github▌

Real-time discovery and analysis of GitHub trending repositories, developers, and technology trends. \n \n Tracks trending projects across languages, timeframes (daily/weekly/monthly), and categories; identifies viral, steady-growth, and niche projects worth monitoring \n Analyzes projects using metrics like star velocity, contributor activity, documentation quality, and community responsiveness to distinguish hype from genuine value \n Covers emerging tech domains including AI/LLM tooling, Rust

Comprehensive GitHub repository analysis through multi-round research combining API data, web search, and structured reporting. \n \n Executes four research rounds: GitHub API extraction, discovery searches, deep investigation with web fetching, and timeline analysis from commits and issues \n Produces structured markdown reports with executive summaries, chronological timelines, metrics tables, and Mermaid diagrams for architecture and comparisons \n Implements source prioritization (official d

Guides GitHub for parasite SEO, GEO (AI citation), and curated list creation. GitHub is a Tier 2 Technical Authority platform—high domain authority, fast indexing, very high AI citation probability. Use for repos, README, GitHub Pages, gists, and Awesome-style navigation lists.

AI-assisted automation for GitHub workflows including PR reviews, issue triage, CI/CD integration, and Git operations. \n \n Automated PR reviews with diff analysis, issue detection, and formatted feedback comments \n Issue triage with AI classification, auto-labeling, severity assessment, and stale issue management \n Smart test selection and deployment validation based on changed files and risk analysis \n Git operations including automated rebasing, conflict resolution, cherry-pick assistance

Read and search GitHub repository documentation through the gitmcp.io MCP service. \n \n Converts GitHub URLs to gitmcp.io endpoints and provides CLI access via scripts/gitmcp.py for fetching docs, searching documentation semantically, and searching code via GitHub API \n Four core tools available per repository: fetch full documentation, semantic search within docs, exact-match code search, and fetch external URLs referenced in documentation \n Tool names are dynamically generated and prefixed

Automated GitHub pull request creation from specification templates with draft-to-review workflow. \n \n Reads pull request template from .github/pull_request_template.md and extracts requirements to populate PR body and title \n Checks for existing pull requests on the target branch before creation to prevent duplicates \n Progresses pull requests from draft status to ready for review, then auto-assigns to the creator \n Analyzes PR diffs to ensure specification changes are properly documented

Create GitHub issues from specification files using the feature_request.yml template. \n \n Analyzes specification files to extract requirements and automatically generates issue titles and descriptions \n Searches existing issues to prevent duplicates before creating new ones \n Supports both creating new issues and updating existing ones via the GitHub API \n Applies feature and enhancement labels automatically based on specification content \n

Scrape and display GitHub trending repositories with language and time-period filtering. \n \n Provides two approaches: direct web scraping of github.com/trending using Cheerio, or GitHub Search API as an official alternative \n Extracts repository metadata including owner, name, description, programming language, star count, forks, and stars gained in the selected period \n Supports filtering by programming language and time range (daily, weekly, monthly) \n Includes ready-to-use Next.js API ro

Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository.

Generates production-ready GitHub Copilot configuration files tailored to your project's technology stack. \n \n Gathers project information (language, framework, tech stack, development style) and creates a complete .github/ directory structure with instructions, skills, and agents \n Generates language-specific instruction files, testing standards, security guidelines, and code review practices with attribution to awesome-copilot patterns where applicable \n Creates six reusable skills (compon