test-driven-development
Use when adding features or fixing bugs. Follow RED/GREEN/REFACTOR cycle. Write failing test first, implement minimal code to pass, then refactor.
Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Use when adding features or fixing bugs. Follow RED/GREEN/REFACTOR cycle. Write failing test first, implement minimal code to pass, then refactor.
Self-review before declaring work complete
Use when debugging web applications or automating browser tasks. Leverage Chrome DevTools MCP for inspection, performance analysis, and automated testing.
Infrastructure as Code with Terraform. Use when provisioning cloud resources, managing state, creating modules, or reviewing Terraform configurations.
Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Alibaba Cloud architecture patterns and best practices. Use when designing, deploying, or reviewing infrastructure on Alibaba Cloud including ECS, ACK, Function Compute, and OSS.
Delegate tasks to remote Claude Code agent containers for parallel execution, long-running analysis, or resource-intensive operations.
Enforce one branch per issue, small focused commits, and clean git history. Use with /branch command.
Use when symptoms don't reveal the cause. Trace backward through call chains to find where problems originate. Follow: Observe symptom → Find immediate cause → Identify caller → Keep tracing → Locate trigger.
Microsoft Azure architecture patterns and best practices. Use when designing, deploying, or reviewing Azure infrastructure including AKS, App Service, Functions, CosmosDB, and Entra ID.
Use when performing security audits or system hardening. Teaches security assessment principles and prioritization.
Use when optimizing website performance. Run Google Lighthouse audits via MCP to measure metrics, identify bottlenecks, and iterate on improvements.
Use when implementing validation or safety checks. Multi-layer validation approach prevents bugs through redundant safeguards. Makes bugs structurally impossible.
Cloud cost optimization and FinOps practices. Use when analyzing cloud costs, implementing savings strategies, or optimizing resource usage.
Use when encountering bugs or unexpected behavior. Methodical approach to identify root cause: Reproduce → Isolate → Identify → Fix → Verify.
Policy as Code with OPA, Kyverno, and Checkov. Use when implementing governance, compliance automation, or security policies for infrastructure and Kubernetes.
Use when building AI agent systems. Covers agent loops, tool calling, planning patterns, memory systems, multi-agent coordination, and safety guardrails. Apply when creating autonomous AI workflows, coding assi...
Use when building retrieval-augmented generation systems. Covers chunking strategies, embedding models, vector databases, retrieval patterns, and hybrid search. Apply when adding knowledge bases, document Q&A,...
GitOps deployment patterns with ArgoCD and Flux. Use when implementing Git-based infrastructure management, continuous deployment, or declarative operations.
Docker containerization best practices. Use when building Docker images, writing Dockerfiles, configuring Docker Compose, or troubleshooting container issues.
Backup database before tests, migrations, or other database operations
Use this skill ONLY when creating a new hedge fund agent (e.g., Ray Dalio, Peter Lynch). Do not use for scanners or other components.
Use this skill ONLY when modifying GPT calls, agent prompts, or structured output. Do not use for other AI/ML tasks.
Use this skill ONLY when creating Pydantic data models, configs, or event types. Do not use for database models or other schemas.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.