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- 技能研发工具
server-components
This skill should be used when the user asks about "Server Components", "Client Components", "'use client' directive", "when to use server vs client", "RSC patterns", "component composition", "data fetching in components", or needs guidance on React Server Components architecture in Next.js.
- development
- plugin
- valuz
免费 - 技能研发工具
Playwright Cli
自动化浏览器交互、网页测试及 Playwright 测试。
- dev-test-gen
- dev-script
- skillhub
免费 - 技能研发工具
route-handlers
This skill should be used when the user asks to "create an API route", "add an endpoint", "build a REST API", "handle POST requests", "create route handlers", "stream responses", or needs guidance on Next.js API development in the App Router.
- development
- plugin
- valuz
免费 - 技能研发工具
server-actions
This skill should be used when the user asks about "Server Actions", "form handling in Next.js", "mutations", "useFormState", "useFormStatus", "revalidatePath", "revalidateTag", or needs guidance on data mutations and form submissions in Next.js App Router.
- development
- plugin
- valuz
免费 - 技能研发工具
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- development
- plugin
- valuz
免费 - 技能研发工具
ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
- devops
- plugin
- valuz
免费 - 技能研发工具
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
- development
- plugin
- valuz
免费 - 技能研发工具
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
- development
- plugin
- valuz
免费 - 技能研发工具
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
- development
- plugin
- valuz
免费 - 技能研发工具
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
- development
- plugin
- valuz
免费 - 技能研发工具
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
- development
- plugin
- valuz
免费 - 技能研发工具
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
- development
- plugin
- valuz
免费