- Analyze MarketPerform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.langchain-ai/deepagents25,652
- Arxiv SearchSearches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.langchain-ai/deepagents25,652
- Arxiv SearchSearches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.langchain-ai/deepagents25,652
- Blog PostWrites and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.langchain-ai/deepagents25,652
- Blog PostWrite structured long-form blog posts with research, SEO optimization, and cover image generation.langchain-ai/deepagents25,652
- Blog PostWrite long-form blog posts with SEO optimization and clear structure.langchain-ai/deepagents25,652
- Code ReviewPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.langchain-ai/deepagents25,652
- Coding PrefsRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.langchain-ai/deepagents25,652
- Competitor AnalysisAnalyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.langchain-ai/deepagents25,652
- Cudf AnalyticsUse for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.langchain-ai/deepagents25,652
- Cuml Machine LearningUse for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.langchain-ai/deepagents25,652
- Data VisualizationUse for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.langchain-ai/deepagents25,652
- Gpu Document ProcessingUse when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.langchain-ai/deepagents25,652
- Langgraph DocsFetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.langchain-ai/deepagents25,652
- Langgraph DocsFetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.langchain-ai/deepagents25,652
- PlanningBreak down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.langchain-ai/deepagents25,652
- Query WritingWrites and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.langchain-ai/deepagents25,652
- RememberReview the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.langchain-ai/deepagents25,652
- Schema ExplorationLists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.langchain-ai/deepagents25,652
- Skill CreatorGuide 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 langchain-ai/deepagents25,652
- Skill CreatorGuide 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 langchain-ai/deepagents25,652
- Skill CreatorGuide 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 langchain-ai/deepagents25,652
- Social MediaDrafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.langchain-ai/deepagents25,652
- Social MediaCreate social media content including Twitter/X threads, LinkedIn posts, and short-form updates.langchain-ai/deepagents25,652
- Social MediaCreate social media posts optimized for engagement across platforms.langchain-ai/deepagents25,652
- Web ResearchSearches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.langchain-ai/deepagents25,652
- Web ResearchSearches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.langchain-ai/deepagents25,652
- Bootstrap Repo AnalysisFirst-time analysis of a repository with no prior reviewer outcomes. Crawl historical merged-PR review feedback with the gh CLI (plus any preloaded samples), extract the team's review norms, and synthesize the initial per-repo review-style prompt. Use this for a cold-start repo; use continual-learning instead once the reviewer has accumulated finding outcomes.langchain-ai/open-swe10,095
- Continual LearningNightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt, and save the refined version. Use this once outcomes exist; use bootstrap-repo-analysis for a cold-start repo.langchain-ai/open-swe10,095
- Arxiv SearchSearch arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fieldslangchain-ai/deepagentsjs1,383
- Eval WriterCreate new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith integration. Use when the user asks to: (1) create an eval, (2) write an evaluation, (3) add a benchmark, (4) build an eval suite, (5) evaluate agent behaviour, (6) add test cases for a capability, or (7) implement an existing benchmark (e.g. oolong, AgentBench, SWE-bench). Trigger on phrases like 'create eval', 'new eval', 'add eval', 'benchmarklangchain-ai/deepagentsjs1,383
- File OrganizerIntelligently 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.langchain-ai/deepagentsjs1,383
- Langgraph DocsUse this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.langchain-ai/deepagentsjs1,383
- Langsmith TraceINVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.langchain-ai/deepagentsjs1,383
- Skill CreatorGuide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: create a skill, make a skill, build a skill, set up a skill, initialize a skill, scaffold a skill, update or modify an existing skill, validate a skill, learn about skill structure, understand how skills work, or get guidance on skill design patterns.langchain-ai/deepagentsjs1,383
- Web ResearchUse this skill for requests related to web research; it provides a structured approach to conducting comprehensive web researchlangchain-ai/deepagentsjs1,383
- Deep Agents CoreINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.langchain-ai/langchain-skills845
- Deep Agents MemoryINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.langchain-ai/langchain-skills845
- Deep Agents OrchestrationINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.langchain-ai/langchain-skills845
- Ecosystem PrimerINVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.langchain-ai/langchain-skills845
- Langchain DependenciesINVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.langchain-ai/langchain-skills845
- Langchain FundamentalsCreate LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.langchain-ai/langchain-skills845
- Langchain MiddlewareINVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.langchain-ai/langchain-skills845
- Langchain RagINVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).langchain-ai/langchain-skills845
- Langgraph CliINVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.langchain-ai/langchain-skills845
- Langgraph FundamentalsINVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.langchain-ai/langchain-skills845
- Langgraph Human In The LoopINVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.langchain-ai/langchain-skills845
- Langgraph PersistenceINVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.langchain-ai/langchain-skills845
- Managed Deep AgentsINVOKE THIS SKILL when creating, deploying, running, or operating Managed Deep Agents in LangSmith. Covers deepagents-cli, the Python and TypeScript SDKs, React useStream, REST fallbacks, MCP tools, interrupts, backends, and the managed agent file tree.langchain-ai/langchain-skills845
- SwarmDispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.langchain-ai/langchain-skills845
- Linkedin PostWrite a LinkedIn post based on research findings or a given topic. Use this skill when asked to create LinkedIn content, professional posts, or thought leadership pieces.langchain-ai/langgraph-101502
- Twitter PostWrite a Twitter/X post or thread based on research findings or a given topic. Use this skill when asked to create tweets, X posts, or social media threads.langchain-ai/langgraph-101502
- Deep AgentsBuild batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. Use for complex, multi-step tasks that need built-in capabilities.langchain-ai/docs368
- Docs Code SamplesUse this skill when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify snippets. Applies when extracting code blocks from documentation, creating runnable code samples, using snippet delineators, or wiring snippet output into MDX includes.langchain-ai/docs368
- LangchainBuild agents with a prebuilt architecture and integrations for any model or tool. Use when creating tool-calling agents, switching model providers, or adding structured output.langchain-ai/docs368
- LanggraphBuild stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent orchestration.langchain-ai/docs368
- Langgraph DocsFetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.langchain-ai/docs368
- LangsmithTrace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.langchain-ai/docs368
- Pandas PatternsCommon pandas and matplotlib patterns for data analysis and visualizationlangchain-ai/docs368
- Write TimestampUse when the user wants the current date and time written to a file via the bundled script inside the sandbox.langchain-ai/docs368