Enterprise Search

One question. Every connected tool. One synthesized answer.

Search your company's knowledge across Slack, Confluence, Jira, Linear, Notion, GitHub, and more — simultaneously, in a single query.

Before you search: check connection status

ls verified_connections.md 2>/dev/null && grep -c "^##" verified_connections.md || echo "0"

• 1+ tools connected → read verified_connections.md (capability index), then follow workflows/enterprise-search/enterprise-search.md for the search. That workflow always uses Slack + Confluence when connected, may include AI-synthesized search tools listed only in verified_connections.md (per each connection file), and adds Jira/Linear/Notion/GitHub when relevant.
• Not connected / empty → read setup.md. Your agent handles the full connection flow — credentials, SSO, verification — in one session. ~5 minutes per tool.

What you can ask

• "Search for the discussion about the database migration"
• "Find any Jira tickets related to the login timeout bug"
• "What was the decision about the API versioning approach?"
• "Is there a Confluence runbook for on-call handoffs?"
• "Who worked on the payments refactor and what did they decide?"

The search workflow handles routing, parallel execution across tools, and synthesized results. You don't need to specify which tool — the agent figures that out.