Agent skill · data analytics · anthropics

search

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.

Why this skill is useful

Enables parallel searching across multiple tools with specific query parsing and translation, which the AI wouldn't generate on its own.

What it needs

About 4k tokens when loaded. Last updated 2026-08-07. 23,345 stars on the source repository.

What this skill does

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: 2. Parse the User's Query Analyze the search query to understand: Intent: What is the user looking for? (a decision, a document, a person, a status update, a conversation) Entities: People, projects, teams, tools mentioned Time constraints: Recency signals ("this week", "last month", specific dates) Source hints: References to specific tools ("in ~~chat", "that email", "the doc") Filters: Extract explicit filters from the query: from: — Filter by sender/author in: — Filter by channel, folder, or location after: — Only results after this date before: — Only results before this date type: — Filter by content type (message, email, doc, thread, file) 3. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills anthropics/search

View the source on GitHub

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