Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt…
Provides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing tool calling capabilities, and integrating MCP clients with…
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI…
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and…
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents.
Provides tool and function calling patterns with LangChain4j. Handles defining tools, function calls, and LLM agent integration.
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…
Langflow is an open-source visual builder for AI agents and workflows. It lets teams design flows graphically, expose them as APIs or MCP tools, and connect major LLMs, vector…
Internationales Handelsrecht: Langfristige Lieferverträge (Long-Term Supply Agreement, LSA). Preisanpassungsklauseln, Mindestmengen (Take-or-Pay), Qualitätssicherung,…
Instrument arifOS constitutional AI kernel with Langfuse LLM tracing. Use when (1) adding Langfuse tracing to arifOS tool calls, (2) wiring arifOS telemetry to Langfuse cloud or…
为编码工作流提供 Langfuse 链路追踪能力。当执行 logic-layer-method-impl 等编码 skill 时，自动上报每个大步骤（识别模式、代码生成、编译、启动、单元测试、代码修复）的开始/结束事件到自部署 Langfuse，实现全流程可观测。凡用户涉及编码流程监控、追踪、可观测性、Langfuse 上报时均应触发此…
Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM…
Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI…
Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts metrics for monitoring, navigates trace details for…
Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM…
Configure Langfuse enterprise organization management and access control. Use when implementing team access controls, configuring organization settings, or setting up role-based…
Analyzes user feedback from Langfuse annotation queues and generates surgical recommendations for template.yaml, style.yaml, and tools.yaml
Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in…
Execute complex Langfuse migrations including data migration and platform changes. Use when migrating from other observability platforms, moving between Langfuse instances, or…
Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring…
Analyzes writing-ecosystem traces to fix style.yaml, template.yaml, and tools.yaml based on quality issues found in production runs.
Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production…
Langfuse production readiness checklist and verification. Use when preparing to deploy Langfuse to production, validating production configuration, or auditing existing setup.
Langfuse Prompt Management MCP Server connects MCP clients to Langfuse prompt libraries so agents can list, retrieve, and compile managed prompts at runtime.
Upgrade Langfuse SDK versions and migrate between API changes. Use when upgrading Langfuse SDK, handling breaking changes, or migrating between Langfuse versions.
Configure Langfuse webhooks for prompt change notifications and event-driven workflows. Use when setting up prompt change notifications, triggering CI/CD on prompt updates, or…
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
بناء AI Agents و Multi-Agent Systems باستخدام LangGraph و LangChain. استخدم هذا الـ skill عند: إنشاء agent ذكاء اصطناعي، بناء multi-agent system، تصميم workflow بـ LangGraph،…
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing.
LangGraph v0.2 ядро (import langgraph). ТОЛЬКО при: StateGraph, add_node/add_edge, conditional_edges, @entrypoint/@task, Command/Send, interrupt, subgraph, MessagesState, Pregel,…
Conception de graphes d'agents avec LangGraph pour workflows complexes et stateful. Gestion d'état partagé, edges conditionnels, persistance et human-in-the-loop.
Create LangGraph workflows as NestJS applications under apps/langgraph/. Use same webhook pattern as n8n, receive same parameters (taskId, conversationId, userId, provider, model,…
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pattern, enabling parallel execution, persistence, and…
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic…
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent supervision.
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or…
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow — from langchain-ai/langgraph
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow — from…
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow — from…
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementing accumulating state with Annotated operators, or managing…
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
A comprehensive skill to understanding how Langium-based projects work — from grammar definition through code generation, runtime parsing, linking, validation, and LSP integration
Documentation site for langium-zod Use when: You have a parsed Langium `Grammar` object and want Zod schemas as a....
LangSmith 통합 및 LLM Observability 가이드. 토큰 추적, 비용 계산, Run Tree, Tracing 데코레이터, OTEL 연동 구현 시 참조. "langsmith", "tracing", "observability", "token usage", "cost tracking" 키워드로 트리거.
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。
Set DevFlow language preference — all responses, hook messages, and interactions switch to the selected language
Design escape room puzzles that work across languages and cultures using visual logic, mathematical deduction, spatial reasoning, and pattern recognition.
Bash idioms — strict mode, quoting, parameter expansion, arrays, pipefail, trap cleanup, idempotency, heredocs, and POSIX portability.
Analyze code and documentation for non-inclusive language, understanding context and intent before flagging issues.
Ambient language coaching. Provides grammar corrections, vocabulary suggestions, false friend alerts, and active vocabulary teaching from conversation context.
Defines language usage conventions separating user communication from technical artifacts. Use when writing code, documentation, commits, or communicating with users in…
Use when designing language features - covers lexer, parser, AST, and interpreter patterns
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,…
Detect language of text with confidence scores, support for 50+ languages, and batch text classification.