tools-only Tool Reference
recent_chats.py
Retrieve recent conversation sessions with all messages.
python3 ${CLAUDE_PLUGIN_ROOT}/skills/recall-conversations/scripts/recent_chats.py --n 3
| Option | Effect |
|---|---|
--n N |
Number of sessions (1-20, default 3) |
--sort-order |
'desc' (newest first, default) or 'asc' |
--before DATE |
Sessions before this datetime (ISO) |
--after DATE |
Sessions after this datetime (ISO) |
--project NAME |
Filter by project name(s), comma-separated |
--verbose |
Include files_modified and commits |
--format |
'markdown' (default) or 'json' |
--include-notifications |
Include task notification messages (hidden by default) |
Use --verbose for lenses that need file/commit context (restore-context, review-process, run-retro).
search_conversations.py
Search for sessions containing keywords using full-text search (FTS5/FTS4/LIKE cascade).
python3 ${CLAUDE_PLUGIN_ROOT}/skills/recall-conversations/scripts/search_conversations.py --query "keyword"
| Option | Effect |
|---|---|
--query |
Required - substantive keywords |
--max-results N |
Limit results (1-10, default 5) |
--project NAME |
Filter by project name(s), comma-separated |
--verbose |
Include files_modified and commits |
--format |
'markdown' (default) or 'json' |
--include-notifications |
Include task notification messages (hidden by default) |
Output: Default markdown format (token-efficient):
## myproject | 2026-02-01 10:00
Session: abc123
### Conversation
**User:** ...
**Assistant:** ...
Use --format json when structured data is needed.