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Found 4,113 Skills
Comprehensive toolkit for validating, linting, and testing GitHub Actions workflow files, custom local actions, and public actions. Use this skill when working with GitHub Actions YAML files (.github/workflows/*.yml), validating workflow syntax, testing workflow execution with act, or debugging workflow issues.
Git 2.49+ features including git-backfill, path-walk API, and performance improvements
GitHub API operations - repositories, issues, pull requests, actions, code security, discussions, gists, and more. Use for GitHub-related tasks like managing PRs, issues, searching code, and monitoring workflows.
Create git commits using conventional commits with scopes. Use when the user asks to commit, make a commit, save changes, or any git commit operation. Never include Co-Authored-By lines, AI agent mentions, or any reference to Claude, AI, or automated tooling in commit messages.
GitBook documentation platform - creating docs, publishing sites, Git sync, API references, and collaboration
Set up and configure Git pre-commit hooks for code quality, secrets scanning, and commit message validation. Use when installing git hooks, configuring pre-commit checks, or enforcing code standards.
Clone, pull, and manage GitHub repositories using SSH authentication. Handles yousufjoyian repos and third-party repos.
Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.
Automate GitHub operations using gh CLI - manage repositories, issues, pull requests, releases, and workflows. Use when working with GitHub, managing repos, creating issues/PRs, or when users mention GitHub operations, gh CLI, or repository management.
DigitalOcean compute services covering Droplets, App Platform, Functions, Kubernetes (DOKS), GPU Droplets, and Bare Metal GPUs. Use when selecting or provisioning compute for applications, containers, or serverless workloads.
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing...
Use when optimizing GitLab CI/CD pipelines for performance, reliability, or maintainability. Covers pipeline optimization and organizational patterns.