Turn GitHub Repo Search into an AI Skill: A Step‑by‑Step Guide
This article walks through creating an AI skill that leverages natural‑language queries to search GitHub repositories, explains how the skill parses input, applies synonym expansion and relevance filtering, and presents results in a table with stars, license and links, all demonstrated with a live example.
Overview
The github-repo-search skill enables natural‑language queries to search GitHub repositories. It tokenizes the query, expands synonyms, enriches relevance, filters low‑quality results, and clusters matches into semantic groups before presenting a concise table.
Installation
Install the skill through the AI platform’s package manager, for example: ai skill install github-repo-search After installation the command github-repo-search becomes available.
Usage
Invoke the skill with a plain‑text request:
github-repo-search
Find chart‑related projects for me, I need them to create high‑quality chartsProcessing pipeline
Tokenization and synonym expansion of the input query.
Relevance enrichment to improve matching against repository metadata.
Quality filtering to discard low‑quality repositories.
Clustering of results into eight semantic groups.
Output format
The skill returns a tabular list where each row contains:
Repository name (linked to the GitHub page).
Star count.
License identifier.
Direct URL to the repository.
Source code
GitHub repository for the skill: https://github.com/yunshu0909/yunshu_skillshub/tree/master/github-repo-search
Related project repository: https://github.com/hongyangAndroid/blog_ai
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