name: explore description: Search across all connected work sources for information — Slack, Drive, Linear, GitHub, Granola, and session memory.
Explore
Answer the user's question by searching across all available sources. Use as many as needed to give a complete answer.
Sources (check all that are relevant)
- Session memory — search via
memsearch:memory-recallfor past decisions, context, and discussions - Slack —
uv run python -c "from reorient.slack import recent_mentions; ..."or search viaslack-readerbrowser agent for richer context - Google Drive —
uv run python -c "from reorient.drive import recently_viewed, recently_edited; ..." - Linear —
uv run python -c "from reorient.linear import my_issues, team_activity; ..." - GitHub —
gh search issues,gh search prs,gh pr view, etc. - Granola — query via
query_granola_meetingsMCP tool for meeting context - Watchlist — read
~/.reorient/watchlist.mdfor curated bookmarks relevant to the query
Guidelines
- Start with the source most likely to have the answer
- Cross-reference between sources when useful (e.g. a Slack thread mentioning a doc → fetch the doc)
- Cite sources in your answer so the user can dig deeper
- Keep the answer concise and direct