zhixiangluo/enterprise-search
> 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 "what was the decision about", "is there a doc on", "any Slack about".
npx skills add https://github.com/ZhixiangLuo/10xProductivity --skill 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.
ls verified_connections.md 2>/dev/null && grep -c "^##" verified_connections.md || echo "0"
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.setup.md. Your agent handles the full connection flow — credentials, SSO, verification — in one session. ~5 minutes per tool.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.
Take zhixiangluo/enterprise-search from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.