--- name: review-claudemd description: Review recent conversations to find improvements for CLAUDE.md files. --- # Review CLAUDE.md from conversation history Analyze recent conversations to improve both global (~/.claude/CLAUDE.md) and local (project) CLAUDE.md files. ## Step 1: Find conversation history The project's conversation history is in `~/.claude/projects/`. The folder name is the project path with slashes replaced by dashes. ```bash # Find the project folder (replace / with -) PROJECT_PATH=$(pwd | sed 's|/|-|g' | sed 's|^-||') CONVO_DIR=~/.claude/projects/-${PROJECT_PATH} ls -lt "$CONVO_DIR"/*.jsonl | head -20 ``` ## Step 2: Extract recent conversations Extract the 15-20 most recent conversations (excluding the current one) to a temp directory: ```bash SCRATCH=/tmp/claudemd-review-$(date +%s) mkdir -p "$SCRATCH" for f in $(ls -t "$CONVO_DIR"/*.jsonl | head -20); do basename=$(basename "$f" .jsonl) # Skip current conversation if known cat "$f" | jq -r ' if .type == "user" then "USER: " + (.message.content // "") elif .type == "assistant" then "ASSISTANT: " + ((.message.content // []) | map(select(.type == "text") | .text) | join("\n")) else empty end ' 2>/dev/null | grep -v "^ASSISTANT: $" > "$SCRATCH/${basename}.txt" done ls -lhS "$SCRATCH" ``` ## Step 3: Spin up Sonnet subagents Launch parallel Sonnet subagents to analyze conversations. Each agent should read: - Global CLAUDE.md: `~/.claude/CLAUDE.md` - Local CLAUDE.md: `./CLAUDE.md` (if exists) - Batch of conversation files Give each agent this prompt template: ``` Read: 1. Global CLAUDE.md: ~/.claude/CLAUDE.md 2. Local CLAUDE.md: [project]/CLAUDE.md 3. Conversations: [list of files] Analyze the conversations against BOTH CLAUDE.md files. Find: 1. Instructions that exist but were violated (need reinforcement or rewording) 2. Patterns that should be added to LOCAL CLAUDE.md (project-specific) 3. Patterns that should be added to GLOBAL CLAUDE.md (applies everywhere) 4. Anything in either file that seems outdated or unnecessary Be specific. Output bullet points only. ``` Batch conversations by size: - Large (>100KB): 1-2 per agent - Medium (10-100KB): 3-5 per agent - Small (<10KB): 5-10 per agent ## Step 4: Aggregate findings Combine results from all agents into a summary with these sections: 1. **Instructions violated** - existing rules that weren't followed (need stronger wording) 2. **Suggested additions - LOCAL** - project-specific patterns 3. **Suggested additions - GLOBAL** - patterns that apply everywhere 4. **Potentially outdated** - items that may no longer be relevant Present as tables or bullet points. Ask user if they want edits drafted.