the logs of past sessions in this repository are stored in `~/.claude/projects/` under the `pwd` of this project. determine the correct folder, then list the jsonl files within.

## Log Analysis Strategy

1. **Use ripgrep (rg) for fast searching** across all log files:
   ```bash
   rg "pattern" ~/.claude/projects/-Users-ben-code-labs/*.jsonl
   ```

2. **Log file structure**: Each line is a JSON object with:
   - `message.content`: Main content (string or array of objects)
   - `type`: "user" or "assistant" 
   - `timestamp`: ISO timestamp
   - `uuid`: Unique message ID
   - `parentUuid`: Links to previous message

3. **Effective search patterns**:
   - For keywords: `rg -i "keyword1|keyword2" logs/*.jsonl`
   - For conversation flow: Use `jq` to follow parentUuid chains
   - For time ranges: `rg "2025-07-21" logs/*.jsonl`
   - For tool usage: `rg "tool_use.*ToolName" logs/*.jsonl`

4. **Find distraction patterns**:
   - Look for TodoWrite usage showing task switches
   - Search for "interrupt", "Request interrupted", or scope changes
   - Find where assistant mentions getting confused or changing direction
   - Check for long Task tool usage that might indicate research tangents

5. **Analyze conversation flow**:
   - Sample log format first with `head -2 file.jsonl | jq .`
   - Use `jq` to extract message content: `jq '.message.content' file.jsonl`
   - Look for thinking content: `jq 'select(.message.content[0].type == "thinking")' file.jsonl`

6. **Common analysis queries**:
   ```bash
   # Find all TodoWrite usage
   rg "TodoWrite" logs/*.jsonl | head -10
   
   # Find task interruptions
   rg "interrupt|distract|confused|forgot" logs/*.jsonl
   
   # Find specific feature work
   rg "ct-list|context.menu" logs/*.jsonl
   
   # Extract conversation summary
   jq -r '.message.content | if type == "string" then . else .[0].text // "" end' file.jsonl | head -20
   ```

The user has asked you to search for: $ARGUMENTS