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ulpi-ioulpi-io/autonomous-engineering/auto-learn/SKILL.md

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.

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13 rules. About 0 are common, 9 are distinctive, and 4 are very specific to this project.

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    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

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    This author's own choices. Worth a look.

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    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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