Appends new entries to LESSONS-LEARNED.md via the opencastle lesson CLI, searches past lessons for matching errors, and proposes skill updates when retry patterns exceed thresholds. Use when consulting or updating LESSONS-LEARNED.md, after task failures, when capturing retrospective insights, or when a retry succeeds.
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Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Retry with a different approach and it works → document the lesson immediately. File: .opencastle/LESSONS-LEARNED.md
⛔ HARD GATE — Use the CLI. Do NOT edit LESSONS-LEARNED.md directly.
opencastle lesson --title "Short descriptive title" --category general --severity high \
--problem "What was observed" --wrong "Failing approach" --correct "Working solution" \
--why "Root cause"Required: --title, --category, --severity, --problem · Optional: --wrong, --correct, --why
After writing: if the lesson reveals a gap in a skill/instruction file, update that file too (prevents the pitfall at source).
opencastle lesson to record the working approach.tail -1 .opencastle/LESSONS-LEARNED.md — confirm entry has title, category, and severity. If malformed → re-run with corrected flags.Quick search example:
rg "missing CRON_SECRET" .opencastle/LESSONS-LEARNED.md || trueCategory and severity tables moved to LESSON-CATEGORIES.md. Use that file when tagging lessons.
Never skip reading lessons · Never fix without documenting · Never write vague entries · Never duplicate · Never defer to end of session
For expertise tracking and cross-session knowledge graphs, load the agent-memory skill.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.