Build a LangGraph 1.0 Deep Agent — planner + subagents + virtual filesystem + reflection loop — without the state-growth and prompt-inheritance traps.
Score 70/100
Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.
Score 70/100
Implement role-based access control for LangChain applications with multi-tenant isolation, model access control, and usage quotas.
Score 70/100
Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent…
Score 70/100
Incident response procedures for LangChain production issues: provider outages, high error rates, latency spikes, and cost overruns.
Score 70/100
Build a correct LangGraph 1.0 ReAct agent with `create_react_agent` — typed tools, error propagation, recursion caps, and stop conditions that actually stop.
Score 70/100
Build a correct LangGraph 1.0 StateGraph — typed TypedDict state with reducers, nodes, edges, compile, and recursion budgets — without hitting the silent-termination and…
Score 70/100
Configure LangChain across dev/staging/production environments with isolated API keys, environment-specific settings, and secrets.
Score 70/100
Set up comprehensive observability for LangChain applications with LangSmith tracing, OpenTelemetry, Prometheus metrics, and alerts.
Score 70/100
Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration
Score 70/100
Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and…
Score 70/100
Building LLM applications with LangChain - chains, agents, RAG, memory, and production patterns for AI-powered apps.
Score 70/100
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt…
Score 70/100
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI…
Score 70/100
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents.
Score 70/100
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…
Score 70/100
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…
Score 70/100
Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM…
Score 70/100
Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI…
Score 70/100
Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts metrics for monitoring, navigates trace details for…
Score 70/100
Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM…
Score 70/100
Configure Langfuse enterprise organization management and access control. Use when implementing team access controls, configuring organization settings, or setting up role-based…
Score 70/100
Analyzes user feedback from Langfuse annotation queues and generates surgical recommendations for template.yaml, style.yaml, and tools.yaml
Score 70/100
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…
Score 70/100
Execute complex Langfuse migrations including data migration and platform changes. Use when migrating from other observability platforms, moving between Langfuse instances, or…
Score 70/100
Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring…
Score 70/100
Analyzes writing-ecosystem traces to fix style.yaml, template.yaml, and tools.yaml based on quality issues found in production runs.
Score 70/100
Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production…
Score 70/100
Langfuse production readiness checklist and verification. Use when preparing to deploy Langfuse to production, validating production configuration, or auditing existing setup.
Score 70/100
Langfuse Prompt Management MCP Server connects MCP clients to Langfuse prompt libraries so agents can list, retrieve, and compile managed prompts at runtime.
Score 70/100
Upgrade Langfuse SDK versions and migrate between API changes. Use when upgrading Langfuse SDK, handling breaking changes, or migrating between Langfuse versions.
Score 70/100
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…
Score 70/100
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
Score 70/100
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing.
Score 70/100
Conception de graphes d'agents avec LangGraph pour workflows complexes et stateful. Gestion d'état partagé, edges conditionnels, persistance et human-in-the-loop.
Score 70/100
Create LangGraph workflows as NestJS applications under apps/langgraph/. Use same webhook pattern as n8n, receive same parameters (taskId, conversationId, userId, provider, model,…
Score 70/100
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic…
Score 70/100
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or…
Score 70/100
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
Score 70/100
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
Score 70/100
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
Score 70/100
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
Score 70/100
Set DevFlow language preference — all responses, hook messages, and interactions switch to the selected language
Score 70/100
Design escape room puzzles that work across languages and cultures using visual logic, mathematical deduction, spatial reasoning, and pattern recognition.
Score 70/100
Analyze code and documentation for non-inclusive language, understanding context and intent before flagging issues.
Score 70/100
Ambient language coaching. Provides grammar corrections, vocabulary suggestions, false friend alerts, and active vocabulary teaching from conversation context.
Score 70/100
Defines language usage conventions separating user communication from technical artifacts. Use when writing code, documentation, commits, or communicating with users in…
Score 70/100
Use when designing language features - covers lexer, parser, AST, and interpreter patterns
Score 70/100
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,…
Score 70/100
Detect language of text with confidence scores, support for 50+ languages, and batch text classification.
Score 70/100
Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical…
Score 70/100
Use for language design questions including syntax decisions, semantics, grammar authoring, and comparing DomainLang with other DSLs.
Score 70/100
Meta-cognitive and practical strategies for learning any language -- learner autonomy, goal setting, strategy taxonomy (Oxford's SILL framework), memory strategies, cognitive…
Score 70/100
TODO — Write a one-sentence description of when to use this language/syntax reference (50-200 chars). Start with an action verb.
Score 70/100
Rust idioms — ownership, borrowing, lifetimes, error handling, traits, and iterators. Auto-load when working with .rs files, Cargo.toml, or when the user mentions Rust, cargo,…
Score 70/100
Expert in internationalization (i18n) and localization (l10n) for the Raamattu Nyt monorepo. Fluent in all world languages with deep knowledge of multilingual app development.
Score 70/100
Expert guidance on 9 programming languages and 10+ frameworks. Compare, select, and master language ecosystems.
Score 70/100
Check grammar, style, and spelling across 25+ languages with LanguageTool. This open-source proofreading engine can run as a local Java server or via its public API, providing…
Score 70/100
Generates lapsed user detection and re-engagement screens with personalized return experiences, win-back offers, and inactivity tracking.
Score 70/100
Use when building larger movement animations between 500-800ms - hero transitions, complex reveals, animations that tell a story and deserve attention
Score 70/100