Comprehensive LLMOps operational framework covering data engineering pipelines, model domain adaptation (fine-tuning, RAG, prompt engineering), API-first deployment, LLM evaluation metrics, LLMSecOps security audits, and infrastructure scaling. MUST load when building or operating LLM-based applications in production. For RAG implementation details, use building-rag-systems. For general monitoring patterns, use designing-monitoring. For AI development methodology, use developing-with-ai.
Provides comprehensive LLMOps frameworks for building, deploying, and securing production-ready LLM applications.
npx claudepluginhub sumik5/sumik-claude-pluginThis skill inherits all available tools. When active, it can use any tool Claude has access to.
INSTRUCTIONS.mdreferences/API-DEPLOYMENT.mdreferences/DATA-ENGINEERING.mdreferences/EVALUATION.mdreferences/MODEL-ADAPTATION.mdreferences/SCALING-INFRASTRUCTURE.mdreferences/SECURITY-GOVERNANCE.md詳細な手順・ガイドラインは INSTRUCTIONS.md を参照してください。
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.