langchain-skills
Agent skills for building agents with LangChain, LangGraph, and Deep Agents
Lot de plugins · par LangChain
Aperçu
langchain-skills est un lot de plugins pour les outils de code IA publié par LangChain. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Le dernier changement enregistré date du 2026-11-10. Selon notre passage sur les places de marché du 2026-11-11.
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add langchain-ai/langchain-skills
/plugin install langchain-skills@langchain-skillsOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire langchain-ai/langchain-skills (Ouvrir la source sur GitHub) | Référencé | 0.1.2 | Forks (GitHub): 111 Étoiles (GitHub): 1 332 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| langchain-skills | langchain-ai/langchain-skills | 1 332 |
Quelles places de marché nous lisons et comment nous les vérifions
Évolution de ses chiffres
- 2026-10-28106
- 2026-10-31107
- 2026-11-01106
- 2026-11-04107
- 2026-11-06108
- 2026-11-07109
- 2026-11-09110
- 2026-11-10111
- 2026-10-281,3 k
- 2026-10-301,3 k
- 2026-11-011,3 k
- 2026-11-031,3 k
- 2026-11-041,3 k
- 2026-11-071,3 k
- 2026-11-091,3 k
- 2026-11-101,3 k
Chaque point est un jour où nous avons lu un autre nombre ; les paliers sont des jours sans changement. Les chiffres de places de marché différentes ne sont jamais additionnés.
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 22
deep-agents-coredeep-agents-memorydeep-agents-orchestrationdeepagents-python-quickstartdeepagents-typescript-quickstartecosystem-primereval-engineeringlangchain-dependencieslangchain-fundamentalslangchain-middlewarelangchain-python-quickstartlangchain-rag
Afficher les autres : 10
langchain-typescript-quickstartlanggraph-clilanggraph-decision-modelslanggraph-fundamentalslanggraph-human-in-the-looplanggraph-persistencelanggraph-python-quickstartlanggraph-typescript-quickstartmanaged-deep-agentsswarm
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
LangChain JS/TS development - agents, chains, LangGraph workflows, and Deep Agents patterns
-
Production-grade DSPy 3.2.x skills: fundamentals, evaluation, GEPA, BetterTogether, RLM, and end-to-end workflow.
-
llm-applications
Agent frameworks, prompt engineering and structured generation.
-
A curated collection of reliable workflows for AI agents.
-
agents
LLM agent frameworks including LangChain, LlamaIndex, CrewAI, and AutoGPT. Use when building chatbots, autonomous agents, or tool-using systems.
-
Extend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness — coding agents and sandboxed workspaces, Code Mode, sub-agents and planning, memory…
-
A self-improving agent skill pipeline that prevents common AI coding agent failures. Includes 6 skills (plan-interview, intent-framed-agent, context-surfing, simplify-and-harden…
-
Agent architecture, MCP server development, prompt/context engineering, evaluation, RAG, and multi-agent orchestration skills.
-
DeepSeek model harness with focused agents, commands, and skills for swarm-backed reasoning workflows
-
Feature dev agents, CLAUDE.md auditing, and Agent Skills creation.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
A self-improving agent skill pipeline that prevents common AI coding agent failures. Includes 6 skills (plan-interview, intent-framed-agent, context-surfing, simplify-and-harden…
-
A collection of skills for AI coding agents working with the Spice.ai runtime - data federation, acceleration, search, AI/LLM integration, and cloud management.
-
JoAi is a platform for creating and managing your own AI agents.
-
Multi-LLM orchestration for Claude Code and Cowork. Coordinates 8 AI providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama) through structured Double…
-
Make your AI agent get stronger with use. Includes two skills: /skill-review (periodic audit of all skills for staleness, missing gotchas, and improvements) and…
Référencé sur Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Référencé sur Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Référencé sur Community GitHub marketplaces (5)
-
LangChain JS/TS development - agents, chains, LangGraph workflows, and Deep Agents patterns
-
Production-grade DSPy 3.2.x skills: fundamentals, evaluation, GEPA, BetterTogether, RLM, and end-to-end workflow.
-
llm-applications
Agent frameworks, prompt engineering and structured generation.
-
A curated collection of reliable workflows for AI agents.
-
agents
LLM agent frameworks including LangChain, LlamaIndex, CrewAI, and AutoGPT. Use when building chatbots, autonomous agents, or tool-using systems.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for GitHub Copilot.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Référencé sur Cursor: cursor/plugins (5)
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
Référencé sur Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Discovers and retrieves llms.txt from websites.
Référencé sur Official MCP Registry (5)
-
Toolbox for AI agent skills: scaffold, lint, pack, install, and serve SKILL.md skills
-
Agent-first skill marketplace with USK open standard for Claude, Cursor, Gemini, Codex CLI.
-
Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.
-
Search, install and compose AI agent skills, loops and bundles from the LoopSkill marketplace.
-
getskills io.github.Sidsaladi9/getskills
Search and install 3,000+ AI skills from getskillsai.org into Claude Code, Cursor, ChatGPT.
Référencé sur PyPI (MCP servers) (5)
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
lineai-mcp-server io.github.lineai-intelligence/lineai-mcp-server
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
-
MCP knowledge layer for MiniStack — plug into any IDE AI (Claude Desktop, Cursor, Continue, Devin, Cline).
-
Every tool your AI needs in one self-hosted install: memory, reasoning, git, Docker and more.
Référencé sur npm registry (MCP servers) (5)
-
Build Gemini- and ChatGPT-style apps, assistants with memory, RAG over vector databases and multi-provider AI features in JavaScript with the IntelliNode library, plus an MCP…
-
Contextual prompts and agent skills for 140+ AI platforms.
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
Real-world actions for AI coding agents: an inbox with approval outbox, deploys, domains, payments.
-
jev_classify, jev_check, jev_score, jev_rank, jev_ask over MCP, plus the /jev skill.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.