---
name: enterprise-search-f45633f1a2b1
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

```bash
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.


---
Source attribution: ZhixiangLuo
Original project: https://github.com/ZhixiangLuo/10xProductivity/blob/9a7da40bc798e4e3fe91b10770cf0fcc13cf0886/.cursor/skills/enterprise-search/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 10xProductivity Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ZhixiangLuo
Original project: https://github.com/ZhixiangLuo/10xProductivity/blob/9a7da40bc798e4e3fe91b10770cf0fcc13cf0886/.cursor/skills/enterprise-search/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Operations, Project & Program Management, Sales
Roles: Business Process Analyst, Customer Success Manager, Data Analyst, Operations Manager, Project Manager
Specialties: API
Tools: Confluence, GitHub, Jira, Linear, Notion, Slack
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 26b2d0cf4b4be951df843f79f8b2b30483c9f3ee273a93e594c249429422b389