code-commenter
Skill2 starsChanged 4 days agoNo licenceView on GitHub
Use this skill whenever the user wants to add comments, docstrings, or inline documentation to code. Trigger when the user says things like "add comments to this code", "document this function", "explain this code with comments", "add docstrings", "comment this", "make this code self-explanatory", "add inline comments", "document why this works the way it does", "help a new developer understand this", "annotate this code", or pastes code and asks for it to be documented or explained through comments. Also trigger when the user shares a file, module, class, or function and wants the reasoning, decisions, and intent made visible through human-voice commentary. This skill does not rewrite code. It illuminates it. Every comment written sounds like a thoughtful senior engineer speaking to the next developer who will read this — explaining not just what the code does, but why it does it that way, what was considered and rejected, and what the next person must not break.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- SaehwanPark/agent-skills-archivetheir own version, first seen Nov 8, 2026
- sebas8824/sdd-harnesstheir own version, first seen Aug 24, 2026
- loskyertt/agent_skillstheir own version, first seen May 26, 2026
- Helg-git/claude-skillstheir own version, first seen Jan 25, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- Helg-git/claude-skills★ 1same name
- SaehwanPark/agent-skills-archive★ 1same name
- sebas8824/sdd-harness★ 1same name
- loskyertt/agent_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 repository11 other files it gives its agents.
- ai-code-reviewerSkill
- application-log-readerSkill
- audit-and-remediateSkill
- brainstorming-colleagueSkill
- content-research-writerSkill
- cto-digital-assistantSkill
- design-system-architectSkill
- fintech-product-manager-developer-ticket-creatorSkill
- senior-aiml-engineering-assistantSkill
- senior-qa-engineerSkill
- staff-engineer-production-reviewSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
16 rules. About 0 are common, 15 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈15
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether 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.

