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Get Started Free →Review recent conversations to find improvements for CLAUDE.md files.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -14% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -29% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -7% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 276% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -13% | 0% |
Analyze recent conversations to improve both global (~/.claude/CLAUDE.md) and local (project) CLAUDE.md files.
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 "$CONVO_DIR"/*.jsonl | head -20
Extract the 15-20 most recent conversations (excluding the current one) to a temp directory:
bashSCRATCH=/tmp/claudemd-review-$(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"
Launch parallel subagents to analyze conversations. Each agent should read:
~/.claude/CLAUDE.md./CLAUDE.md (if exists)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 Anything in either file that seems outdated or unnecessary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:
Combine results from all agents into a summary with these sections:
Present as tables or bullet points. Ask user if they want edits drafted.
Other measured skills in the registry, with their headline benchmark lift.