Analyze GitHub repositories, fetch files, compare codebases, and discover trending projects via GitHub CLI.
npx skills add https://github.com/tenequm/claude-plugins --skill gh-cli
Please help me install this Agent Skill. Skill: gh-cli Source: https://github.com/tenequm/claude-plugins/tree/main/gh-cli/skill Command: npx skills add https://github.com/tenequm/claude-plugins --skill gh-cli
Manually cloning repositories to inspect files, compare codebases, or find trending projects is inefficient. This Skill leverages the GitHub CLI to perform remote analysis and discovery, saving time and local disk space.
package.json and src/index.ts of owner/repo-A and owner/repo-B to see their main differences."Fetch the README.md file from the cli/cli GitHub repository and display its content.
High-intent search queries and answers about installing and using this skill.
Remote repository analysis fetches specific files and directory contents directly via GitHub CLI and API calls, eliminating the need to clone. Use `gh api` commands to query repository contents, decode base64-encoded file data, and inspect files instantly without consuming local disk space.
Yes, codebase comparison systematically fetches corresponding files from multiple repositories using GitHub CLI, then parses and compares their content with tools like jq. This identifies similarities, differences, and unique features across repos without cloning either one.
Trending content discovery uses GitHub CLI search commands filtered by stars, forks, language, topic, and recency to surface popular repositories. Query results return structured JSON that you can parse to identify common code patterns and emerging projects relevant to your interests.
Use GitHub CLI `gh api repos/OWNER/REPO/contents/PATH` to fetch file metadata and base64-encoded content. Decode the content and parse with standard tools to extract and display the file without needing a full repository clone.
No, remote API calls and structured JSON parsing eliminate cloning entirely. GitHub CLI combined with jq filtering supports complete file inspection, directory listing, and codebase comparison workflows entirely over HTTP, making analysis faster and lighter.
Remote analysis supports any file format accessible via GitHub API—JSON, YAML, Markdown, source code, and binary files. API responses return base64-encoded content and metadata; jq parses JSON-structured results for filtering, comparison, and pattern discovery across multiple repositories.
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