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search_skills

Search a registry of 20,000+ AI agent skills by keyword to find matching skills with details like quality, security, and install commands.

Instructions

Search the Loaditout registry of 20,000+ AI agent skills by keyword. Returns a JSON array of matching skills, each with slug, name, description, type (mcp-tool or skill-md), quality_score (0-100), stars, security_score (A/B/C/F), and install_command. Use this for broad discovery when you do not know the exact skill slug. Do not use this if you already know the slug (use get_skill instead). Prefer smart_search over this tool for personalized results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query describing what you need. Examples: 'postgres database', 'browser automation', 'github issues', 'stripe payments'. Keep queries short (1-4 words) for best results.
typeNoFilter results to a specific skill type. 'mcp-tool' for structured tool servers, 'skill-md' for behavioral instruction files, 'hybrid' for both. Omit to search all types.
agentNoFilter results to skills compatible with a specific agent platform. Omit to search all platforms.
limitNoMaximum number of results to return. Default: 10. Maximum: 25. Use a smaller limit (3-5) for quick lookups, larger (15-25) for comprehensive browsing.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses the returned JSON format with fields, implying read-only behavior. However, it does not mention edge cases like empty results, rate limits, or authentication, but these are minor for a search tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is mostly concise (two sentences) but the first sentence is dense, combining purpose and output format. It is front-loaded with the main action but could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately describes the output with specific fields. It also provides usage guidance and scope. Minor gaps: no mention of error handling or pagination beyond the limit parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and schema descriptions are already detailed. The tool description does not add significant meaning beyond the schema—it mostly restates output format rather than parameter behavior. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches a registry of 20,000+ skills by keyword, and distinguishes itself from siblings by specifying when to use alternative tools (get_skill for known slugs, smart_search for personalized results).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises when to use (broad discovery, unknown slug) and when not to use (known slug → get_skill), and recommends smart_search for personalized results, providing clear decision guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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