| name | co-growth-learning-capture |
| description | Growth learning capture and knowledge persistence skill. Records experiment
insights, edge cases, and growth playbook updates from completed tasks.
Use when FINISHING a growth task, discovering a growth pitfall,
resolving an analysis error, or updating Gotchas for future sessions.
|
Learning Capture
Growth learnings, experiment insights, and Gotchas maintenance.
Use This Skill When
- Completing a growth task and recording lessons learned.
- Discovering a growth pitfall or experiment edge case.
- Resolving an analysis error that others should avoid.
- Updating Gotchas in related co-growth skills.
Workflow
- Identify learning event (incorrect assumption, adjusted boundary, statistical pitfall, unexpected behavior).
- Structure: WHAT (situation) → WHY (impact) → HOW (prevention) → WHERE (target skill).
- Generate 1–2 line Gotcha entry with specific thresholds or criteria. Avoid generic advice.
- Update target skill's Gotchas section.
- Record in
logs/learnings-log.jsonl.
Deliverables
- Updated Gotchas in target skill's SKILL.md.
logs/learnings-log.jsonl: timestamped learning record.
Quality Gates
If any gate fails: identify the issue, fix, and re-validate.
CI Validation
Run python coreclaw-skills-hub/.github/scripts/validate_skill.py <skill-dir> after updates.
Gotchas
- Record learnings immediately after discovery. Details fade quickly after session ends.
- Generic advice ("test more") has no value. Write project-specific, concrete findings.
- Gotchas exceeding 10 items in a single skill should be categorized or split.
Validation Loop
- Generate Gotcha entry
- Check: specific and actionable, no duplicates, skill stays under 60 lines
- If any check fails → revise entry
- Execute update after validation passes