[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-langchain-langchain-dependencies":3,"mdc-cusc7l-key":31,"related-repo-langchain-langchain-dependencies":3385,"related-org-langchain-langchain-dependencies":3491},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":21,"repoUrl":22,"updatedAt":23,"license":24,"forks":25,"topics":26,"repo":27,"sourceUrl":29,"mdContent":30},"langchain-dependencies","manage LangChain project dependencies","INVOKE 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"langchain","LangChain","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Flangchain.png","langchain-ai",[13,17,18],{"name":14,"slug":15,"type":16},"Productivity","productivity","tag",{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},"Documentation","documentation",877,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangchain-skills","2026-04-06T18:26:31.029837",null,77,[],{"repoUrl":22,"stars":21,"forks":25,"topics":28,"description":24},[],"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangchain-skills\u002Ftree\u002FHEAD\u002Fconfig\u002Fskills\u002Flangchain-dependencies","---\nname: langchain-dependencies\ndescription: \"INVOKE 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.\"\n---\n\n\u003Coverview>\nThe LangChain ecosystem is split into focused, independently-versioned packages. Understanding which packages you need — and their version constraints — prevents incompatibilities and keeps upgrades predictable.\n\n**Key principles:**\n- **LangChain 1.0 is the current LTS release.** Always start new projects on 1.0+. LangChain 0.3 is legacy maintenance-only — do not use it for new work.\n- **langchain-core** is the shared foundation: always install it explicitly alongside any other package.\n- **langchain-community** (Python only) does NOT follow semantic versioning; pin it conservatively.\n- **LangGraph vs Deep Agents:** choose one orchestration approach based on your use case — they are alternatives, not a required stack (see [Framework Choice](#framework-choice) below).\n- Provider integrations (model, vector store, tools) are installed separately so you only pull in what you use.\n\u003C\u002Foverview>\n\n---\n\n## Environment Requirements\n\n\u003Cenvironment-requirements>\n\n| Requirement | Python | TypeScript \u002F Node |\n|-------------|--------|-------------------|\n| Runtime minimum | **Python 3.10+** | **Node.js 20+** |\n| LangChain | **1.0+ (LTS)** | **1.0+ (LTS)** |\n| LangSmith SDK | >= 0.3.0 | >= 0.3.0 |\n\n\u003C\u002Fenvironment-requirements>\n\n---\n\n## Framework Choice\n\n\u003Cframework-choice>\nPick **one** agent orchestration layer. You do not need both.\n\n| Framework | When to use | Core extra package |\n|-----------|-------------|--------------------|\n| **LangGraph** | Need fine-grained graph control, custom workflows, loops, or branching | `langgraph` \u002F `@langchain\u002Flanggraph` |\n| **Deep Agents** | Want batteries-included planning, memory, file context, and skills out of the box | `deepagents` (depends on LangGraph; installs it as a transitive dep) |\n\nBoth sit on top of `langchain` + `langchain-core` + `langsmith`.\n\u003C\u002Fframework-choice>\n\n---\n\n## Core Packages\n\n\u003Cpython-packages>\n\n### Python — always required\n\n| Package | Role | Min version |\n|---------|------|-------------|\n| `langchain` | Agents, chains, retrieval | 1.0 |\n| `langchain-core` | Base types & interfaces (peer dep) | 1.0 |\n| `langsmith` | Tracing, evaluation, datasets | 0.3.0 |\n\n### Python — orchestration (pick one)\n\n| Package | Use when | Min version |\n|---------|----------|-------------|\n| `langgraph` | Building custom graphs directly | 1.0 |\n| `deepagents` | Using the Deep Agents framework | latest |\n\n### Python — model providers (pick the one(s) you use)\n\n| Package | Provider |\n|---------|----------|\n| `langchain-openai` | OpenAI (GPT-4o, o3, …) |\n| `langchain-anthropic` | Anthropic (Claude) |\n| `langchain-google-genai` | Google (Gemini) |\n| `langchain-mistralai` | Mistral |\n| `langchain-groq` | Groq (fast inference) |\n| `langchain-cohere` | Cohere |\n| `langchain-fireworks` | Fireworks AI |\n| `langchain-together` | Together AI |\n| `langchain-huggingface` | Hugging Face Hub |\n| `langchain-ollama` | Ollama (local models) |\n| `langchain-aws` | AWS Bedrock |\n| `langchain-azure-ai` | Azure AI Foundry |\n\n### Python — common tool & retrieval packages\n\nThese packages have tighter compatibility requirements — use the latest available version unless you have a specific reason not to.\n\n| Package | Adds | Notes |\n|---------|------|-------|\n| `langchain-tavily` | Tavily web search (`TavilySearch`) | Dedicated integration package; prefer latest |\n| `langchain-text-splitters` | Text chunking utilities | Semver, keep current |\n| `langchain-community` | 1000+ integrations (fallback) | **NOT semver — pin to minor series** |\n| `faiss-cpu` | FAISS vector store (local) | Via `langchain-community`; use latest |\n| `langchain-chroma` | Chroma vector store | Dedicated integration package; prefer latest |\n| `langchain-pinecone` | Pinecone vector store | Dedicated integration package; prefer latest |\n| `langchain-qdrant` | Qdrant vector store | Dedicated integration package; prefer latest |\n| `langchain-weaviate` | Weaviate vector store | Dedicated integration package; prefer latest |\n| `langsmith[pytest]` | pytest plugin for LangSmith | Requires langsmith >= 0.3.4 |\n\n> **langchain-community stability note:** This package is NOT on semantic versioning. Minor releases can contain breaking changes. Prefer dedicated integration packages (e.g. `langchain-chroma`, `langchain-tavily`) when they exist — they are independently versioned and more stable.\n\n\u003C\u002Fpython-packages>\n\n\u003Ctypescript-packages>\n\n### TypeScript — always required\n\n| Package | Role | Min version |\n|---------|------|-------------|\n| `@langchain\u002Fcore` | Base types & interfaces (peer dep) | 1.0 |\n| `langchain` | Agents, chains, retrieval | 1.0 |\n| `langsmith` | Tracing, evaluation, datasets | 0.3.0 |\n\n### TypeScript — orchestration (pick one)\n\n| Package | Use when | Min version |\n|---------|----------|-------------|\n| `@langchain\u002Flanggraph` | Building custom graphs directly | 1.0 |\n| `deepagents` | Using the Deep Agents framework | latest |\n\n### TypeScript — model providers (pick the one(s) you use)\n\n| Package | Provider |\n|---------|----------|\n| `@langchain\u002Fopenai` | OpenAI (GPT-4o, o3, …) |\n| `@langchain\u002Fanthropic` | Anthropic (Claude) |\n| `@langchain\u002Fgoogle-genai` | Google (Gemini) |\n| `@langchain\u002Fmistralai` | Mistral |\n| `@langchain\u002Fgroq` | Groq (fast inference) |\n| `@langchain\u002Fcohere` | Cohere |\n| `@langchain\u002Faws` | AWS Bedrock |\n| `@langchain\u002Fazure-openai` | Azure OpenAI |\n| `@langchain\u002Follama` | Ollama (local models) |\n\n### TypeScript — common tool & retrieval packages\n\n| Package | Adds | Notes |\n|---------|------|-------|\n| `@langchain\u002Ftavily` | Tavily web search (`TavilySearch`) | Dedicated integration package; prefer latest |\n| `@langchain\u002Fcommunity` | Broad set of community integrations | Use sparingly; prefer dedicated packages |\n| `@langchain\u002Fpinecone` | Pinecone vector store | Dedicated integration package; prefer latest |\n| `@langchain\u002Fqdrant` | Qdrant vector store | Dedicated integration package; prefer latest |\n| `@langchain\u002Fweaviate` | Weaviate vector store | Dedicated integration package; prefer latest |\n\n> **`@langchain\u002Fcore` must be installed explicitly** in yarn workspaces and monorepos — it is a peer dependency and will not always be hoisted automatically.\n\n\u003C\u002Ftypescript-packages>\n\n---\n\n## Minimal Project Templates\n\n\u003Cex-langgraph-python>\n\u003Cpython>\nMinimal dependency set for a LangGraph project (provider-agnostic).\n\n```\n# requirements.txt\nlangchain>=1.0,\u003C2.0\nlangchain-core>=1.0,\u003C2.0\nlanggraph>=1.0,\u003C2.0\nlangsmith>=0.3.0\n\n# Add your model provider, e.g.:\n# langchain-openai\n# langchain-anthropic\n# langchain-google-genai\n```\n\u003C\u002Fpython>\n\u003C\u002Fex-langgraph-python>\n\n\u003Cex-langgraph-typescript>\n\u003Ctypescript>\nMinimal package.json dependencies for a LangGraph project (provider-agnostic).\n\n```json\n{\n  \"dependencies\": {\n    \"@langchain\u002Fcore\": \"^1.0.0\",\n    \"langchain\": \"^1.0.0\",\n    \"@langchain\u002Flanggraph\": \"^1.0.0\",\n    \"langsmith\": \"^0.3.0\"\n  }\n}\n```\n\u003C\u002Ftypescript>\n\u003C\u002Fex-langgraph-typescript>\n\n\u003Cex-deepagents-python>\n\u003Cpython>\nMinimal dependency set for a Deep Agents project (provider-agnostic).\n\n```\n# requirements.txt\ndeepagents            # bundles langgraph internally\nlangchain>=1.0,\u003C2.0\nlangchain-core>=1.0,\u003C2.0\nlangsmith>=0.3.0\n\n# Add your model provider, e.g.:\n# langchain-anthropic\n# langchain-openai\n```\n\u003C\u002Fpython>\n\u003C\u002Fex-deepagents-python>\n\n\u003Cex-deepagents-typescript>\n\u003Ctypescript>\nMinimal package.json dependencies for a Deep Agents project (provider-agnostic).\n\n```json\n{\n  \"dependencies\": {\n    \"deepagents\": \"latest\",\n    \"@langchain\u002Fcore\": \"^1.0.0\",\n    \"langchain\": \"^1.0.0\",\n    \"langsmith\": \"^0.3.0\"\n  }\n}\n```\n\u003C\u002Ftypescript>\n\u003C\u002Fex-deepagents-typescript>\n\n\u003Cex-with-tools-python>\n\u003Cpython>\nAdding Tavily search and a vector store to a LangGraph project.\n\n```\n# requirements.txt\nlangchain>=1.0,\u003C2.0\nlangchain-core>=1.0,\u003C2.0\nlanggraph>=1.0,\u003C2.0\nlangsmith>=0.3.0\n\n# Web search\nlangchain-tavily          # use latest; partner package, semver\n\n# Vector store — pick one:\nlangchain-chroma          # use latest; partner package, semver\n# langchain-pinecone      # use latest; partner package, semver\n# langchain-qdrant        # use latest; partner package, semver\n\n# Text processing\nlangchain-text-splitters  # use latest; semver\n\n# Your model provider:\n# langchain-openai \u002F langchain-anthropic \u002F etc.\n```\n\u003C\u002Fpython>\n\u003C\u002Fex-with-tools-python>\n\n\u003Cex-with-tools-typescript>\n\u003Ctypescript>\nAdding Tavily search and a vector store to a LangGraph project.\n\n```json\n{\n  \"dependencies\": {\n    \"@langchain\u002Fcore\": \"^1.0.0\",\n    \"langchain\": \"^1.0.0\",\n    \"@langchain\u002Flanggraph\": \"^1.0.0\",\n    \"langsmith\": \"^0.3.0\",\n    \"@langchain\u002Ftavily\": \"latest\",\n    \"@langchain\u002Fpinecone\": \"latest\"\n  }\n}\n```\n\u003C\u002Ftypescript>\n\u003C\u002Fex-with-tools-typescript>\n\n---\n\n## Versioning Policy & Upgrade Strategy\n\n\u003Cversioning-policy>\n\n| Package group | Versioning | Safe upgrade strategy |\n|---------------|------------|-----------------------|\n| `langchain`, `langchain-core` | Strict semver (1.0 LTS) | Allow minor: `>=1.0,\u003C2.0` |\n| `langgraph` \u002F `@langchain\u002Flanggraph` | Strict semver (v1 LTS) | Allow minor: `>=1.0,\u003C2.0` |\n| `langsmith` | Strict semver | Allow minor: `>=0.3.0` |\n| Dedicated integration packages (e.g. `langchain-tavily`, `langchain-chroma`) | Independently versioned | Allow minor updates; use latest |\n| `langchain-community` | **NOT semver** | Pin exact minor: `>=0.4.0,\u003C0.5.0` |\n| `deepagents` | Follow project releases | Pin to tested version in production |\n\n**Breaking changes only happen in major versions** (1.x → 2.x) for all semver-compliant packages. Deprecated features remain functional across the entire 1.x series with warnings.\n\n**Prefer dedicated integration packages over langchain-community.** When a dedicated package exists (e.g. `langchain-chroma` instead of `langchain-community`'s Chroma integration), use it — dedicated packages are independently versioned and better tested.\n\n**Community tool packages (Tavily, vector stores, etc.) should be kept at latest** unless your project requires a locked environment. These packages frequently release compatibility fixes alongside LangChain\u002FLangGraph updates.\n\n\u003C\u002Fversioning-policy>\n\n---\n\n## Environment Variables\n\n\u003Cenvironment-variables>\nAll keys are read from the environment at runtime. Set only the keys for services you actually use.\n\n```bash\n# LangSmith (always recommended for observability)\nLANGSMITH_API_KEY=\u003Cyour-key>\nLANGSMITH_PROJECT=\u003Cproject-name>   # optional, defaults to \"default\"\n\n# Model provider — set the one(s) you use\nOPENAI_API_KEY=\u003Cyour-key>\nANTHROPIC_API_KEY=\u003Cyour-key>\nGOOGLE_API_KEY=\u003Cyour-key>\nMISTRAL_API_KEY=\u003Cyour-key>\nGROQ_API_KEY=\u003Cyour-key>\nCOHERE_API_KEY=\u003Cyour-key>\nFIREWORKS_API_KEY=\u003Cyour-key>\nTOGETHER_API_KEY=\u003Cyour-key>\nHUGGINGFACEHUB_API_TOKEN=\u003Cyour-key>\n\n# Common tool\u002Fretrieval services\nTAVILY_API_KEY=\u003Cyour-key>          # for Tavily search\nPINECONE_API_KEY=\u003Cyour-key>        # for Pinecone\n```\n\u003C\u002Fenvironment-variables>\n\n---\n\n## Common Mistakes\n\n\u003Cfix-legacy-version>\nNever start a new project on LangChain 0.3. It is maintenance-only until December 2026.\n\n```\n# WRONG: legacy, no new features, security patches only\nlangchain>=0.3,\u003C0.4\n\n# CORRECT: LangChain 1.0 LTS\nlangchain>=1.0,\u003C2.0\n```\n\u003C\u002Ffix-legacy-version>\n\n\u003Cfix-community-unpinned>\n`langchain-community` can break on minor version bumps — it does not follow semver.\n\n```\n# WRONG: allows minor-version updates that may be breaking\nlangchain-community>=0.4\n\n# CORRECT: pin to exact minor series\nlangchain-community>=0.4.0,\u003C0.5.0\n```\nAlso consider switching to the equivalent dedicated integration package if one exists (e.g. `langchain-chroma` instead of the community Chroma integration).\n\u003C\u002Ffix-community-unpinned>\n\n\u003Cfix-community-tool-outdated>\nCommunity tool packages like `langchain-tavily` and vector store integrations release compatibility fixes alongside LangChain updates. Using an old pinned version can cause import errors or broken tool schemas.\n\n```\n# RISKY: old pin may be incompatible with LangChain 1.0\nlangchain-tavily==0.0.1\n\n# BETTER: allow latest within the current major\nlangchain-tavily>=0.1\n```\n\u003C\u002Ffix-community-tool-outdated>\n\n\u003Cfix-community-import-deprecated>\nMany tools that used to live in `langchain-community` now have dedicated packages with updated import paths. Always prefer the dedicated package import.\n\n```python\n# WRONG — deprecated community import path\nfrom langchain_community.tools.tavily_search import TavilySearchResults\nfrom langchain_community.tools import WikipediaQueryRun\nfrom langchain_community.vectorstores import Chroma\nfrom langchain_community.vectorstores import Pinecone\n\n# CORRECT — use dedicated package imports\nfrom langchain_tavily import TavilySearch                  # pip: langchain-tavily (TavilySearchResults is deprecated)\nfrom langchain_community.tools import WikipediaQueryRun  # no dedicated pkg yet\nfrom langchain_chroma import Chroma                       # pip: langchain-chroma\nfrom langchain_pinecone import PineconeVectorStore        # pip: langchain-pinecone\n```\n\nTo find the current canonical import for any integration, search the integrations directory:\nhttps:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fintegrations\u002Ftools\u002F\n\nEach entry shows the correct package and import path. If a dedicated package exists, use it — the community path may still work but is considered legacy.\n\u003C\u002Ffix-community-import-deprecated>\n\n\u003Cfix-core-not-installed>\n\u003Ctypescript>\n`@langchain\u002Fcore` is a peer dependency — it must be in your package.json, especially in monorepos.\n\n```json\n\u002F\u002F WRONG: missing @langchain\u002Fcore (breaks in yarn workspaces \u002F strict hoisting)\n{\n  \"dependencies\": {\n    \"@langchain\u002Flanggraph\": \"^1.0.0\"\n  }\n}\n\n\u002F\u002F CORRECT: always list @langchain\u002Fcore explicitly\n{\n  \"dependencies\": {\n    \"@langchain\u002Fcore\": \"^1.0.0\",\n    \"@langchain\u002Flanggraph\": \"^1.0.0\"\n  }\n}\n```\n\u003C\u002Ftypescript>\n\u003C\u002Ffix-core-not-installed>\n\n\u003Cfix-python-version>\n\u003Cpython>\nPython 3.9 and below are not supported by LangChain 1.0.\n\n```python\n# Verify before installing\nimport sys\nassert sys.version_info >= (3, 10), \"Python 3.10+ required for LangChain 1.0\"\n```\n\u003C\u002Fpython>\n\u003C\u002Ffix-python-version>\n\n\u003Cfix-node-version>\n\u003Ctypescript>\nNode.js below 20 is not officially supported.\n\n```bash\n# Verify before installing\nnode --version   # must be v20.x or higher\n```\n\u003C\u002Ftypescript>\n\u003C\u002Ffix-node-version>\n",{"data":32,"body":33},{"name":4,"description":6},{"type":34,"children":35},"root",[36,3379],{"type":37,"tag":38,"props":39,"children":40},"element","overview",{},[41,44,54,113,117,124,223,226,231],{"type":42,"value":43},"text","\nThe LangChain ecosystem is split into focused, independently-versioned packages. 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Set only the keys for services you actually use.\n",{"type":37,"tag":1545,"props":2552,"children":2556},{"className":2553,"code":2554,"language":2555,"meta":1553,"style":1553},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","# LangSmith (always recommended for observability)\nLANGSMITH_API_KEY=\u003Cyour-key>\nLANGSMITH_PROJECT=\u003Cproject-name>   # optional, defaults to \"default\"\n\n# Model provider — set the one(s) you use\nOPENAI_API_KEY=\u003Cyour-key>\nANTHROPIC_API_KEY=\u003Cyour-key>\nGOOGLE_API_KEY=\u003Cyour-key>\nMISTRAL_API_KEY=\u003Cyour-key>\nGROQ_API_KEY=\u003Cyour-key>\nCOHERE_API_KEY=\u003Cyour-key>\nFIREWORKS_API_KEY=\u003Cyour-key>\nTOGETHER_API_KEY=\u003Cyour-key>\nHUGGINGFACEHUB_API_TOKEN=\u003Cyour-key>\n\n# Common tool\u002Fretrieval services\nTAVILY_API_KEY=\u003Cyour-key>          # for Tavily search\nPINECONE_API_KEY=\u003Cyour-key>        # for 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2835},{"style":2565},[2836],{"type":42,"value":2837},"# Common tool\u002Fretrieval services\n",{"type":37,"tag":1576,"props":2839,"children":2841},{"class":1578,"line":2840},17,[2842,2847,2851,2855,2859],{"type":37,"tag":1576,"props":2843,"children":2844},{"style":2574},[2845],{"type":42,"value":2846},"TAVILY_API_KEY",{"type":37,"tag":1576,"props":2848,"children":2849},{"style":1583},[2850],{"type":42,"value":2582},{"type":37,"tag":1576,"props":2852,"children":2853},{"style":1646},[2854],{"type":42,"value":2587},{"type":37,"tag":1576,"props":2856,"children":2857},{"style":1583},[2858],{"type":42,"value":2614},{"type":37,"tag":1576,"props":2860,"children":2861},{"style":2565},[2862],{"type":42,"value":2863},"          # for Tavily search\n",{"type":37,"tag":1576,"props":2865,"children":2867},{"class":1578,"line":2866},18,[2868,2873,2877,2881,2885],{"type":37,"tag":1576,"props":2869,"children":2870},{"style":2574},[2871],{"type":42,"value":2872},"PINECONE_API_KEY",{"type":37,"tag":1576,"props":2874,"children":2875},{"style":1583},[2876],{"type":42,"value":2582},{"type":37,"tag":1576,"props":2878,"children":2879},{"style":1646},[2880],{"type":42,"value":2587},{"type":37,"tag":1576,"props":2882,"children":2883},{"style":1583},[2884],{"type":42,"value":2614},{"type":37,"tag":1576,"props":2886,"children":2887},{"style":2565},[2888],{"type":42,"value":2889},"        # for Pinecone\n",{"type":37,"tag":114,"props":2891,"children":2892},{},[],{"type":37,"tag":118,"props":2894,"children":2896},{"id":2895},"common-mistakes",[2897],{"type":42,"value":2898},"Common Mistakes",{"type":37,"tag":2900,"props":2901,"children":2902},"fix-legacy-version",{},[2903,2905],{"type":42,"value":2904},"\nNever start a new project on LangChain 0.3. It is maintenance-only until December 2026.\n",{"type":37,"tag":1545,"props":2906,"children":2909},{"className":2907,"code":2908,"language":42},[1548],"# WRONG: legacy, no new features, security patches only\nlangchain>=0.3,\u003C0.4\n\n# CORRECT: LangChain 1.0 LTS\nlangchain>=1.0,\u003C2.0\n",[2910],{"type":37,"tag":283,"props":2911,"children":2912},{"__ignoreMap":1553},[2913],{"type":42,"value":2908},{"type":37,"tag":2915,"props":2916,"children":2917},"fix-community-unpinned",{},[2918,2920,2929,2941,2956],{"type":42,"value":2919},"\n`langchain-community` can break on minor version bumps — it does not follow semver.\n",{"type":37,"tag":1545,"props":2921,"children":2924},{"className":2922,"code":2923,"language":42},[1548],"# WRONG: allows minor-version updates that may be breaking\nlangchain-community>=0.4\n\n# CORRECT: pin to exact minor series\nlangchain-community>=0.4.0,\u003C0.5.0\n",[2925],{"type":37,"tag":283,"props":2926,"children":2927},{"__ignoreMap":1553},[2928],{"type":42,"value":2923},{"type":37,"tag":45,"props":2930,"children":2931},{},[2932,2934,2939],{"type":42,"value":2933},"Also consider switching to the equivalent dedicated integration package if one exists (e.g. ",{"type":37,"tag":283,"props":2935,"children":2937},{"className":2936},[],[2938],{"type":42,"value":915},{"type":42,"value":2940}," instead of the community Chroma integration).\n",{"type":37,"tag":2942,"props":2943,"children":2944},"fix-community-tool-outdated",{},[2945,2947],{"type":42,"value":2946},"\nCommunity tool packages like `langchain-tavily` and vector store integrations release compatibility fixes alongside LangChain updates. Using an old pinned version can cause import errors or broken tool schemas.\n",{"type":37,"tag":1545,"props":2948,"children":2951},{"className":2949,"code":2950,"language":42},[1548],"# RISKY: old pin may be incompatible with LangChain 1.0\nlangchain-tavily==0.0.1\n\n# BETTER: allow latest within the current major\nlangchain-tavily>=0.1\n",[2952],{"type":37,"tag":283,"props":2953,"children":2954},{"__ignoreMap":1553},[2955],{"type":42,"value":2950},{"type":37,"tag":2957,"props":2958,"children":2959},"fix-community-import-deprecated",{},[2960,2962,3057,3069,3074,3298,3338],{"type":42,"value":2961},"\nMany tools that used to live in `langchain-community` now have dedicated packages with updated import paths. Always prefer the dedicated package import.\n",{"type":37,"tag":1545,"props":2963,"children":2966},{"className":2964,"code":2965,"language":1539,"meta":1553,"style":1553},"language-python shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","# WRONG — deprecated community import path\nfrom langchain_community.tools.tavily_search import TavilySearchResults\nfrom langchain_community.tools import WikipediaQueryRun\nfrom langchain_community.vectorstores import Chroma\nfrom langchain_community.vectorstores import Pinecone\n\n# CORRECT — use dedicated package imports\nfrom langchain_tavily import TavilySearch                  # pip: langchain-tavily (TavilySearchResults is deprecated)\nfrom langchain_community.tools import WikipediaQueryRun  # no dedicated pkg yet\nfrom langchain_chroma import Chroma                       # pip: langchain-chroma\nfrom langchain_pinecone import PineconeVectorStore        # pip: langchain-pinecone\n",[2967],{"type":37,"tag":283,"props":2968,"children":2969},{"__ignoreMap":1553},[2970,2978,2986,2994,3002,3010,3017,3025,3033,3041,3049],{"type":37,"tag":1576,"props":2971,"children":2972},{"class":1578,"line":1579},[2973],{"type":37,"tag":1576,"props":2974,"children":2975},{},[2976],{"type":42,"value":2977},"# WRONG — deprecated community import path\n",{"type":37,"tag":1576,"props":2979,"children":2980},{"class":1578,"line":1589},[2981],{"type":37,"tag":1576,"props":2982,"children":2983},{},[2984],{"type":42,"value":2985},"from langchain_community.tools.tavily_search import TavilySearchResults\n",{"type":37,"tag":1576,"props":2987,"children":2988},{"class":1578,"line":1619},[2989],{"type":37,"tag":1576,"props":2990,"children":2991},{},[2992],{"type":42,"value":2993},"from langchain_community.tools import WikipediaQueryRun\n",{"type":37,"tag":1576,"props":2995,"children":2996},{"class":1578,"line":1661},[2997],{"type":37,"tag":1576,"props":2998,"children":2999},{},[3000],{"type":42,"value":3001},"from langchain_community.vectorstores import Chroma\n",{"type":37,"tag":1576,"props":3003,"children":3004},{"class":1578,"line":1697},[3005],{"type":37,"tag":1576,"props":3006,"children":3007},{},[3008],{"type":42,"value":3009},"from langchain_community.vectorstores import Pinecone\n",{"type":37,"tag":1576,"props":3011,"children":3012},{"class":1578,"line":1733},[3013],{"type":37,"tag":1576,"props":3014,"children":3015},{"emptyLinePlaceholder":2625},[3016],{"type":42,"value":2628},{"type":37,"tag":1576,"props":3018,"children":3019},{"class":1578,"line":1767},[3020],{"type":37,"tag":1576,"props":3021,"children":3022},{},[3023],{"type":42,"value":3024},"# CORRECT — use dedicated package imports\n",{"type":37,"tag":1576,"props":3026,"children":3027},{"class":1578,"line":1776},[3028],{"type":37,"tag":1576,"props":3029,"children":3030},{},[3031],{"type":42,"value":3032},"from langchain_tavily import TavilySearch                  # pip: langchain-tavily (TavilySearchResults is deprecated)\n",{"type":37,"tag":1576,"props":3034,"children":3035},{"class":1578,"line":2268},[3036],{"type":37,"tag":1576,"props":3037,"children":3038},{},[3039],{"type":42,"value":3040},"from langchain_community.tools import WikipediaQueryRun  # no dedicated pkg yet\n",{"type":37,"tag":1576,"props":3042,"children":3043},{"class":1578,"line":2276},[3044],{"type":37,"tag":1576,"props":3045,"children":3046},{},[3047],{"type":42,"value":3048},"from langchain_chroma import Chroma                       # pip: langchain-chroma\n",{"type":37,"tag":1576,"props":3050,"children":3051},{"class":1578,"line":2739},[3052],{"type":37,"tag":1576,"props":3053,"children":3054},{},[3055],{"type":42,"value":3056},"from langchain_pinecone import PineconeVectorStore        # pip: langchain-pinecone\n",{"type":37,"tag":45,"props":3058,"children":3059},{},[3060,3062],{"type":42,"value":3061},"To find the current canonical import for any integration, search the integrations directory:\n",{"type":37,"tag":100,"props":3063,"children":3067},{"href":3064,"rel":3065},"https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fintegrations\u002Ftools\u002F",[3066],"nofollow",[3068],{"type":42,"value":3064},{"type":37,"tag":45,"props":3070,"children":3071},{},[3072],{"type":42,"value":3073},"Each entry shows the correct package and import path. If a dedicated package exists, use it — the community path may still work but is considered legacy.\n",{"type":37,"tag":3075,"props":3076,"children":3077},"fix-core-not-installed",{},[3078],{"type":37,"tag":1561,"props":3079,"children":3080},{},[3081,3083],{"type":42,"value":3082},"\n`@langchain\u002Fcore` is a peer dependency — it must be in your package.json, especially in monorepos.\n",{"type":37,"tag":1545,"props":3084,"children":3086},{"className":1568,"code":3085,"language":1570,"meta":1553,"style":1553},"\u002F\u002F WRONG: missing @langchain\u002Fcore (breaks in yarn workspaces \u002F strict hoisting)\n{\n  \"dependencies\": {\n    \"@langchain\u002Flanggraph\": \"^1.0.0\"\n  }\n}\n\n\u002F\u002F CORRECT: always list @langchain\u002Fcore explicitly\n{\n  \"dependencies\": {\n    \"@langchain\u002Fcore\": \"^1.0.0\",\n    \"@langchain\u002Flanggraph\": \"^1.0.0\"\n  }\n}\n",[3087],{"type":37,"tag":283,"props":3088,"children":3089},{"__ignoreMap":1553},[3090,3098,3105,3128,3159,3166,3173,3180,3188,3195,3218,3253,3284,3291],{"type":37,"tag":1576,"props":3091,"children":3092},{"class":1578,"line":1579},[3093],{"type":37,"tag":1576,"props":3094,"children":3095},{"style":2565},[3096],{"type":42,"value":3097},"\u002F\u002F WRONG: missing @langchain\u002Fcore (breaks in yarn workspaces \u002F strict hoisting)\n",{"type":37,"tag":1576,"props":3099,"children":3100},{"class":1578,"line":1589},[3101],{"type":37,"tag":1576,"props":3102,"children":3103},{"style":1583},[3104],{"type":42,"value":1586},{"type":37,"tag":1576,"props":3106,"children":3107},{"class":1578,"line":1619},[3108,3112,3116,3120,3124],{"type":37,"tag":1576,"props":3109,"children":3110},{"style":1583},[3111],{"type":42,"value":1595},{"type":37,"tag":1576,"props":3113,"children":3114},{"style":1598},[3115],{"type":42,"value":1601},{"type":37,"tag":1576,"props":3117,"children":3118},{"style":1583},[3119],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3121,"children":3122},{"style":1583},[3123],{"type":42,"value":1611},{"type":37,"tag":1576,"props":3125,"children":3126},{"style":1583},[3127],{"type":42,"value":1616},{"type":37,"tag":1576,"props":3129,"children":3130},{"class":1578,"line":1661},[3131,3135,3139,3143,3147,3151,3155],{"type":37,"tag":1576,"props":3132,"children":3133},{"style":1583},[3134],{"type":42,"value":1625},{"type":37,"tag":1576,"props":3136,"children":3137},{"style":1628},[3138],{"type":42,"value":296},{"type":37,"tag":1576,"props":3140,"children":3141},{"style":1583},[3142],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3144,"children":3145},{"style":1583},[3146],{"type":42,"value":1611},{"type":37,"tag":1576,"props":3148,"children":3149},{"style":1583},[3150],{"type":42,"value":1643},{"type":37,"tag":1576,"props":3152,"children":3153},{"style":1646},[3154],{"type":42,"value":1649},{"type":37,"tag":1576,"props":3156,"children":3157},{"style":1583},[3158],{"type":42,"value":1764},{"type":37,"tag":1576,"props":3160,"children":3161},{"class":1578,"line":1697},[3162],{"type":37,"tag":1576,"props":3163,"children":3164},{"style":1583},[3165],{"type":42,"value":1773},{"type":37,"tag":1576,"props":3167,"children":3168},{"class":1578,"line":1733},[3169],{"type":37,"tag":1576,"props":3170,"children":3171},{"style":1583},[3172],{"type":42,"value":1782},{"type":37,"tag":1576,"props":3174,"children":3175},{"class":1578,"line":1767},[3176],{"type":37,"tag":1576,"props":3177,"children":3178},{"emptyLinePlaceholder":2625},[3179],{"type":42,"value":2628},{"type":37,"tag":1576,"props":3181,"children":3182},{"class":1578,"line":1776},[3183],{"type":37,"tag":1576,"props":3184,"children":3185},{"style":2565},[3186],{"type":42,"value":3187},"\u002F\u002F CORRECT: always list @langchain\u002Fcore explicitly\n",{"type":37,"tag":1576,"props":3189,"children":3190},{"class":1578,"line":2268},[3191],{"type":37,"tag":1576,"props":3192,"children":3193},{"style":1583},[3194],{"type":42,"value":1586},{"type":37,"tag":1576,"props":3196,"children":3197},{"class":1578,"line":2276},[3198,3202,3206,3210,3214],{"type":37,"tag":1576,"props":3199,"children":3200},{"style":1583},[3201],{"type":42,"value":1595},{"type":37,"tag":1576,"props":3203,"children":3204},{"style":1598},[3205],{"type":42,"value":1601},{"type":37,"tag":1576,"props":3207,"children":3208},{"style":1583},[3209],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3211,"children":3212},{"style":1583},[3213],{"type":42,"value":1611},{"type":37,"tag":1576,"props":3215,"children":3216},{"style":1583},[3217],{"type":42,"value":1616},{"type":37,"tag":1576,"props":3219,"children":3220},{"class":1578,"line":2739},[3221,3225,3229,3233,3237,3241,3245,3249],{"type":37,"tag":1576,"props":3222,"children":3223},{"style":1583},[3224],{"type":42,"value":1625},{"type":37,"tag":1576,"props":3226,"children":3227},{"style":1628},[3228],{"type":42,"value":1083},{"type":37,"tag":1576,"props":3230,"children":3231},{"style":1583},[3232],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3234,"children":3235},{"style":1583},[3236],{"type":42,"value":1611},{"type":37,"tag":1576,"props":3238,"children":3239},{"style":1583},[3240],{"type":42,"value":1643},{"type":37,"tag":1576,"props":3242,"children":3243},{"style":1646},[3244],{"type":42,"value":1649},{"type":37,"tag":1576,"props":3246,"children":3247},{"style":1583},[3248],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3250,"children":3251},{"style":1583},[3252],{"type":42,"value":1658},{"type":37,"tag":1576,"props":3254,"children":3255},{"class":1578,"line":2760},[3256,3260,3264,3268,3272,3276,3280],{"type":37,"tag":1576,"props":3257,"children":3258},{"style":1583},[3259],{"type":42,"value":1625},{"type":37,"tag":1576,"props":3261,"children":3262},{"style":1628},[3263],{"type":42,"value":296},{"type":37,"tag":1576,"props":3265,"children":3266},{"style":1583},[3267],{"type":42,"value":1606},{"type":37,"tag":1576,"props":3269,"children":3270},{"style":1583},[3271],{"type":42,"value":1611},{"type":37,"tag":1576,"props":3273,"children":3274},{"style":1583},[3275],{"type":42,"value":1643},{"type":37,"tag":1576,"props":3277,"children":3278},{"style":1646},[3279],{"type":42,"value":1649},{"type":37,"tag":1576,"props":3281,"children":3282},{"style":1583},[3283],{"type":42,"value":1764},{"type":37,"tag":1576,"props":3285,"children":3286},{"class":1578,"line":2781},[3287],{"type":37,"tag":1576,"props":3288,"children":3289},{"style":1583},[3290],{"type":42,"value":1773},{"type":37,"tag":1576,"props":3292,"children":3293},{"class":1578,"line":2802},[3294],{"type":37,"tag":1576,"props":3295,"children":3296},{"style":1583},[3297],{"type":42,"value":1782},{"type":37,"tag":3299,"props":3300,"children":3301},"fix-python-version",{},[3302],{"type":37,"tag":1539,"props":3303,"children":3304},{},[3305,3307],{"type":42,"value":3306},"\nPython 3.9 and below are not supported by LangChain 1.0.\n",{"type":37,"tag":1545,"props":3308,"children":3310},{"className":2964,"code":3309,"language":1539,"meta":1553,"style":1553},"# Verify before installing\nimport sys\nassert sys.version_info >= (3, 10), \"Python 3.10+ required for LangChain 1.0\"\n",[3311],{"type":37,"tag":283,"props":3312,"children":3313},{"__ignoreMap":1553},[3314,3322,3330],{"type":37,"tag":1576,"props":3315,"children":3316},{"class":1578,"line":1579},[3317],{"type":37,"tag":1576,"props":3318,"children":3319},{},[3320],{"type":42,"value":3321},"# Verify before installing\n",{"type":37,"tag":1576,"props":3323,"children":3324},{"class":1578,"line":1589},[3325],{"type":37,"tag":1576,"props":3326,"children":3327},{},[3328],{"type":42,"value":3329},"import sys\n",{"type":37,"tag":1576,"props":3331,"children":3332},{"class":1578,"line":1619},[3333],{"type":37,"tag":1576,"props":3334,"children":3335},{},[3336],{"type":42,"value":3337},"assert sys.version_info >= (3, 10), \"Python 3.10+ required for LangChain 1.0\"\n",{"type":37,"tag":3339,"props":3340,"children":3341},"fix-node-version",{},[3342],{"type":37,"tag":1561,"props":3343,"children":3344},{},[3345,3347],{"type":42,"value":3346},"\nNode.js below 20 is not officially supported.\n",{"type":37,"tag":1545,"props":3348,"children":3350},{"className":2553,"code":3349,"language":2555,"meta":1553,"style":1553},"# Verify before installing\nnode --version   # must be v20.x or higher\n",[3351],{"type":37,"tag":283,"props":3352,"children":3353},{"__ignoreMap":1553},[3354,3361],{"type":37,"tag":1576,"props":3355,"children":3356},{"class":1578,"line":1579},[3357],{"type":37,"tag":1576,"props":3358,"children":3359},{"style":2565},[3360],{"type":42,"value":3321},{"type":37,"tag":1576,"props":3362,"children":3363},{"class":1578,"line":1589},[3364,3369,3374],{"type":37,"tag":1576,"props":3365,"children":3366},{"style":1628},[3367],{"type":42,"value":3368},"node",{"type":37,"tag":1576,"props":3370,"children":3371},{"style":1646},[3372],{"type":42,"value":3373}," --version",{"type":37,"tag":1576,"props":3375,"children":3376},{"style":2565},[3377],{"type":42,"value":3378},"   # must be v20.x or higher\n",{"type":37,"tag":3380,"props":3381,"children":3382},"style",{},[3383],{"type":42,"value":3384},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":3386,"total":3490},[3387,3404,3419,3437,3447,3458,3472],{"slug":3388,"name":3388,"fn":3389,"description":3390,"org":3391,"tags":3392,"stars":21,"repoUrl":22,"updatedAt":3403},"deep-agents-core","build applications with LangChain Deep Agents","INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3393,3396,3399,3400],{"name":3394,"slug":3395,"type":16},"Agents","agents",{"name":3397,"slug":3398,"type":16},"Architecture","architecture",{"name":9,"slug":8,"type":16},{"name":3401,"slug":3402,"type":16},"LLM","llm","2026-04-06T18:26:24.822592",{"slug":3405,"name":3405,"fn":3406,"description":3407,"org":3408,"tags":3409,"stars":21,"repoUrl":22,"updatedAt":3418},"deep-agents-memory","implement memory and persistence for Deep Agents","INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3410,3411,3412,3415],{"name":3394,"slug":3395,"type":16},{"name":9,"slug":8,"type":16},{"name":3413,"slug":3414,"type":16},"Memory","memory",{"name":3416,"slug":3417,"type":16},"Storage","storage","2026-04-06T18:26:26.065654",{"slug":3420,"name":3420,"fn":3421,"description":3422,"org":3423,"tags":3424,"stars":21,"repoUrl":22,"updatedAt":3436},"deep-agents-orchestration","orchestrate subagents and tasks in Deep Agents","INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3425,3426,3429,3430,3433],{"name":3394,"slug":3395,"type":16},{"name":3427,"slug":3428,"type":16},"Approvals","approvals",{"name":9,"slug":8,"type":16},{"name":3431,"slug":3432,"type":16},"Multi-Agent","multi-agent",{"name":3434,"slug":3435,"type":16},"Workflow Automation","workflow-automation","2026-04-06T18:26:32.280463",{"slug":3438,"name":3438,"fn":3439,"description":3440,"org":3441,"tags":3442,"stars":21,"repoUrl":22,"updatedAt":3446},"deepagents-python-quickstart","scaffold local Deep Agents","Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3443,3444,3445],{"name":3394,"slug":3395,"type":16},{"name":9,"slug":8,"type":16},{"name":149,"slug":1539,"type":16},"2026-07-24T06:09:00.291108",{"slug":3448,"name":3448,"fn":3449,"description":3450,"org":3451,"tags":3452,"stars":21,"repoUrl":22,"updatedAt":3457},"deepagents-typescript-quickstart","build Deep Agents in TypeScript","Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3453,3454,3455],{"name":3394,"slug":3395,"type":16},{"name":9,"slug":8,"type":16},{"name":3456,"slug":1561,"type":16},"TypeScript","2026-07-24T06:09:00.673714",{"slug":3459,"name":3459,"fn":3460,"description":3461,"org":3462,"tags":3463,"stars":21,"repoUrl":22,"updatedAt":3471},"ecosystem-primer","select frameworks for LangChain and LangGraph agents","INVOKE FIRST for any LangChain \u002F LangGraph \u002F 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3464,3465,3468,3469,3470],{"name":3394,"slug":3395,"type":16},{"name":3466,"slug":3467,"type":16},"AI Infrastructure","ai-infrastructure",{"name":3397,"slug":3398,"type":16},{"name":9,"slug":8,"type":16},{"name":273,"slug":288,"type":16},"2026-07-24T05:42:48.348966",{"slug":3473,"name":3473,"fn":3474,"description":3475,"org":3476,"tags":3477,"stars":21,"repoUrl":22,"updatedAt":3489},"eval-engineering","create and audit Harbor agent evals","Iteratively inspect an agent repository and optional user-provided traces, interview the user, and create, run, and audit Harbor evals one at a time. Use for agent evals, Harbor tasks, benchmark cases, verifier design, or controlled agent environments.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3478,3479,3482,3485,3486],{"name":3394,"slug":3395,"type":16},{"name":3480,"slug":3481,"type":16},"Code Analysis","code-analysis",{"name":3483,"slug":3484,"type":16},"Evals","evals",{"name":9,"slug":8,"type":16},{"name":3487,"slug":3488,"type":16},"Testing","testing","2026-07-31T05:53:29.552458",22,{"items":3492,"total":3661},[3493,3514,3525,3542,3555,3570,3581,3594,3608,3618,3629,3648],{"slug":3494,"name":3494,"fn":3495,"description":3496,"org":3497,"tags":3498,"stars":3511,"repoUrl":3512,"updatedAt":3513},"analyze-market","perform market analysis and size estimation","Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3499,3502,3505,3508],{"name":3500,"slug":3501,"type":16},"Marketing","marketing",{"name":3503,"slug":3504,"type":16},"Research","research",{"name":3506,"slug":3507,"type":16},"Sales","sales",{"name":3509,"slug":3510,"type":16},"Strategy","strategy",26592,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fdeepagents","2026-04-18T04:46:54.557115",{"slug":3515,"name":3515,"fn":3516,"description":3517,"org":3518,"tags":3519,"stars":3511,"repoUrl":3512,"updatedAt":3524},"arxiv-search","search arXiv for academic research papers","Searches 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3520,3521],{"name":3503,"slug":3504,"type":16},{"name":3522,"slug":3523,"type":16},"Search","search","2026-05-13T06:11:01.203061",{"slug":3526,"name":3526,"fn":3527,"description":3528,"org":3529,"tags":3530,"stars":3511,"repoUrl":3512,"updatedAt":3541},"blog-post","write SEO-optimized blog posts","Write long-form blog posts with SEO optimization and clear structure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3531,3534,3535,3538],{"name":3532,"slug":3533,"type":16},"Content Creation","content-creation",{"name":3500,"slug":3501,"type":16},{"name":3536,"slug":3537,"type":16},"SEO","seo",{"name":3539,"slug":3540,"type":16},"Writing","writing","2026-04-15T05:00:54.149813",{"slug":3543,"name":3543,"fn":3544,"description":3545,"org":3546,"tags":3547,"stars":3511,"repoUrl":3512,"updatedAt":3554},"competitor-analysis","analyze competitors and market positioning","Analyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3548,3551,3552,3553],{"name":3549,"slug":3550,"type":16},"Competitive Intelligence","competitive-intelligence",{"name":3500,"slug":3501,"type":16},{"name":3503,"slug":3504,"type":16},{"name":3509,"slug":3510,"type":16},"2026-04-18T04:46:55.79306",{"slug":3556,"name":3556,"fn":3557,"description":3558,"org":3559,"tags":3560,"stars":3511,"repoUrl":3512,"updatedAt":3569},"deepagents-thread-inspector","inspect local Deep Agents conversation threads","Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse ~\u002F.deepagents\u002F.state\u002Fsessions.db and a thread UUID or prefix.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3561,3562,3565,3566],{"name":3394,"slug":3395,"type":16},{"name":3563,"slug":3564,"type":16},"Debugging","debugging",{"name":9,"slug":8,"type":16},{"name":3567,"slug":3568,"type":16},"SQLite","sqlite","2026-07-24T06:08:57.102689",{"slug":3571,"name":3571,"fn":3572,"description":3573,"org":3574,"tags":3575,"stars":3511,"repoUrl":3512,"updatedAt":3580},"langgraph-docs","build stateful agents with LangGraph","Fetches 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3576,3577,3578,3579],{"name":3394,"slug":3395,"type":16},{"name":19,"slug":20,"type":16},{"name":273,"slug":288,"type":16},{"name":3431,"slug":3432,"type":16},"2026-05-13T06:11:03.650877",{"slug":3582,"name":3582,"fn":3583,"description":3584,"org":3585,"tags":3586,"stars":3511,"repoUrl":3512,"updatedAt":3593},"remember","capture knowledge into persistent memory","Review 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3587,3588,3589,3592],{"name":3394,"slug":3395,"type":16},{"name":19,"slug":20,"type":16},{"name":3590,"slug":3591,"type":16},"Knowledge Management","knowledge-management",{"name":3413,"slug":3414,"type":16},"2026-05-13T06:10:58.510037",{"slug":3595,"name":3595,"fn":3596,"description":3597,"org":3598,"tags":3599,"stars":3511,"repoUrl":3512,"updatedAt":3607},"skill-creator","create agent skills and tool integrations","Guide 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\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3600,3601,3604],{"name":3394,"slug":3395,"type":16},{"name":3602,"slug":3603,"type":16},"Engineering","engineering",{"name":3605,"slug":3606,"type":16},"Plugin Development","plugin-development","2026-05-13T06:10:59.88449",{"slug":3609,"name":3609,"fn":3610,"description":3611,"org":3612,"tags":3613,"stars":3511,"repoUrl":3512,"updatedAt":3617},"social-media","create optimized social media posts","Create social media posts optimized for engagement across platforms.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3614,3615,3616],{"name":3532,"slug":3533,"type":16},{"name":3500,"slug":3501,"type":16},{"name":3539,"slug":3540,"type":16},"2026-04-15T05:00:55.37452",{"slug":3619,"name":3619,"fn":3620,"description":3621,"org":3622,"tags":3623,"stars":3511,"repoUrl":3512,"updatedAt":3628},"web-research","conduct and synthesize web research","Searches 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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3624,3625,3626,3627],{"name":3394,"slug":3395,"type":16},{"name":3431,"slug":3432,"type":16},{"name":3503,"slug":3504,"type":16},{"name":3522,"slug":3523,"type":16},"2026-05-13T06:11:04.930044",{"slug":3630,"name":3630,"fn":3631,"description":3632,"org":3633,"tags":3634,"stars":3645,"repoUrl":3646,"updatedAt":3647},"mermaid-diagrams","embed Mermaid diagrams in documentation","Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3635,3638,3639,3642],{"name":3636,"slug":3637,"type":16},"Diagrams","diagrams",{"name":19,"slug":20,"type":16},{"name":3640,"slug":3641,"type":16},"Markdown","markdown",{"name":3643,"slug":3644,"type":16},"Technical Writing","technical-writing",12181,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fopenwiki","2026-07-24T06:09:01.089597",{"slug":3649,"name":3649,"fn":3650,"description":3651,"org":3652,"tags":3653,"stars":3645,"repoUrl":3646,"updatedAt":3660},"write-connector","implement OpenWiki source connectors","Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3654,3657],{"name":3655,"slug":3656,"type":16},"API Development","api-development",{"name":3658,"slug":3659,"type":16},"Integrations","integrations","2026-07-18T05:48:23.961804",41]