langsmith-fetch
ComposioHQDebug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
langchain-architecture
wshobsonDesign LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
langchain
davila7Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
crewai-multi-agent
davila7Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
langgraph
davila7Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
langfuse
davila7Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
langchain-architecture
sickn33Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
llm-application-dev-langchain-agent
sickn33You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
skill-creator
langchain-aiGuide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
schema-exploration
langchain-aiFor discovering and understanding database structure, tables, columns, and relationships
web-research
langchain-aiUse this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
query-writing
langchain-aiFor writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
social-media
langchain-aiUse this skill when creating short-form social media content for LinkedIn, Twitter/X, or other platforms
langgraph-docs
langchain-aiUse this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
blog-post
langchain-aiUse this skill when writing long-form blog posts, tutorials, or educational articles that require structure, depth, and SEO considerations
todozi
openclawTodozi Eisenhower matrix API client + LangChain tools. Create matrices, tasks, goals, notes; list/search/update; bulk operations; webhooks. Categories: do, done, dream, delegate, defer, dont.
introduction-to-prompt-templates-in-langchain-come-35ee588c
openclawcreate a “summarize article” template and reuse it anytime you want
langchain-core-workflow-a
jeremylongshoreBuild LangChain chains and prompts for structured LLM workflows. Use when creating prompt templates, building LCEL chains, or implementing sequential processing pipelines. Trigger with phrases like "langchain chains", "langchain prompts", "LCEL workflow", "langchain pipeline", "prompt template".
langchain-incident-runbook
Incident response procedures for LangChain production issues. Use when responding to production incidents, diagnosing outages, or implementing emergency procedures for LLM applications. Trigger with phrases like "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down".
langchain-security-basics
Apply LangChain security best practices for production. Use when securing API keys, preventing prompt injection, or implementing safe LLM interactions. Trigger with phrases like "langchain security", "langchain API key safety", "prompt injection", "langchain secrets", "secure langchain".
langchain-core-workflow-b
Build LangChain agents with tools for autonomous task execution. Use when creating AI agents, implementing tool calling, or building autonomous workflows with decision-making. Trigger with phrases like "langchain agents", "langchain tools", "tool calling", "langchain autonomous", "create agent", "function calling".
langchain-cost-tuning
jeremylongshoreOptimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
langchain-performance-tuning
Optimize LangChain application performance and latency. Use when reducing response times, optimizing throughput, or improving the efficiency of LangChain pipelines. Trigger with phrases like "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".
langchain-migration-deep-dive
jeremylongshoreComplex migration strategies for LangChain applications. Use when migrating from legacy LLM frameworks, refactoring large codebases, or implementing phased migration approaches. Trigger with phrases like "langchain migration strategy", "migrate to langchain", "langchain refactor", "legacy LLM migration", "langchain transition".
langchain-debug-bundle
jeremylongshoreCollect LangChain debug evidence for troubleshooting and support. Use when preparing bug reports, collecting traces, or gathering diagnostic information for complex issues. Trigger with phrases like "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".
langchain-multi-env-setup
Configure LangChain multi-environment setup for dev/staging/prod. Use when managing multiple environments, configuring environment-specific settings, or implementing environment promotion workflows. Trigger with phrases like "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".
langchain-rate-limits
jeremylongshoreImplement LangChain rate limiting and backoff strategies. Use when handling API quotas, implementing retry logic, or optimizing request throughput for LLM providers. Trigger with phrases like "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota".
langchain-enterprise-rbac
Implement enterprise role-based access control for LangChain applications. Use when implementing user permissions, multi-tenant access, or enterprise security controls for LLM applications. Trigger with phrases like "langchain RBAC", "langchain permissions", "langchain access control", "langchain multi-tenant", "langchain enterprise auth".
langchain-prod-checklist
jeremylongshoreExecute LangChain production deployment checklist. Use when preparing for production launch, validating deployment readiness, or auditing existing production LangChain applications. Trigger with phrases like "langchain production", "langchain prod ready", "deploy langchain", "langchain launch checklist", "production checklist".
langchain-webhooks-events
Implement LangChain callback and event handling for webhooks. Use when integrating with external systems, implementing streaming, or building event-driven LangChain applications. Trigger with phrases like "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "callback handler".
langchain-hello-world
Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts. Trigger with phrases like "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".
langchain-ci-integration
Configure LangChain CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating LangChain tests into your build process. Trigger with phrases like "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline".
langchain-upgrade-migration
Plan and execute LangChain SDK upgrades and migrations. Use when upgrading LangChain versions, migrating from legacy patterns, or updating to new APIs after breaking changes. Trigger with phrases like "upgrade langchain", "langchain migration", "langchain breaking changes", "update langchain version", "langchain 0.3".
langchain-install-auth
jeremylongshoreInstall and configure LangChain SDK/CLI authentication. Use when setting up a new LangChain integration, configuring API keys, or initializing LangChain in your project. Trigger with phrases like "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials".
langchain-reference-architecture
Implement LangChain reference architecture patterns for production. Use when designing LangChain systems, implementing scalable patterns, or architecting enterprise LLM applications. Trigger with phrases like "langchain architecture", "langchain design", "langchain scalable", "langchain enterprise", "langchain patterns".
langchain-sdk-patterns
Apply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integrations, refactoring code, or establishing team coding standards for LangChain applications. Trigger with phrases like "langchain SDK patterns", "langchain best practices", "langchain code patterns", "idiomatic langchain", "langchain architecture".
langchain-local-dev-loop
Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".
langchain-deploy-integration
Deploy LangChain integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up production infrastructure for LangChain apps. Trigger with phrases like "deploy langchain", "langchain production deploy", "langchain cloud run", "langchain docker", "langchain kubernetes".
langchain-common-errors
jeremylongshoreDiagnose and fix common LangChain errors and exceptions. Use when encountering LangChain errors, debugging failures, or troubleshooting integration issues. Trigger with phrases like "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".
langchain-observability
Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for LangChain application health. Trigger with phrases like "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "langchain alerts".
langchain-data-handling
jeremylongshoreImplement LangChain data privacy and handling best practices. Use when handling sensitive data, implementing PII protection, or ensuring data compliance in LLM applications. Trigger with phrases like "langchain data privacy", "langchain PII", "langchain GDPR", "langchain data handling", "langchain compliance".
file-organizer
langchain-aiIntelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
langsmith-tracing
a5c-aiLangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
langchain-retriever
LangChain retriever implementation with multiple retrieval strategies for retrieval-augmented generation (RAG) applications
langchain-memory
a5c-aiLangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
langchain-react-agent
a5c-aiLangChain ReAct agent implementation with tool binding for reasoning and action loops
langchain-chains
a5c-aiLangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
langchain-tools
a5c-aiLangChain tool creation and integration utilities for agent systems