/replay-learnings
Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".
One skill from pro-workflow.
shell
$ npx -y skills add rohitg00/pro-workflow --skill replay-learnings --agent claude-codeInstalls just this skill. Get the whole plugin for auto-invocation.
How it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/replay-learnings
Context preview
The summary Claude sees to decide when to auto-load this skill.
Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".
Stats
Stars2,638
Forks255
LanguageJavaScript
SKILL.md
replay-learnings.SKILL.md
--- name: replay-learnings description: Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about". --- # Replay Learnings Like muscle memory for your coding sessions. Find and surface relevant learnings before you start working. ## Trigger Use when starting a new task, saying "what do I know about", "before I start", "replay", or "remind me about". ## Workflow 1. Extract keywords from the task description (e.g. "auth refactor" → `auth`, `middleware`, `refactor`). 2. Search learnings/memory for matching patterns: ```bash grep -i "auth\|middleware" .claude/LEARNED.md 2>/dev/null grep -i "auth\|middleware" .claude/learning-log.md 2>/dev/null grep -A2 "\[LEARN\]" CLAUDE.md | grep -i "auth\|middleware" ``` 3. Check session history for similar work — what was the correction rate? 4. Surface the top learnings ranked by relevance. 5. If no learnings found, suggest starting with the scout agent to explore first. ## Output ``` REPLAY BRIEFING: <task> =======================
