LLM 與 Agent

Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.

Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.

Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools.

Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.

Build Retrieval-Augmented Generation (RAG) systems for AI 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.

Installs Sanity agent rules directly into the local project. Use when setting up a new editor environment.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Create high-quality MCP servers that enable LLMs to effectively interact with external services. Use when building MCP integrations for APIs or services in Python (FastMCP) or Node/TypeScript (MCP SDK).

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Common delegation patterns for PM agent

Protocol for tracking files immediately after agent creation

Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

Use multiple Claude agents to investigate and fix independent problems concurrently

Code file content generation guide. Use this skill when you need to create code files that can be previewed via `frago view`. Covers supported languages, theme selection, and best practices.

JSON file content generation guide. Use this skill when you need to create JSON files that can be previewed via `frago view`. Covers formatted display and best practices.

Markdown document content generation guide. Use this skill when you need to create Markdown documents that can be previewed via `frago view`. Covers element support, Mermaid charts, and best practices.

PDF file content generation guide. Use this skill when you need to understand how `frago view` previews PDF files. Covers rendering features and limitations.

TEST PHASE: Testing strategies, patterns, and quality assurance workflows.Provides test strategy frameworks, coverage guidelines, unit/integration/e2e patterns,performance testing approaches, and security testing checklists.Use when: designing test strategies, writing tests, evaluating coverage,planning QA workflows, implementing test automation.