GitHub
feature-engineering
Feature engineering techniques including feature extraction, transformation, selection, and feature store management for ML systems.
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测试与安全 AI 技能
发现 测试与安全 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: 测试与安全
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GitHub
profiling-performance
Performs browser performance profiling with Lighthouse, Core Web Vitals, and DevTools analysis. Use when auditing page performance, optimizing Core Web Vitals, analyzing bundle sizes, or implementing performanc...
☆ 3查看技能
GitHub
rag-systems
Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmented applicat...
☆ 3查看技能
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.
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GitHub
model-development
Model development practices including model selection, training pipelines, hyperparameter tuning, evaluation, and model selection strategies.
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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...
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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.
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GitHub
mobile-development
Cross-platform mobile development with React Native and Expo including navigation, state management, and native features
☆ 3查看技能
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.
☆ 3查看技能
GitHub
contract-testing
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
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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...
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GitHub
foundation-models
Understanding Foundation Models - architecture, sampling parameters, structured outputs, post-training. Use when configuring LLM generation, selecting models, or understanding model behavior.
☆ 3查看技能
GitHub
postgresql
PostgreSQL database design, queries, optimization, and best practices
☆ 3查看技能
GitHub
ml-frameworks
ML framework best practices for PyTorch, TensorFlow, scikit-learn, and modern ML libraries including training patterns and optimization.
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GitHub
payment-integration
Enterprise payment processing with Stripe, PayPal, and LemonSqueezy including subscriptions, webhooks, and PCI compliance
☆ 3查看技能
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.
☆ 3查看技能
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.
☆ 3查看技能
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.
☆ 3查看技能
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.
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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...
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GitHub
model-optimization
Model optimization techniques including hyperparameter tuning, architecture search, training optimization, and performance profiling for ML systems.
☆ 3查看技能
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.
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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.
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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.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。