explore

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)

1. Session memory — search via memsearch:memory-recall for past decisions, context, and discussions
2. Slack — uv run python -c "from reorient.slack import recent_mentions; ..." or search via slack-reader browser agent for richer context
3. Google Drive — uv run python -c "from reorient.drive import recently_viewed, recently_edited; ..."
4. Linear — uv run python -c "from reorient.linear import my_issues, team_activity; ..."
5. GitHub — gh search issues, gh search prs, gh pr view, etc.
6. Granola — query via query_granola_meetings MCP tool for meeting context
7. Watchlist — read ~/.reorient/watchlist.md for 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