api-design-principles
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
52 skills found
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Audit Packmind documentation by cross-referencing MDX files against the codebase to detect broken links, outdated CLI references, and missing coverage.
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
Guidance for writing, reviewing, and refactoring software tests, focusing on integration strategies, condition-based waiting, and professional mocking patterns.
Discover, analyze, and summarize trending GitHub repositories, project health, and technical stacks to stay updated on open-source ecosystems.
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.