AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Develops and optimizes Android-based motion detection systems featuring Camera2 integration and real-time networking.
Generates optimized 30-day work schedules by balancing financial obligations against income goals using advanced constraint-based solvers.
Builds production-ready repository structures with integrated security, CI/CD, and modern developer experience best practices.
Implement advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Authors and refactors modern Vue.js components using TypeScript, Composition API, and defineModel() following strict Prowi application conventions.
Orchestrates the creation of full-stack decentralized applications on the pod network, including smart contracts, Rust-based CLI tools, and React frontends.
Designs and implements production-grade Grafana dashboards for real-time system and application observability.
Guides users through complex project-specific procedures and verification steps to ensure consistent task execution.
Generates comprehensive API documentation including OpenAPI specifications, REST endpoint references, and authentication guides.
Implements end-to-end request tracking and performance monitoring across microservices using Jaeger and Tempo.
Facilitates deep technical exploration, architectural planning, and proof-of-concept development for new software features.
Builds sophisticated, interactive terminal user interfaces using the Textual Python framework.
Configures secure, headless authentication for Django backends to support React, Vue, and mobile frontends via REST APIs.
Navigates the Oxide omicron repository to provide detailed answers and code paths for the external Nexus API.
Builds sophisticated LLM-powered applications using autonomous agents, complex chains, and context-aware memory systems.
Executes tests adaptively across any framework or language, analyzes failures, and generates detailed diagnostic reports to facilitate rapid iteration.
Automates idiomatic Go code reviews focusing on error handling, concurrency safety, and interface design patterns.
Analyzes test failure reports to diagnose root causes and implement systematic fixes across any programming language or framework.
Manages the complete software development lifecycle by coordinating research, planning, implementation, testing, and bug-fixing phases.
Enhances the code review process with systematic checklists, constructive feedback patterns, and language-specific best practices to improve code quality.
End of results