lessons plugins

by Ikalus1988

Failure-memory network for AI coding agents: search evidence-rated failure lessons, submit new failures, and turn crashes into reusable knowledge.

by Yonatan Gross

Displays lesson hint cards when tool calls match known patterns. Additive surface during pilot; the classic --strict guard keeps its 12 block-severity denies.

by Victor Ryabov

Turn the current directory into a teaching workspace - a mission, curated sources, short interactive lessons, and a record of what you have actually learned

by Joe Black

Automatic mistake capture and proactive lesson injection for AI coding agents. Mines conversation logs for mistake patterns, structures them as indexed lessons, and injects relevant warnings before the agent repeats the mistake.

by paulkim-lansik

Core loop mechanics: verdict-run (machine-readable PASS/FAIL contract), loop-fix (closed verify->fix loop), lessons (verified-fix memory), classify-risk, require-tests, check-docs-hygiene/check-pr-hygiene/check-module-size (repo hygiene gates). verifier=ceiling — the agent's self-judgement never substitutes for it.

by paulkim-lansik

pgvector semantic recall for verified dev-loop lessons (and, optionally, ADR/glossary/research knowledge). Opt-in: installs disabled by default — this is a database dependency, not core loop mechanics.

by Ikalus1988

Failure-memory network for AI coding agents: search evidence-rated failure lessons, submit new failures, and turn crashes into reusable knowledge.