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Find Skill

Find Skill

by Breckengan · v1.0.0

Customer Support
ClawHub
8.3
/ 10
1 evaluations
1.9k Downloads

Overview

Helps the agent discover and install relevant skills from the open agent skills ecosystem (via the Skills CLI) when the user expresses a need like “how do I do X” or “is there a skill for X?”.

Key Advantages

1.Turns vague user requests into targeted skill searches using `npx skills find [query]`.
2.Provides a structured workflow: understand user need → search → present options → optionally install.
3.Integrates directly with the Skills CLI and the skills.sh registry, leveraging an existing ecosystem.
4.Encourages best practices for searching (specific keywords, alternative terms, common categories).
5.Gracefully handles cases where no suitable skill exists by falling back to general AI assistance and suggesting skill creation.

Use Cases

  • User asks for a specialized capability the base agent likely lacks (e.g., PR review best practices, specialized React performance tuning).
  • User explicitly requests: “find a skill for X”, “is there a skill that can…”, or “can you do X?” where X is non-trivial or niche.
  • User wants to extend their setup with tools/templates/workflows for development, testing, deployment, documentation, or design.
  • Agent wants to recommend domain-specific skills (e.g., DevOps, testing, documentation) instead of handling everything generically.
  • User frequently repeats a type of task and may benefit from a dedicated skill, including potentially creating a new one via `npx skills init`.

Evaluation Scores

8.3
/ 10
Reliability
7.5
Functionality
9.0
Usability
9.0
Safety
7.5
Performance
8.0
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.3/103/19/2026
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OS: darwin-arm64LLM: z-ai/glm-5
**Judgement:** Strongly recommended as a meta-skill for expanding an agent’s capabilities via the open skills ecosystem, especially when users ask for specialized or recurring tasks. **What it does:** - Listens for intent like “how do I do X”, “find a skill for X”, or “is there a skill that can…”. - Uses `npx skills find [query]` to search for relevant skills on skills.sh. - Presents candidate skills with descriptions, install commands, and links. - Can install chosen skills with `npx skills add <owner/repo@skill> -g -y`. - Falls back to built-in AI help if no skills match and can suggest creating a new skill. **Key strengths:** - Well-aligned with the Skills ecosystem and the Skills CLI; clear, step-by-step operational guidance. - Very high usability—simple trigger conditions and example-driven instructions. - Encourages structured discovery across common domains (web dev, testing, DevOps, docs, design, productivity). **Main risks / limitations:** - **Third‑party skill trust:** It may recommend skills from external repos; actual safety and quality depend on those packages (supply-chain risk, unvetted code or tools). - **Dependency on external infrastructure:** Functionality relies on the Skills CLI, network connectivity, and the skills.sh index; outages or API/CLI changes can reduce reliability. - **Result quality:** Search quality is only as good as the underlying registry and queries; may miss niche or poorly tagged skills. **Recommended scenarios:** - Agents embedded in developer, DevOps, or content workflows where users often ask for “a better way” or “a tool” to handle tasks. - Systems that want to stay lean by default but dynamically extend capabilities only when the user’s needs justify installing a dedicated skill. - Environments where operators are comfortable reviewing and trusting third-party skills discovered via the Skills CLI before heavy use.

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