langchain-patterns
Apply LangChain and LangGraph best practices and patterns
发现 编程开发 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Apply LangChain and LangGraph best practices and patterns
Opinionated constraints for building better interfaces with agents.
AI Agent の実行ガイドライン。TDD サイクル、品質保証、コンテキスト管理、完了報告のルールを定義。すべての開発タスク実行時に使用。
Search and save conversation memories using semantic search. Use this skill when the user mentions past conversations, asks "do you remember", or when historical context from previous sessions would help solve...
strategies for forcing Gemini to output valid structured data (JSON/XML). Use this for data extraction, API integrations, and creating machine-readable responses.
Leverage MCP servers for AI-native development with context, automation, and integrations.
implementation patterns for Gemini agents. Use this for coding ReAct loops, defining tools in Python, and using frameworks like LangChain/LangGraph.
Formalize interaction points for human verification and decisions in autonomous plans
Interactive Q&A to build UserStory.md from user input. Use when the user wants to create a user story document or start the assisted workflow.
Expert assistant for developing the IdeaMachina app - an ideas management system with CRUD, tagging, ratings, and "Continue to..." actions that convert ideas into projects, goals, workflows, or prompts. Use wh...
Create optimized prompts for agent-to-agent pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage work...
Interact with Home Assistant REST API for entity discovery, state retrieval, and service calls. Use when working with Home Assistant integrations, controlling devices, querying sensor data, or automating Home A...
Maintain compiled context artifacts for stateless agent spawning. This skill produces BOOT_CONTEXT (stable project brain), DELTA_CONTEXT (recent changes), and feature bundles so any agent can spawn with deep un...
Creates and configures stdio Model Context Protocol (MCP) server connections for OpenAI Agents SDK
Implement real-time voice agent capabilities using Azure Voice Live API. Use when building conversational AI voice agents, speech-to-speech applications, real-time audio processing, voice-enabled bots, or when...
Diagnoses and resolves common Model Context Protocol (MCP) server connection issues with OpenAI Agents SDK
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
strategies for the agent memory lifecycle (Extraction, Consolidation, Retrieval). Use this to implement long-term learning and personalization beyond a single session.
How to use the OpenAI-compatible API server
Agent invocation syntax and boundary rules
基于 LangChain 框架构建 AI Agent 机器人的技能。当用户需要创建 LangChain agent、选择 agent 框架、实现工具调用、管理对话记忆或构建复杂工作流时使用此技能。涵盖 LangGraph、CrewAI、AutoGen 等热门框架,提供最佳实践、...
MiniMax MCP server integration with token-efficient AI delegation. Use for web search, image analysis, MCP server integration in terminal/desktop Claude, and Claude-MiniMax collaboration patterns. Provides work...
Process team communication style assessments at the individual level. Use when analyzing "What's My Communication Style" results, creating individual profiles, or preparing coaching notes.
Calculate and track key performance indicators (KPIs) from pilot data and defined metrics. Use when deriving success metrics, benchmarking performance against objectives, or preparing quantitative reports and d...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。