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Found 198 Skills
API design patterns for REST/GraphQL framework design, versioning strategies, and RFC 9457 error handling. Use when designing API endpoints, choosing versioning schemes, implementing Problem Details errors, or building OpenAPI specifications.
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse LLM tracing, and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
Vision, audio, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, or building multimodal AI pipelines.
Creates commits with conventional format and validation. Use when committing changes or generating commit messages.
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Visualize planned changes before implementation. Use when reviewing plans, comparing before/after architecture, assessing risk, or analyzing execution order and impact.
Security patterns for authentication, defense-in-depth, input validation, OWASP Top 10, LLM safety, and PII masking. Use when implementing auth flows, security layers, input sanitization, vulnerability prevention, prompt injection defense, or data redaction.
Responsive design with Container Queries, fluid typography, cqi/cqb units, and mobile-first patterns for React applications. Use when building responsive layouts or container queries.
Mock Service Worker (MSW) 2.x for API mocking. Use when testing frontend components with network mocking, simulating API errors, or creating deterministic API responses in tests.
ElevenLabs TTS integration for video narration. Use when generating voiceover audio, selecting voices, or building script-to-audio pipelines
LangGraph streaming patterns for real-time updates. Use when implementing progress indicators, token streaming, custom events, or real-time user feedback in workflows.
LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementing accumulating state with Annotated operators, or managing shared state across nodes.