Agent skill

Enterprise Search

by ZhixiangLuo in ZhixiangLuo/10xProductivity

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 verifiedconnections.md.

MITAuto-check passedKnowledge Management

Install Enterprise Search

skills CLI
$ npx skills add ZhixiangLuo/10xProductivity --skill enterprise-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZhixiangLuo/10xProductivity enterprise-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/enterprise-search .claude/skills/enterprise-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
enterprise-search
GitHub stars
479
Token cost
~535 tokens
SKILL.md length
169 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

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 verifiedconnections.md.

  • The user asks about a decision
  • SKILL.md covers Before you search: check… and What you can ask
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A past discussion

What it does

Enterprise Search is an agent skill from ZhixiangLuo/10xProductivity. 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 verifiedconnections.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"…

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Knowledge bases. It works with Slack, Confluence, Jira and GitHub. The repository describes itself as: Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have. The licence is MIT.

When your agent uses it

  • The user asks about a decision
  • A past discussion
  • Anything that might be documented across work tools
  • What was the decision about

Example prompts

  • “search for”
  • “who worked on”
  • “what was the decision about”
  • “/enterprise-search”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a7da40. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Enterprise Search loads about 535 tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 169 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~155
When it runs · the whole SKILL.md, loaded when a task matches
~535

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZhixiangLuo/10xProductivity at commit 9a7da40, republished under its MIT licence (© ZhixiangLuo). 169 words, ~535 tokens.

Download SKILL.mdSave it as .claude/skills/enterprise-search/SKILL.md (or your agent's skills folder).
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

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.

© ZhixiangLuo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .cursor/skills/enterprise-search of ZhixiangLuo/10xProductivity.

Open the folder on GitHubat commit 9a7da40

Compare with similar skills

Enterprise Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Enterprise Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Enterprise Search this skillZhixiangLuo/10xProductivity479—~535Automated safety check: PassMIT
Kb Refreshtechwolf-ai/ai-first-toolkit132—~1.3kAutomated safety check: PassMIT
AirweaveCraftOS-dev/CraftBot392—~1.1kAutomated safety check: PassMIT
Confluence Expertalirezarezvani/claude-skills28k1 repos~3.1kAutomated safety check: PassMIT
Confluence Expertborghei/Claude-Skills891—~1.2kAutomated safety check: PassMIT
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone

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  • Kb Refresh

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Questions about Enterprise Search

What does Enterprise Search do?

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 verifiedconnections.md. Enterprise Search is an agent skill from ZhixiangLuo/10xProductivity.md.

When should I use Enterprise Search?

Enterprise Search fits situations like: the user asks about a decision; A past discussion; anything that might be documented across work tools; what was the decision about.

How do I install Enterprise Search in Claude Code?

Run `npx skills add ZhixiangLuo/10xProductivity --skill enterprise-search -a claude-code`. Or copy the skill folder (.cursor/skills/enterprise-search in ZhixiangLuo/10xProductivity) into .claude/skills/enterprise-search in your project. Claude Code loads it when a task matches its description.

How do I install Enterprise Search in Codex?

Run `npx skills add ZhixiangLuo/10xProductivity --skill enterprise-search -a codex`. Or copy the skill folder (.cursor/skills/enterprise-search in ZhixiangLuo/10xProductivity) into .agents/skills/enterprise-search in your project. Codex loads it when a task matches its description.

Can I use Enterprise Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZhixiangLuo/10xProductivity --skill enterprise-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enterprise-search, .gemini/skills/enterprise-search, .github/skills/enterprise-search and .opencode/skills/enterprise-search in your project.

What does Enterprise Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Enterprise Search is instructions for the agent only.

Does Enterprise Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Enterprise Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Enterprise Search use?

Enterprise Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Enterprise Search use?

About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Enterprise Search?

Skills that share tags, products or a category with Enterprise Search: Kb Refresh (techwolf-ai/ai-first-toolkit, 132 stars), Airweave (CraftOS-dev/CraftBot, 392 stars), Confluence Expert (alirezarezvani/claude-skills, 28k stars) and Confluence Expert (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enterprise Search?

ZhixiangLuo (a GitHub user) maintains it in ZhixiangLuo/10xProductivity, which has 479 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 13, 2026.

Source: ZhixiangLuo/10xProductivity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.