claude

learning-loop

A self-improvement loop for your agent. Corrections to agent behavior and standing workflow rules become durable, evidence-counted lessons in .ai/memory/LESSONS.md through a confined atomic helper. Its startup hook reports ledger availability without injecting file-controlled text. Standalone alternative to session-memory; do not install both.

1 on GitHubby Luka Zivkovicv1.0.3MITupdated 1 month agodevelopment
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Plugin learning-loop from marketplace overclock in luka-zivkovic/overclock. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (1)

  • lessons-learned

    Record corrections to agent behavior and standing workflow rules as durable, deduplicated lessons in .ai/memory/LESSONS.md, and surface them in later sessions so mistakes are not repeated. Use when the user corrects how the agent works ("no, use Y not X", "you made this mistake before", "I already t

Hooks (1)

  • SessionStart

    python3 "${CLAUDE_PLUGIN_ROOT}/skills/lessons-learned/scripts/memory_io.py" hook --mode lessons

View source on GitHub byluka.build

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Stop losing working state. Warm resume with verified full-SHA drift anchors, durable workflow lessons, and a ledger of verified fixes share a confined, atomic memory helper. The startup hook reports parked state without injecting repository-controlled prose; writes never auto-commit.

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Experimental pull-request review kit: a repository-agnostic adversarial reviewer plus an explicit initializer that creates a source-grounded repository profile.

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