mattpocock-skills-research
Skill1 starsChanged 12 days agoMITView on GitHub
Use when evaluating upstream agent skills for adoption with unclear maturity, maintenance, or issues. Not for authoring, fixes, or repo reviews.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- vladcheck/skillsword for word, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 1
- vladcheck/skills★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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 repository19 other files it gives its agents.
- analyze-session-pingpong-logsSkill
- create-glossarySkill
- deepseek-reasoning-tier-clarifierSkill
- defineSkill
- find-alternativesSkill
- get-note-links-from-textSkill
- gitlab-eas-tickets-publishSkill
- gitlab-mr-roundtripSkill
- git-rebuild-branchSkill
- git-sequentialSkill
- gost-report-rebuildSkill
- mirea-moodle-downloadSkill
- obsidian-add-links-to-noteSkill
- opsx-spec-validateSkill
- paretto-principleSkill
- publish-spec-gitlab-milestoneSkill
- publish-tickets-gitlabSkill
- solidSkill
- update-skills-via-skills-shSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Read the relevant README files, contribution or support docs, release notes, package or plugin manifests, distribution configuration, and …
- Distinctive: line 20
Search community reports for each candidate and its relevant workflow terms:
- Distinctive: line 28
Follow the comments URL for discussion when the body does not resolve the report.
≈ “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.
Files
Research upstream skills
- Identify the upstream as
<owner>/<repo>, the candidate skill names, and the adoption question. Inspect local copies first, starting with the default~/.claude/skills/<name>/SKILL.mdand any configured runtime-specific skill roots; record differences from upstream rather than assuming local files are current. - Establish repository context and read its own documentation before interpreting directory names:
Read the relevant README files, contribution or support docs, release notes, package or plugin manifests, distribution configuration, and the candidate skill's metadata.gh repo view <owner>/<repo> --json nameWithOwner,description,defaultBranchRef,url gh api repos/<owner>/<repo>/contents --jq '.[].path' gh api repos/<owner>/<repo>/contents/<path> -H "Accept: application/vnd.github.raw+json" - Derive each skill's status from repository-specific evidence. Distinguish documented stable, beta, experimental, in-progress, deprecated, and undocumented states using docs, layout, distribution metadata, and releases together. Treat directory names and inclusion in a distributed package as signals only when that repository explains their meaning; label conflicting or missing evidence as unknown.
- Search community reports for each candidate and its relevant workflow terms:
Repeat with aliases and symptom keywords when needed. Review matching titles first, then inspect relevant issues or pull requests individually:gh search issues --repo <owner>/<repo> "<skill-name>" --limit 100 --json number,title,state,url
Follow the comments URL for discussion when the body does not resolve the report. Separate confirmed defects, limitations, questions, and already-fixed reports; do not treat search counts or absent issues as proof of adoption, quality, or stability.gh api repos/<owner>/<repo>/issues/<number> --jq '{title,state,body,html_url,comments_url}' - Compare the local and upstream evidence: declared status, distribution, maintenance activity, unresolved impact, relevance to the intended use, and local modifications. Mark stale local findings and inaccessible or ambiguous sources explicitly.
- Synthesize one concise recommendation per skill: adopt, adopt with constraints, or defer. Cite the inspected documentation and issue URLs for each material claim, state residual uncertainty, and base adoption on fitness plus corroborating evidence rather than popularity or issue absence alone.
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.

