GitHub plugins

A structured engineering workflow system that guides developers through the full lifecycle of building software: grilling ideas, designing interfaces, writing specs, planning work, implementing with TDD, reviewing code, debugging, and refactoring — all with opinionated, plug-and-play skills that replace vibe coding with disciplined process.

Generate comprehensive documentation, code explanations, and tutorials from existing codebases, with automated doc generation via CI/CD and integrated AI-powered code review for quality and security.

Triage GitHub issues and external PRs through a structured state machine: categorize by type, verify completeness, escalate for additional info if needed, and produce concise briefs ready for agent-driven development.

Analyze code for smells, SOLID violations, and technical debt; generate prioritized refactoring plans and automate legacy codebase modernization with context-aware restoration and AI-powered code review.

Automated multi-agent code review for GitHub pull requests with confidence-based scoring, checking for bugs, compliance with project guidelines, historical context, and past feedback.

Enforces strict TDD red-green-refactor cycles with automated test generation, minimal code implementation, safe refactoring, and AI-powered code review to maintain code quality and test coverage.

Automate PR creation, code review, and description generation with AI-powered analysis, static analysis, and security scanning. Generate onboarding playbooks for new team members.

Automate GitHub issue resolution with root cause analysis and PR creation, generate daily standup notes from git, Jira, and Obsidian, and optimize development workflows and tooling.

Create, review, and manage GitHub issues, pull requests, repositories, and code directly from Claude Code using GitHub's full API.

Orchestrate a full autonomous engineering pipeline from planning through PR creation, with multi-agent code review, browser testing, documentation management, and design verification against Figma.

Automate operations across Airtable, GitHub, Google Sheets, Notion, Slack, Make, Zapier, and n8n via Composio's MCP toolkit, with guidance on building custom MCP servers and durable workflow execution patterns.

Automate OSS maintenance workflows including changelog generation, conventional commits, branch naming, PR creation, code review, and documentation templates following Sentry engineering practices.

Automate GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning, including security guidance for untrusted content

Automates multi-agent AI code reviews for GitHub pull requests, analyzing security, performance, style, architecture, and accessibility across every PR.

Orchestrate multi-repository development across GitHub organizations with AI swarm coordination for package synchronization, architecture optimization, and automated cross-repo workflows.

Orchestrates GitHub release pipelines with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Translates Figma designs into code, deploys to Cloudflare/Netlify/Vercel/Render, performs security reviews, processes PDFs and audio, and manages projects in Notion and Linear—all as Claude Code skills.

Manage GitHub issues directly from Claude Code: create bug reports, feature requests, and tasks; update existing issues; add labels, assignees, and milestones; set issue types, priorities, custom fields, and dependencies; manage blocking relationships and workflow transitions.

Review and resolve AI-powered code review comments on GitHub and GitLab pull requests directly from Claude Code using Greptile's API.

Multi-LLM orchestration that automates the full development lifecycle — research, design, code review, testing, security auditing, and documentation — by routing tasks across multiple AI providers (Gemini, Codex, Ollama, Copilot) with structured workflows and quality gates.

Audit and optimize GitHub Codespaces for faster startup times, lower costs, and efficient resource usage by analyzing devcontainer configurations, machine sizing, idle timeout settings, and prebuild scoping to only active branches.

Analyze AWS infrastructure costs from Terraform IaC files and live resources, then generate GitHub issues with actionable optimization recommendations

Perform an AWS Well-Architected Framework review of your infrastructure as code and architecture, identify risks and best practice violations across the six pillars, and automatically create GitHub issues to track remediation.

A 145-skill bundle automating CRM, marketing, project management, file operations, social media, design, documentation, and development workflows via Composio/Rube MCP integrations, plus specialized skills for AI agent coordination, code analysis, and media processing.

Conduct end-to-end academic research with AI/ML: literature discovery from arXiv/Zotero, paper ingestion into an Obsidian knowledge base, experimental analysis with statistical rigor, publication-ready figure/writing/rebuttal generation, and knowledge management across sessions.

Generates personalized coding tutorials from your own project code, then tests your knowledge with spaced-repetition quizzes. Optionally syncs tutorial files to a private GitHub repository.

Bulk-migrate GitHub repo labels and Project V2 field values into org-level issue fields. Enables transfer of existing metadata when adopting structured issue fields.

Automatically create GitHub issues for feature requests by analyzing specification files, checking for existing issues, and creating or updating issues using templates.

Analyze Azure resources and Terraform IaC files for cost optimization opportunities, automatically creating GitHub issues for each recommendation and an EPIC to track overall progress.

Convert implementation plan phases into structured GitHub issues using feature_request or chore_request templates, creating one issue per phase with consistent titles and descriptions.

Automatically create GitHub Issues for unimplemented specification requirements, checking existing code and issues to prevent duplicates.

Configure and manage GitHub secret scanning: enable push protection, define custom patterns, triage alerts, and resolve blocked pushes.

Orchestrate multi-agent development workflows with skills for collaborative design, autonomous coding via OpenAI, multi-agent research, GitHub issue fixing and PR review, image generation, session handoffs, and browser automation via Chrome DevTools.

Ask questions about your codebase's structure, patterns, and content — Repomix packs local or remote repositories so you can query the generated output for insights.

Automates the full PRP (Plan, Review, PR) development workflow: from product requirements and implementation plans to autonomous build loops that ship features end-to-end, with integrated code review, debugging, and git operations.

Develop, debug, publish, and maintain Obsidian plugins with full lifecycle support — from scaffolding and CI/CD to performance optimization, security hardening, and vault management.

Manage the full lifecycle of CodeRabbit AI code review across GitHub and GitLab: install, configure, deploy organization-wide, tune review quality, handle incidents, and monitor effectiveness. Includes merge gate setup, cost optimization, security scanning, and migration from other tools. 24 skills covering setup, operations, and maintenance.

Blocks destructive git and filesystem commands before execution using configurable guard scripts, with guided setup for user-level, project-level, and shareable GitHub-scoped rulebooks.

Generate a brandable FDE consulting website with one command — interactively configure brand, pricing, and market preset, then output a static site to docs/ ready for GitHub Pages deployment.

Pack entire local/remote repositories into a single AI-friendly file for codebase analysis, summarization, and code review with built-in security scanning

Research any topic via web search and automatically create a structured GitHub issue with findings, source links, and next steps. Supports specifying repo, labels, and assignees for tracking research-to-implementation tasks.

Manage Linear issue tracking and project management workflows: create and update issues, manage projects and cycles, handle webhooks, authenticate via OAuth, migrate from Jira/GitHub Issues, deploy integrations, and monitor API usage with rate limiting and debugging tools.

Manage GitHub pull requests directly from the terminal — view CI/CD progress, bot comments, file changes, and merge with one command.

Redirects GitHub API URLs and curl/wget commands to the authenticated gh CLI, eliminating credential exposure and ensuring consistent API access during development workflows.

Enforce a repeatable SDLC workflow with memory, structured phases, multi-agent coordination, and verification gates for AI coding agents.

Enforces Sentry's engineering and documentation standards across code review, git workflow, security auditing, and project documentation. Automates PR descriptions, commit messages, branch naming, and SRED submission prep while scanning for vulnerabilities in Django, GitHub Actions, and agent skills.

Record, transcribe, and search meetings and voice memos to build a searchable memory of conversations. Analyze transcripts for talk-time, decisions, and commitments; generate pre-meeting briefs, post-meeting summaries, and weekly digests.

Research and contribute to the Model Context Protocol specification by searching GitHub issues, PRs, and discussions, and querying official documentation from modelcontextprotocol.io.

Find, review, install, and manage community skills for German law firm environments with a mandatory security review gate. Includes a library of skills for legal document drafting, deadline/risk assessment, and compliance checks.

Orchestrate parallel Claude Code agents in isolated git worktrees with tmux window status updates, supporting multi-branch development, PR generation, and conflict resolution.

Maintain a personal AI news radar: discover and manage AI/tech RSS/OPML feeds, check source health, and deploy a static JSON dataset via GitHub Actions and Pages. Query the latest Chinese AI news without APIs or keys.

End-to-end documentation workflow for Strapi: research coverage gaps, generate outlines, draft pages, review for style/code/UX consistency, and open PRs with proper git conventions.

Automate DevSecOps workflows with AWS DevOps Agent for release readiness, incident investigation, and cost optimization, and AWS Security Agent for code scanning, penetration testing, and threat modeling.

Automate a structured GitHub bug-fix workflow: from issue creation, branch management, conventional commits, and auto-fixing PR feedback, through multi-perspective PR review and CI pipeline fix loops.

Run team collaboration workflows directly from Claude: review architecture, analyze decision quality, map dependencies, estimate effort, triage issues, plan sprints, generate standup reports, balance workloads, capture session learnings, and manage CLAUDE.md files

Automates a 7-phase constitution-based spec-driven development workflow using GitHub Spec-Kit, activating on keywords like 'spec-kit', 'constitution', or 'specify' to guide the development process.

Guides you through the full lifecycle of contributing to third-party open-source repositories on GitHub — from discovery and CONTRIBUTING compliance to minimal-diff implementation, AI-assisted PR disclosure, conflict resolution, and maintainer interaction.

Automate project health audits, permission management, dev sessions, team updates with feedback triage, GitHub releases, multi-model AI second opinions, git workflows, UX audits, responsive layout testing, and browser automation across the full development lifecycle.

Autonomously optimizes LLM serving on SGLang and vLLM by benchmarking, profiling torch traces, patching code, and revalidating until SGLang/vLLM matches or beats competitor frameworks. Also triages production incidents, reviews SGLang PRs with human-style critique, and documents model optimization histories.

Automate GitHub pull requests, issues, repositories, workflows, and API interactions using gh CLI and GitHub API directly from your terminal.

Executes full-spectrum marketing campaigns across LinkedIn, Google, Meta, Reddit, Twitter, TikTok, Telegram, Discord, Slack, and Feishu: SEO audits, keyword research, content creation, ad management, competitor analysis, conversion optimization, and team messaging via webhooks and bot APIs.

Plan and execute marketing campaigns from strategy to execution: SEO audits, content production, ad management (Google, Meta, TikTok, LinkedIn), social media posts, email marketing, and brand monitoring. Leverage Google Search Console data for SEO insights and optimize pages for search visibility and conversions.

Orchestrate parallel multi-agent workflows from plan files, execute headless browser automation, generate production-grade frontend code from design images, and manage Codex plugins, hooks, and custom agents.

Conduct multi-channel technical research spanning code repositories, community discussions, and academic literature, with automated synthesis, bibliography generation, and TRIZ-inspired cross-domain problem-solving.

Manage git-flow branching model with automated feature, bugfix, and hotfix branch creation and completion, including PR creation, pre-merge checks, and cleanup.

Automatically address pull request review comments by implementing requested changes, running tests, and pushing commits to the PR branch.

Automate aiobotocore maintenance workflows: sync with botocore by classifying version bumps, porting tests to async, reviewing PRs for drift, and handling mechanical updates like version bumps and changelogs.

Bidirectionally sync GitHub issues and pull requests with Linear tasks, with conflict detection, field-level merge rules, webhook automation, and health monitoring to keep project management aligned across both platforms.

Generate and manage project documentation and changelogs by analyzing code, git history, and GitHub issues. Produces structured docs for architecture (C4/Arc42), migrations, troubleshooting, and onboarding, plus SQL model documentation and changelog entries.

Scaffold and manage projects, epics, tickets, and milestones using Product as Code (PAC) workflows, with commands for creating features, PRDs, JTBD documents, tracking progress across Linear and GitHub, and validating project health.

Automate GitHub and Git workflows: create conventional commits, manage branches, submit pull requests, review code, and resolve PR comments — all from Claude Code.

Manage AI agent teams to automate browser interactions, code maintenance, visual analysis, and parallel task execution within Claude Code and OpenSkills.

Manage stacked branches and pull requests using the gh-stack GitHub CLI extension, enabling creation, rebasing, syncing, and navigation of chains of dependent PRs.

Streamline GitHub issue triage and management by creating structured issues with labels, milestones, and assignees, and analyzing open issues to categorize priority, identify duplicates, and generate a prioritized backlog for sprint planning.

Review and approve GitHub pull requests with structured analysis, severity-rated findings, and CI verification.

Analyze a GitHub issue, implement a fix in a new branch, and create a pull request that references and auto-closes the issue

Automate semantic versioning and release workflows: bump versions, update changelogs, tag commits, and create full GitHub releases with package publishing, docs updates, and stakeholder notifications.

Master advanced TypeScript patterns and type transformations, build Fastify backends with OAuth 2.0, debug Node.js internals, enforce code quality with ESLint, manage git/GitHub workflows, and create polished documentation and code snippets.

Scaffold an Open Knowledge Format (OKF) knowledge base from existing docs, notes, or a repository, producing per-concept Markdown files with YAML frontmatter, validation, session hooks, and optional GitHub wiki bootstrapping.

A harness and skill library that enforces a Plan/Act/Verify loop with adversarial verification, context management, and session continuity across Claude Code, Cursor, Codex, and Gemini CLI.

Reproduce ML papers from arxiv, debug failing experiments with evidence-first protocols, compare training runs across tracking systems with epoch-aligned analysis, and audit paper claims against code and data. Includes LaTeX environment setup, literature gap analysis, and pre-launch training run verification.

Align GitHub issues, projects, and milestones into status dashboards with DORA delivery metrics, release-gate checklists, automated issue triage, and label reorganization.

Manage the full lifecycle of a skills repository: review skills for publication readiness, commit and verify changes, create tagged GitHub releases, and publish fact-checked announcements to GitHub Discussions.

Automate GitFlow branching workflows: start and finalize feature, hotfix, and release branches with version bumps, changelog updates, test runs, and GitHub releases.

Automates development workflows across project management, code review, documentation, and system administration with agents for Jira, GitHub, Confluence, code analysis, mobile testing, browser control, and task management.

Use a unified CLI to analyze images, search the web, extract page content, and explore GitHub code repositories through MCP tools and TypeScript chaining, enabling AI-powered automation and information retrieval across multiple data sources.

Automate GitHub repository maintenance tasks including issue triage, PR review, contributor analysis, and maintenance report generation.

Automate diverse development workflows using pre-built AI agent skills for Google Workspace, databases, project management, and AI research, enabling tasks like email management, SQL queries, Jira operations, and autonomous research without manual scripting.

Automate the full Git and GitHub coding workflow: intelligent commits, branch cleanup, PR management, changelog and README generation, CLAUDE.md maintenance, and GitHub Actions setup

A comprehensive skill, command, and agent collection for code analysis, PR management, dependency updates, documentation generation, and multi-role code review across multiple languages and frameworks.

Run your business with AI agents through GitHub, Telegram, and structured workflows for product management, design, and safe public releases. Includes tools for weekly planning, retrospectives, competitor analysis, PRD generation, and media production.

Automate the full development lifecycle of the Ark Kubernetes operator for AI agents: run Playwright dashboard tests, manage CVEs and OWASP vulnerabilities, generate CRDs, orchestrate OpenSpec feature workflows, provision isolated Kubernetes clusters, and sync documentation.

Analyze a GitHub issue and its sub-issues, then generate a structured plan with actionable tasks and dependencies for Claude to implement the fix.

Analyzes review comments and change requests in a GitHub Pull Request, then automatically plans and applies fixes, runs tests, and updates the PR using GitHub CLI.

Automates the full GitHub issue resolution workflow: fetches an issue, analyzes relevant context, implements a fix, and validates the solution for correct integration.

Automate bug fixing by creating a GitHub issue, branching, implementing and testing the fix, then opening a pull request that links back to the issue.