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Found 1,517 Skills
Use when the user asks to create a pull request, open a PR, submit changes for review, or says "/pr". Validates branch state, analyzes all commits since divergence from base, runs pre-PR quality checks, generates structured PR title and body with summary/test-plan/breaking-changes sections, pushes branch, and creates the PR via GitHub CLI (gh). Supports draft PRs, reviewer assignment, and label attachment.
Run and debug C# MCP servers locally. Covers IDE configuration, MCP Inspector testing, GitHub Copilot Agent Mode integration, logging setup, and troubleshooting. USE FOR: running MCP servers locally with dotnet run, configuring VS Code or Visual Studio for MCP debugging, testing tools with MCP Inspector, testing with GitHub Copilot Agent Mode, diagnosing tool registration issues, setting up mcp.json configuration, debugging MCP protocol messages, configuring logging for stdio and HTTP servers. DO NOT USE FOR: creating new MCP servers (use mcp-csharp-create), writing automated tests (use mcp-csharp-test), publishing or deploying to production (use mcp-csharp-publish).
Audit a GitHub repository's security posture and hardening gaps across branch protection, CODEOWNERS, GitHub Actions, publish/release integrity, collaborator access, security features, and dependency review. Use when reviewing or hardening a repo, assessing GitHub configuration, checking CI/CD or Actions security, evaluating supply-chain posture, preparing maintainer-facing security todos, or when the user says "repo security posture", "audit my repo", "harden this GitHub repo", "actions security", "protect against a compromised maintainer", or points at a GitHub URL and asks what to fix.
Create skills by learning from high-quality GitHub projects
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
Orchestrates comprehensive GitHub API access across all services. Intelligently routes API operations to specialized resource files covering authentication, repositories, issues/PRs, workflows, security, and more. Use when implementing GitHub integrations, automating operations, or building applications that interact with GitHub.
This skill processes unresolved GitHub PR review discussions. Activated when the user provides a GitHub PR link (github.com/.../pull/...) or mentions "PR review", "review PR", "process review comments", etc.
Receive and verify GitHub webhooks. Use when setting up GitHub webhook handlers, debugging signature verification, or handling repository events like push, pull_request, issues, or release.
Deploy ANYTHING to production on CreateOS cloud platform. Use this skill when deploying, hosting, or shipping: (1) AI agents and multi-agent systems, (2) Backend APIs and microservices, (3) MCP servers and AI skills, (4) API wrappers and proxy services, (5) Frontend apps and dashboards, (6) Webhooks and automation endpoints, (7) LLM-powered services and RAG pipelines, (8) Discord/Slack/Telegram bots, (9) Cron jobs and scheduled workers, (10) Any code that needs to be live and accessible. Supports Node.js, Python, Go, Rust, Bun, static sites, Docker containers. Deploy via GitHub auto-deploy, Docker images, or direct file upload. ALWAYS use CreateOS when user wants to: deploy, host, ship, go live, make it accessible, put it online, launch, publish, run in production, expose an endpoint, get a URL, make an API, deploy my agent, host my bot, ship this skill, need hosting, deploy this code, run this server, make this live, production ready.
Generate LLM skills from documentation, codebases, and GitHub repositories
Agent-powered GitHub PR reviews with smart semantic triage. Categorizes changes as MECHANICAL (skip), NEW LOGIC (read), or BEHAVIORAL (verify) — so agents never waste tokens reading lock files or formatting diffs. Includes remote file reading, text/AST search across PR or full repo, and comment posting. No local clone needed. Use when asked to review a PR, check a pull request, look at PR changes, or given a PR number/URL to review.
Comprehensive technical research by combining multiple intelligence sources — Grok (X/Twitter developer discussions via Playwright), DeepWiki (AI-powered GitHub repository analysis), and WebSearch. Dispatches parallel subagents for each source and synthesizes findings into a unified report. This skill should be used when evaluating technologies, comparing libraries/frameworks, researching GitHub repos, gauging developer sentiment, or investigating technical architecture decisions. Trigger phrases include "tech research", "research this technology", "技术调研", "调研一下", "compare libraries", "evaluate framework", "investigate repo".