GitHub
developing-test-driven
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
Skills IA Entreprise
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GitHub
model-development
Model development practices including model selection, training pipelines, hyperparameter tuning, evaluation, and model selection strategies.
GitHub
applying-owasp-security
Claude applies OWASP security best practices to web applications. Use when preventing vulnerabilities, implementing input validation, securing authentication, configuring security headers, or conducting securit...
GitHub
implementing-oauth
Claude implements OAuth 2.0 and OpenID Connect authorization flows. Use when adding social login, integrating OAuth providers, managing tokens, or securing APIs with OAuth.
GitHub
mobile-development
Cross-platform mobile development with React Native and Expo including navigation, state management, and native features
GitHub
feature-flags-and-progressive-delivery
The agent implements feature flag systems for trunk-based development, canary releases, and A/B testing. Use when implementing gradual rollouts, kill switches, or experiment-driven development.
GitHub
contract-testing
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
GitHub
workflow-config-system
The agent implements a centralized workflow configuration system for Git workflows, enabling set-once-use-everywhere automation for trunk-based development, gitflow, and github-flow patterns with integrated tes...
GitHub
foundation-models
Understanding Foundation Models - architecture, sampling parameters, structured outputs, post-training. Use when configuring LLM generation, selecting models, or understanding model behavior.
GitHub
postgresql
PostgreSQL database design, queries, optimization, and best practices
GitHub
ml-frameworks
ML framework best practices for PyTorch, TensorFlow, scikit-learn, and modern ML libraries including training patterns and optimization.
GitHub
payment-integration
Enterprise payment processing with Stripe, PayPal, and LemonSqueezy including subscriptions, webhooks, and PCI compliance
GitHub
brainstorming-ideas
AI agent generates diverse solutions through structured divergent thinking and systematic exploration frameworks. Use when exploring options, solving problems creatively, or generating alternatives.
GitHub
avoiding-testing-anti-patterns
AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.
GitHub
building-django-apps
Builds enterprise Django applications with DRF, ORM optimization, async views, and Celery tasks. Use when creating Python web apps, REST APIs, or full-stack Django projects.
GitHub
building-nestjs-apis
Builds enterprise NestJS applications with TypeScript, dependency injection, TypeORM, and microservices patterns. Use when creating scalable Node.js backends, REST/GraphQL APIs, or microservices.
GitHub
orchestrating-with-kubernetes
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
GitHub
model-optimization
Model optimization techniques including hyperparameter tuning, architecture search, training optimization, and performance profiling for ML systems.
GitHub
finishing-development-branches
AI agent completes development branches with comprehensive quality gates, clean git history, and thorough PR preparation. Use when wrapping up features, preparing for merge, or finalizing PRs.
GitHub
evaluation-methodology
Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models.
GitHub
ai-system-evaluation
End-to-end AI system evaluation - model selection, benchmarks, cost/latency analysis, build vs buy decisions. Use when selecting models, designing eval pipelines, or making architecture decisions.
GitHub
solving-problems
AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.
GitHub
building-fastapi-apis
Builds high-performance FastAPI applications with async/await, Pydantic v2, dependency injection, and SQLAlchemy. Use when creating Python REST APIs, async backends, or microservices.
GitHub
developing-with-prisma
The agent implements Prisma ORM for type-safe database access with schema design, migrations, and queries. Use when building database layers, designing relational schemas, implementing type-safe queries, or man...
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.