skill-improver
Skill337 starsChanged 10 months agoMITView on GitHub
Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits.
19 other projects use a version of this.
Adopted by
Most recently taken up by
- svg153/skillstheir own version, first seen Nov 1, 2026
- davidanthonyn/claude-skillstheir own version, first seen Oct 20, 2026
- air-gapped/skillstheir own version, first seen Oct 19, 2026
- juandelossantos/another-agent-skillstheir own version, first seen Oct 17, 2026
- AlvaroVFon/skillstheir own version, first seen Oct 13, 2026
- ilamanov/skillstheir own version, first seen Oct 13, 2026
Other versions19 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 19
- Galaxy-Dawn/claude-scholar★ 5.9ksame name
- fjrevoredo/mini-diarium★ 318same name
- ribeirogab/zeno-agent★ 9same name
- air-gapped/skills★ 6same name
- exiao/meta-skills★ 4same name
- AlvaroVFon/skills★ 2same name
- karozi/awesome-product-management-skills★ 2same name
- LiozShor/claude-code-skills★ 2same name
- prPMDev/my-portfolio-kit★ 2same name
- BenSchZA/skills★ 1same name
9 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 repository40 other files it gives its agents.
- review-clean-codeSkill
- review-doc-consistencySkill
- review-merge-readinessSkill
- workflow-execute-plansSkill
- workflow-template-extractorSkill
- workflow-template-seederSkill
- cloudflareSkill
- deep-researchSkill
- mcp-cloudflareSkill
- mcp-stripeSkill
- mcp-supabaseSkill
- publish-x-articleSkill
- review-clean-codeSkill
- review-doc-consistencySkill
- review-merge-readinessSkill
- review-qualitySkill
- review-react-best-practicesSkill
- review-seo-auditSkill
- skill-creatorSkill
- skill-evolutionSkill
- stripeSkill
- supabaseSkill
- tool-ast-grep-rulesSkill
- tool-better-authSkill
- tool-design-style-selectorSkill
- tool-hooks-doctorSkill
- tool-openclawSkill
- tool-programmatic-seoSkill
- tool-schema-markupSkill
- tool-systematic-debuggingSkill
- tool-ui-ux-pro-maxSkill
- tool-x-article-publisherSkill
- workflow-brainstormSkill
- workflow-creatorSkill
- workflow-execute-plansSkill
- workflow-feature-shipperSkill
- workflow-project-intakeSkill
- workflow-ship-fasterSkill
- workflow-template-extractorSkill
- workflow-template-seederSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 19 edited versions we read keep these.
0
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
- Very specific: line 21
Read logs/state.json and logs/events.jsonl, extract:
“Common” is measured: kept by at least 6 in 10 of the 19 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
Skill Improver
Retrospect and improve Skills/Workflows based on real execution artifacts, making the skill chain more stable with use.
Input (pass path only)
run_dir:runs/<workflow>/active/<run_id>/(oropenspec/changes/<change-id>/)
Output
improvements.md: Improvement suggestions (can be directly converted to change tasks)- Optional: Minimal patch to relevant
SKILL.md(only change what's necessary)
Process
- Read
logs/state.jsonandlogs/events.jsonl, extract:- Failure points (error types, frequency, missing context)
- Time bottlenecks (repetitive steps, ineffective searches, excessive context)
- Manual confirmation points (whether too early/too late/missing)
- Check artifact contracts:
- Whether each step has persisted output
- Whether only paths are passed instead of content
- Whether there are inconsistent naming/paths
- Output improvement suggestions (sorted by benefit):
- Prompt/trigger word optimization
- I/O contract completion (add required fields, fix artifact file names)
- Error handling and rejection strategies
- Suggest new deterministic scripts (only when necessary)
Output Template (recommended)
- Overview: Core issues from this run
- Top Issues (high → low): Each includes "symptom/root cause/fix suggestion/related skill/suggested change point"
- Suggested Minimal Change List: Listed by file
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.

