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Found 96 Skills
Architecture patterns, design principles, and proven recipes for building robust robotics software. Use this skill when designing robot software architectures, choosing between behavioral frameworks, structuring perception-planning-control pipelines, implementing state machines, designing safety systems, or architecting multi-robot systems. Trigger whenever the user mentions behavior trees, finite state machines, subsumption architecture, sensor fusion, robot safety, watchdogs, heartbeats, graceful degradation, hardware abstraction layers, real-time constraints, or software architecture for robots. Also applies to sim-to-real transfer, digital twins, and robot fleet management.
Framer Motion (Motion) animation patterns for React — springs, staggers, layout animations, micro-interactions, scroll effects, and page transitions. Use when building or improving UI animations, adding polish, or making interfaces feel premium.
REST API design with resource naming, pagination, versioning, and OpenAPI spec generation
Use this skill when implementing game programming patterns - state machines for character/AI behavior, object pooling for performance-critical spawning, event systems for decoupled game communication, or the command pattern for input handling, undo/redo, and replays. Triggers on game architecture, game loop design, entity management, finite state machines, object pools, observer/event bus, command queues, and gameplay programming patterns.
API contract design conventions for FastAPI projects with Pydantic v2. Use during the design phase when planning new API endpoints, defining request/response contracts, designing pagination or filtering, standardizing error responses, or planning API versioning. Covers RESTful naming, HTTP method semantics, Pydantic v2 schema naming conventions (XxxCreate/XxxUpdate/XxxResponse), cursor-based pagination, standard error format, and OpenAPI documentation. Does NOT cover implementation details (use python-backend-expert) or system-level architecture (use system-architecture).
Use when working with fundamental software development knowledge — patterns, algorithms, architecture, and craftsmanship principles drawn from canonical published works. USE FOR: development fundamentals, pattern selection, architecture decisions, algorithm choice, code quality principles, choosing between architectural styles DO NOT USE FOR: specific pattern implementations (use sub-skills: design-patterns, integration-patterns, algorithms, etc.), testing strategy (use testing), infrastructure (use iac)
Review code architecture for maintainability, catch structural issues before they become debtUse when "Reviewing pull requests with structural changes, Planning refactoring work, Evaluating new feature architecture, Assessing technical debt, Before major releases, When code feels "hard to change", architecture, code-review, refactoring, design-patterns, technical-debt, dependencies, maintainability" mentioned.
System architecture guidance for Python/React full-stack projects. Use during the design phase when making architectural decisions — component boundaries, service layer design, data flow patterns, database schema planning, and technology trade-off analysis. Covers FastAPI layer architecture (Routes/Services/Repositories/Models), React component hierarchy, state management, and cross-cutting concerns (auth, errors, logging). Produces architecture documents and ADRs. Does NOT cover implementation (use python-backend-expert or react-frontend-expert) or API contract design (use api-design-patterns).
Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
Build reusable, maintainable UI components following modern design patterns. Use when creating component libraries, implementing design systems, or building scalable frontend architectures. Handles React patterns, composition, prop design, TypeScript, and component best practices.
Java 编码最佳实践与设计模式
Use when authoring TypeScript libraries - covers project setup, package exports, build tooling (tsdown/unbuild), API design patterns, type inference tricks, testing, and release workflows. Patterns extracted from 20+ high-quality ecosystem libraries.