Deep Skill Finder

The Problem It Solves

In open-source or community-driven AI Agent ecosystems, skill repositories (like the Meyo Community) grow rapidly. When users or developers face a new task, finding a skill that truly fits their specific requirements becomes difficult and time-consuming. Manual browsing or keyword-based filtering is inefficient and risks overlooking the optimal solution.

How It Works: Core Capabilities & Key Steps

Deep skill finder is a skill designed to automate the process of skill discovery and installation. It does not execute tasks itself but acts as a skill router. Its core is a three-step workflow:

1. Skill Retrieval: When a user describes a task (e.g., "write a Xiaohongshu post"), this skill takes that description as a query to call a backend service for intent understanding and semantic search. It recalls and ranks the most relevant skills from a large repository, presenting up to 5 candidates. The results are strictly ordered by relevance, with the #1 item being the system's recommended best match.
2. Decision & Installation: The skill displays a structured table of candidates (including name, recommendation reason) and guides the user to choose by number or name. After confirmation, it performs a local check to see if the skill is already installed, preventing duplicate downloads. If not, it calls a dedicated script to complete the download and deployment.
3. User Feedback Loop: This is a key design feature. The skill embeds feedback triggers. When a user initiates a retry or explicitly expresses dissatisfaction with any part of the process, it proactively provides a feedback link for collecting experience data to improve search quality. It also includes friendly handling for common exceptions (e.g., search timeout, installation failure), ensuring raw error messages are not exposed to users.

Applicability & Important Considerations

• Input Dependency: Retrieval effectiveness heavily relies on the specificity of the user's task description. Vague input (like "find a skill") will cause it to ask follow-up questions first. Users are advised to provide clear, natural language task descriptions.
• Localization & Environment Awareness: This skill can identify the host Agent's type (via environment variables or system prompts) and skill installation directory during setup, allowing it to adapt to different Agent runtime environments.
• Not a Universal Search: It searches within a specific, pre-connected skill repository (e.g., Meyo Community), and its coverage is limited by that repository. The quality and ranking of results depend on the backend service.
• User Agency: Following the "local first" and "installation confirmation" principles, it does not automatically install any skill. All installation actions are triggered only by explicit user instructions.