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Search Strategy

Official
anthropics·vlatest·other·Apache-2.0

Dynamically adjusts search methods to efficiently locate relevant information based on query complexity and data characteristics.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/knowledge-work-plugins --skill search-strategy -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/knowledge-work-plugins at da38ec1ee8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
da38ec1ee8
Manifest
enterprise-search/skills/search-strategy/SKILL.md
Scanned
1 file, 195 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The search-strategy skill enables AI agents to autonomously formulate and execute multi-step search plans. It breaks down complex queries into logical sub-queries, manages context across different information sources, and synthesizes findings into a coherent final answer.

When to use it

  • Resolving ambiguous or broad questions that require narrowing down specific topics before searching.
  • Tackling research tasks involving multiple distinct domains or conflicting data points.
  • Gathering comprehensive background information needed for high-level decision-making.
  • Verifying facts by cross-referencing results from various search engines or knowledge bases.

Key capabilities

  • Query Decomposition: Automatically splits complex user requests into smaller, actionable sub-queries.
  • Context Management: Maintains a running summary of findings to ensure subsequent searches remain relevant.
  • Iterative Refinement: Dynamically adjusts search terms based on initial results to improve accuracy.
  • Synthesis: Combines disparate pieces of information from multiple sources into a unified response.

Example prompts

  • "Research the latest advancements in solid-state batteries and compare their safety profiles against current lithium-ion technology."
  • "Find out what caused the recent supply chain disruptions in the semiconductor industry and how major manufacturers are responding."
  • "Investigate the pros and cons of remote work policies for software engineering teams, citing recent studies from 2023 and 2024."

Tips & gotchas

This skill is most effective when the initial query is open-ended; avoid using it for simple fact retrieval where a direct search would suffice. Ensure your AI agent has access to multiple search tools or knowledge sources to fully leverage its ability to cross-reference information.