Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.
AI agent with tools (search, calculator) using LangGraph and AI SDK.
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
Complete guide for building agents and workflows in LangConfig. Use when users need help configuring nodes, connecting agents, setting up tools, or designing multi-agent systems within the LangConfig platform.
Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts metrics for monitoring, navigates trace details for investigation, and handles authentication. Use when documenting workflows, creating compliance screenshots, monitoring dashboard metrics, or investigating traces visually. MUST use Playwright MCP tools (mcp__playwright__*) for browser automation.
Create LangGraph workflows as NestJS applications under apps/langgraph/. Use same webhook pattern as n8n, receive same parameters (taskId, conversationId, userId, provider, model, statusWebhook). Wrap as API agents with request/response transforms. CRITICAL: Status webhook URL must read from environment variables. All endpoints follow A2A protocol.
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state schemas, reducers, node functions, edge types (normal, conditional), and graph compilation.
Prevent silent failures and catch implementation errors in LangGraph pipelines before runtime.
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing supervisor or swarm patterns, creating hierarchical agent workflows, or designing agent handoff mechanisms. Covers langgraph-supervisor, langgraph-swarm, agent-as-tool patterns, and context engineering for multi-agent systems.
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.
Subgraph composition and modular workflow design for LangGraph
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
通过从 LangSmith Studio 获取执行追踪来调试 LangChain 和 LangGraph 代理。用于调试代理行为、调查错误、分析工具调用、检查内存操作或检查代理性能时。自动获取最近的追踪并分析执行模式。需要安装 langsmith-fetch CLI。
Hybrid language detection algorithm for Vigil Guard v2.0.0. Use for language-detector Flask API, entity-based hints, Polish PESEL/NIP detection, 3-branch pipeline integration, accuracy troubleshooting, and langdetect integration.
Detect language of text with confidence scores, support for 50+ languages, and batch text classification.
Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical development.
Package development and extraction of reusable code. Use when working with package development, code reusability, or when user mentions packages, composer packages, extract package, reusable code, package development.
Deploy and manage Lark (Feishu) bot for Milady meme generation, command handling, and team collaboration. Use when setting up Lark webhooks, handling bot commands, deploying to production, or integrating with Lark messaging.
Expert guide for Layer Cake, a headless Svelte visualization framework managing scales, dimensions, and data flow while supporting SVG, Canvas, HTML, and WebGL rendering contexts for responsive data visualizations.
Expert guide for LayerChart, a Svelte component library for building diverse data visualizations (Cartesian, radial, hierarchical, geo, graph) with unopinionated building blocks, motion primitives, and advanced interactions.
Use when evaluating ICP fit, buying intent, and routing priority for new leads.
Guides adding new Higher Inductive Types to the ComputationalPaths library. Use when creating new HITs, defining fundamental group (pi1) calculations, implementing encode-decode proofs, or adding new topological spaces.
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Transform "I want to learn X" into actionable learning roadmaps using metalearning principles: identify the critical 20%, build expert vocabulary, sequence logically (why before how), prioritize curre
Learn about Nexus integrations and MCP. Load when user mentions: learn integrations, what is MCP, connect tools, integration tutorial, add integration, external tools, API connections, third party, how to integrate. 10-12 min.
Master Nexus philosophy and best practices. Load when user mentions: learn nexus, nexus tutorial, system mastery, nexus best practices, how nexus works, nexus philosophy, nexus design, understand nexus, nexus deep dive. 15-18 min.
Learn how Nexus projects work. Load when user mentions: learn projects, how do projects work, projects vs skills, project tutorial, what is a project, project structure, project lifecycle, understand projects, explain projects. 8-10 min.
Learn how Nexus skills work. Load when user mentions: learn skills, how do skills work, what is a skill, skill tutorial, skill structure, understand skills, explain skills, when to create skill, skill vs project. 10-12 min.
ai-integration for learning technology evaluation and implementation.
Develops strategic content plans for curriculum scope, sequence, and delivery.
peer-tutoring for enhanced learning effectiveness and personal development.
Process learning resources from markdown files, extract content, identify clusters, and create Ship-Learn-Next learning paths
Transform textbook chapters into engaging, evidence-based lectures with Google Slides. Guides instructors through learning outcomes, narrative design, active learning activities, and slide creation via Google Docs MCP.
Transform legacy codebases into AI-ready projects by generating Claude Code configurations.
Converts hierarchical legislative text from Word documents into a flat list of requirements. Use when processing regulatory documents, compliance frameworks, or legal text that needs to be extracted into individual, numbered requirements for analysis or mapping.
Le arquivos Excel (.xlsx, .xls) e CSV enviados pelo usuario. Use quando o usuario anexar um arquivo e pedir para analisar, importar ou processar os dados. Retorna o conteudo como JSON para analise.
Use when concluding significant work to extract reusable patterns and anti-patterns
Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.
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CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference screens.
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