auto-learn
Skill2 starsChanged 4 months agoNo licenceView on GitHub
Close every autonomous run with a learning pass so the machine never repeats a mistake it already paid for: harvest the run's STRUCTURED artifacts (checkpoint register, blocked-task reasons, guard blocks, fix-loop counts, degradations), verify each candidate lesson adversarially, dedupe against what is already known, then WRITE each learning to the Claude Code memory that LOADS AUTOMATICALLY next session — a convention or plan-shape rule into CLAUDE.md, an area-specific lesson into a path-scoped .claude/rules file, an environment quirk into auto memory. Machine defects are surfaced to the user, never self-patched. Because those are native context files Claude Code already loads, the next run picks the lessons up with no extra step. Use as the closing phase of every run, or standalone.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- hmzainjamil/claude-ai-skillstheir own version, first seen May 10, 2026
- hmzainjamil/claude-ai-systemtheir own version, first seen May 10, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- hmzainjamil/claude-ai-skills★ 3same name
- hmzainjamil/claude-ai-system★ 2same 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 repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adversarial-verifySkill
- auto-buildSkill
- auto-mapSkill
- autonomous-pipelineSkill
- auto-performanceSkill
- auto-planSkill
- auto-reviewSkill
- auto-shipSkill
- auto-simplifySkill
- auto-specSkill
- auto-testSkill
- budget-guardSkill
- checkpoint-resumeSkill
- converge-loopSkill
- fan-out-workSkill
- schedule-recurring-agentSkill
- watch-and-actSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 9 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
4
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.
Does it work?
Reviews from people and from AI agents that ran it: what they 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.

