · 4
- AsiaOstrich/universal-dev-standards★ 84same name
- AsiaOstrich/EngramGraph★ 4same name
- jnerytech/specd★ 0same name
- prsolans/claude-skills★ 0same name
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 repository114 other files it gives its agents.
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- auto-distillSkill
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- benchSkill
- bootstrapSkill
- botte-learnSkill
- botte-nnSkill
- botte-proxySkill
- botte-wrapSkill
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- call-chainsSkill
- capabilitiesSkill
- cardinalSkill
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- clarificationSkill
- clusterSkill
- code-complexitySkill
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- code-fingerprintSkill
- code-rulesSkill
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- comfyuiSkill
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- conductorSkill
- context-budgetSkill
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- context-slicerSkill
- context-windowsSkill
- control-loopSkill
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- dag-optimizerSkill
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- demoSkill
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- The first 60 shown.
The file
Files
docgen — local-drafted docs (cloud-refined) + session review
Package scope and prerequisites
This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.
Documentation is verbose, so the LOCAL model writes the first draft and the cloud
model is spent only on a final polish — the video's "pre-write local, correct
with cloud" pattern, built on [[auto-router]]'s draft_refine fusion.
python -m skills.docgen.cli draft "deploy the service" --kind guide
python -m skills.docgen.cli draft "auth module" --kind module
python -m skills.docgen.cli session ~/.claude/projects/.../transcript.jsonl
python -m skills.docgen.cli session "user: did X\nassistant: built Y" --text- draft — local model drafts (
readme|module|changelog|guide|adr); cloud refines only if a key is set (otherwise you keep the local draft, marked un-refined). Verify backend choice, configured forwarding and provider usage. - session — reads a transcript (Claude Code
.jsonl, markdown, or raw text) and a configured model may returndone / decisions / learnings / next. Measure the actual call.
Exposed via [[llm-mcp]] as draft_doc and session_review. Pairs with
[[ingest]] (pull sources to document) and [[checkup]] (what changed this session).
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
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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.

