Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
538 skills found
Compiler-accurate semantic code analysis via LSP. Navigate definitions, references, and implementations, perform workspace-wide renames, and get file outlines for Python, Rust, Go, TypeScript/JS, and Java.
Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
Standardizes Vitest unit and integration testing workflows for TypeScript, enforcing 70% coverage, proper mocking, and CI/CD-ready verification patterns.
A universal skill for automating GitHub Project V2 Kanban boards, supporting status transitions, sprint management, and interactive workflows via CLI.
Profiles application performance using k6, Artillery, or JMeter to measure latency, throughput, and error rates. Ideal for planning load, stress, and soak tests to identify bottlenecks.
Git workflow and branch management tool for the qcc_plus project, enforcing standardized commit conventions and secure deployment processes.
Automated security auditing for project dependencies. Scans package files (npm, pip, maven, etc.) for vulnerabilities, CVEs, and license issues, offering automated fix suggestions and integration for secure deployment workflows.
A secure Git commit workflow agent that prevents accidental mass commits and promotes surgical, file-specific staging and semantic commits.
Create new Figma design or FigJam files directly via the MCP server. Automatically resolves plans and initializes new canvases for your design workflows.
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Debug failing GitHub Actions CI checks by fetching logs, summarizing failures, and planning fixes.