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Found 4,825 Skills
Guides teams through designing, implementing, and optimizing CI/CD pipelines, GitHub Actions workflows, deployment automation, and agentic workflow patterns. Provides production-ready templates, cost optimization strategies, quality gates, and multi-environment deployment planning for modern DevOps practices.
Guides QA engineers through daily testing activities—morning review, test case creation, automation, exploratory testing, bug reporting, and end-of-day wrap-up. Use when planning or executing day-to-day testing or when the user asks about daily testing workflow.
Guides release testing from T-14 planning through Go/No-Go, deployment, and post-release. Covers functional, regression, performance, security, accessibility. Use when planning or executing release testing.
Fix production issues and review code with Sentry context. Use when asked to fix Sentry errors, debug issues, triage exceptions, review PR comments from Sentry, or resolve bugs.
Test-Driven Development workflow enforcement with RED-GREEN-REFACTOR cycle. Use when implementing features test-first or improving test coverage.
Autonomous feature development workflow using isolated worktrees. Use to autonomously implement features from task description through tested PR delivery. Handles worktree creation, implementation, testing, iteration, documentation, and PR creation. Triggers on autonomous feature development, end-to-end implementation, or "implement X autonomously."
Set up automated CI failure detection and fixing using Claude Code. Use when you want to create a GitHub Actions workflow that automatically analyzes workflow failures, applies fixes for common issues, and opens issues for complex problems.
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
High-level workflows for managing work using Fizzy cards — start, work on, complete, and delegate cards using the Fizzy CLI.
Set up, develop, test, and deploy Render Workflows. Covers first-time scaffolding (via CLI or manual), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first time, install the Render Workflows SDK (Python or TypeScript), scaffold a workflow service, add or modify tasks, test locally, or deploy to Render.
Wave-based comprehensive project documentation generator with dynamic task decomposition. Analyzes project structure and generates appropriate documentation tasks, computes optimal execution waves via topological sort, produces complete documentation suite including architecture, methods, theory, features, usage, and design philosophy.