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search Skill

AI Agent SkillPythonOpen source

Search across all connected sources in one query. Trigger with "find that doc about...", "what did we decide on...", "where was the conversation about...", or when looking for a decision, document, or discussion that could live in chat, email, cloud storage, or a project tracker. Published by anthropics in knowledge-work-plugins.

What is search Skill?

Search across all connected sources in one query. Trigger with "find that doc about...", "what did we decide on...", "where was the conversation about...", or when looking for a decision, document, or discussion that could live in chat, email, cloud storage, or a project tracker. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Research
  • Deployment use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use search Skill

  • Use it for deployment.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/knowledge-work-plugins
  • Skill file: enterprise-search/skills/search/SKILL.md

What it does

Search across all connected sources in one query. Trigger with "find that doc about...", "what did we decide on...", "where was the conversation about...", or when looking for a decision, document, or discussion that could live in chat, email, cloud storage, or a project tracker.

Skill instructions

Search Command If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Search across all connected MCP sources in a single query. Decompose the user's question, run parallel searches, and synthesize results. Instructions 1. Check Available Sources Before searching, determine which MCP sources are available. Attempt to identify connected tools from the available tool list. Common sources: - ~~chat — chat platform tools - ~~email — email tools - ~~cloud storage — cloud storage tools - ~~project tracker — project tracking tools - ~~CRM — CRM tools - ~~knowledge base — knowledge base tools If no MCP sources are connected: To search across your tools, you'll need to connect at least one source. Check your MCP settings to add ~~chat, ~~email, ~~cloud storage, or other tools. Supported sources: ~~chat, ~~email, ~~cloud storage, ~~project tracker, ~~CRM, ~~knowledge base, and any other MCP-connected service. 2. Parse the User's Query Analyze the search

Explore related resources

Frequently asked questions

What is search?

search is a open-source AI agent skill with Copy skill directory. Search across all connected sources in one query. Trigger with "find that doc about...", "what did we decide on...", "where was the conversation about...", or when looking for a decision, document, or discussion.

Who is search best for?

search is best for reusing agent instructions, scripts, and references, deployment workflows, research workflows.

How do I install search?

Install or run search using Copy skill directory. Check search for the latest setup command.

Is search actively maintained?

search may need a closer maintenance check before production use.

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Stars
22,594
Forks
2,657
Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

Auto-fetched from GitHub.

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