name	enterprise-search
description	Search your entire company's institutional knowledge in one query — Slack, Confluence, Jira, Linear, Notion, GitHub, plus any AI or multi-source search tool listed in verified_connections.md. Follow workflows/enterprise-search. One question, every connected tool, synthesized answer in seconds. No tab switching. No copy-paste. Use when the user asks about a decision, an incident, a topic, a person, a past discussion, or anything that might be documented across work tools. Also triggers on: "find", "search for", "who worked on", "what was the decision about", "is there a doc on", "any Slack about".
source	https://github.com/zhixiangluo/10xProductivity

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.

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.

enterprise-search