dod
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
580 skills found
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
Decision framework for choosing between MCP tools and direct API skills to optimize agent performance, cost, and efficiency.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.
Structured batch manipulation, validation, and reporting for PlantUML sequence diagrams across multiple files.
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
A CLI tool that automates the discovery and symlinking of agent skills distributed via npm packages, simplifying integration for AI-powered coding agents.
Parallel task orchestration CLI for AI workers using isolated git workspaces.
Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.
Build modern, composable, and accessible React UI components following the components.build specification. Use for design systems, component libraries, and reusable UI architectures.
Build accessible, consistent UIs using shadcn/ui and Tailwind CSS. Employs a component-first architecture for design systems, React Hook Form integration, and responsive mobile-first development.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.