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Skills indexés
128Étoiles des dépôts des skills indexés
384Forks du dépôt
128Moyenne des étoiles par skill indexé
3Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
Chaos engineering and fault injection patterns for testing system resilience, failure recovery, and graceful degradation
Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling
Multi-source validation framework for technology decisions, best practices verification, and evidence-based implementation
AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents.
Claude builds accessible React UIs using shadcn/ui components with Radix primitives and React Hook Form integration. Use when creating forms, dialogs, or composable UI systems.
AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors.
Builds enterprise Laravel applications with Eloquent, API Resources, Sanctum auth, and queue processing. Use when creating PHP backends, REST APIs, or full-stack Laravel applications.
Building AI agents - tool use, planning strategies (ReAct, Plan-and-Execute), memory systems, agent evaluation. Use when building autonomous AI systems, tool-augmented apps, or multi-step workflows.
Deep neural network architectures including CNNs, RNNs, Transformers, and modern architectures for vision, NLP, and multimodal tasks.
Finetuning Foundation Models - when to finetune, LoRA, QLoRA, PEFT techniques, memory optimization, model merging. Use when adapting models to specific domains, reducing costs, or improving performance.
Core ML systems concepts including ML lifecycle, system architecture, requirements, and design principles for production ML.
Enterprise Spring Boot development with JPA, security, testing, and microservices patterns
Orchestrates AI-native sprint management with autonomous agent coordination and continuous delivery. Use when running development sprints with AI agent teams or coordinating parallel task execution.
Protecting AI applications - input/output guards, toxicity detection, PII protection, injection defense, constitutional AI. Use when securing AI systems, preventing misuse, or ensuring compliance.
The agent automatically generates comprehensive test tasks from feature requirements, ensuring every implementation task has corresponding test coverage with proper acceptance criteria.
The agent implements Git hooks that integrate with the workflow config system, automating pre-commit checks, commit message validation, pre-push tests, and post-merge actions.
The agent implements Redis caching, data structures, and real-time messaging patterns. Use when implementing caching layers, session storage, rate limiting, pub/sub messaging, or distributed data structures.
Property-based testing with Fast-Check for finding edge cases through automated input generation and invariant verification
AI/ML model integration including vision, audio, embeddings, and RAG implementation patterns
The agent implements MongoDB NoSQL database solutions with document modeling, aggregation pipelines, and Mongoose ODM. Use when building document-based applications, designing schemas, writing aggregations, or...
Production observability with structured logging, metrics collection, distributed tracing, and alerting
AI agent implements safe database migrations with zero-downtime strategies, rollback plans, and expand-contract patterns. Use when creating migrations, deploying schema changes, or implementing zero-downtime da...
TypeScript development with advanced type safety, generics, utility types, and best practices
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.