dark-mode-implementer
Implements complete dark/light mode theming systems using CSS variables, Tailwind dark mode, React context, and system preference detection. Use when users request "add dark mode", "theme toggle", "dark theme",...
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Implements complete dark/light mode theming systems using CSS variables, Tailwind dark mode, React context, and system preference detection. Use when users request "add dark mode", "theme toggle", "dark theme",...
Optimizes hot module replacement and fast refresh for development speed with Vite, Next.js, and webpack configurations. Use when users request "hot reload", "HMR optimization", "fast refresh", "dev server speed...
Creates comprehensive deployment checklists with pre-deployment checks, smoke tests, verification steps, and sign-off workflows. Use for "deployment checklist", "release verification", "deployment runbook", or...
Identifies domain modules, ownership boundaries, dependencies, and interfaces using Domain-Driven Design principles. Provides domain maps, bounded contexts, refactor recommendations. Use for "DDD", "domain mode...
Sets up Storybook for component documentation with controls, actions, accessibility testing, and visual regression. Use when users request "Storybook setup", "component documentation", "UI library", "component...
Implements OAuth 2.0 and OpenID Connect authentication flows with secure token handling and provider integration. Use when users request "OAuth setup", "OIDC implementation", "social login", "SSO integration",...
Creates mock API servers for testing and development with MSW, json-server, or custom handlers. Use when users request "API mocking", "mock server", "MSW setup", "test fixtures", or "mock API responses".
Secures webhook receivers with signature verification, retry handling, deduplication, idempotency keys, and error responses. Provides verification code, dedupe storage strategy, runbook for incidents. Use when...
Recursive Language Model for processing large contexts (>50KB). Use for complex analysis tasks where token efficiency matters. Achieves 40% token savings by letting the LLM programmatically explore context via...
Share the current Claude Code session to claudereview.com for code review. Use this when the user wants to share their session, get a link to the conversation, or create a shareable review of the work done.
集成飞书/Feishu 服务,操作多维表格、文档、消息、群组等。当用户提到飞书、Feishu、Lark 或需要操作飞书相关功能时使用。
Use when building web APIs, backend services, or encountering FastAPI/Django/Express/GraphQL questions, microservices architecture, authentication, or message queues - routes to 11 specialist skills rather than...
Use when setting up CI/CD pipelines, experiencing deployment failures, slow feedback loops, or production incidents after deployment - provides deployment strategies, test gates, rollback mechanisms, and enviro...
Helps with data stuff
Use when maintaining, enhancing, or modifying existing Claude Code plugins - handles skills, commands, agents, hooks, and reference sheets through systematic domain analysis, structure review, behavioral testin...
Routes to security architecture skills - threat modeling, controls, compliance, authorization
Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production
Router skill - analyze requirements and direct to appropriate tactics
Use when building networks that grow, prune, or adapt topology during training. Routes to continual learning, gradient isolation, modular composition, and lifecycle orchestration skills.
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
Router for systems-as-experience - emergence, sandbox, optimization, discovery, narrative, modding
Router for documentation tasks - routes to ADRs, APIs, runbooks, security docs, or governance docs
Router skill directing to deployment, optimization, MLOps, and monitoring guides.
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.