Langchain Ai Skills

skills-benchmarks/skills/api-docs

OpenAPI documentation and REST API design patterns

deepagents/libs/code/examples/skills/arxiv-search

Search arXiv for preprints and academic papers by topic with abstract retrieval. Query-based search across physics, mathematics, computer science, biology, statistics, and related fields Configurable result limit (default 10 papers) with results sorted by relevance Returns title and abstract for each matching paper Requires the arxiv Python package; install via pip if not already present

deepagentsjs/examples/skills/arxiv-search

Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields

deepagents/examples/content-builder-agent/skills/blog-post

Long-form blog post writing with research delegation, structured content templates, and AI-generated cover images. Delegates research to subagents before writing, storing findings in markdown for reference and context Enforces a five-part post structure: hook, context, main content (3–5 sections), practical application, and conclusion with call-to-action Generates SEO-optimized cover images using detailed prompts covering subject, style, composition, color, and lighting Outputs posts to...

deepagents/examples/deploy-coding-agent/skills/code-review

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

deepagents/examples/deploy-coding-agent/skills/coding-prefs

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

deepagents/examples/deploy-gtm-agent/skills/competitor-analysis

When asked to analyze competitors:

deepagents/examples/nvidia_deep_agent/skills/cudf-analytics

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…

deepagents/examples/nvidia_deep_agent/skills/cuml-machine-learning

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality…

deepagents/examples/nvidia_deep_agent/skills/data-visualization

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating…

skills-benchmarks/skills/database-migrations

Database migration patterns and schema versioning

langchain-skills/skills/Deep Agents Memory & Filesystem

deep-agents-memory-&-filesystem — an installable skill for AI agents, published by langchain-ai/langchain-skills.

docs/src/.mintlify/skills/deep-agents

Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. Use for complex, multi-step tasks that need…

langchain-skills/config/skills/deep-agents-core

Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading Includes three always-present built-in tools: write_todos for task tracking, filesystem operations ( ls , read_file , write_file , edit_file , glob , grep ), and task for spawning specialized subagents Supports...

skills-benchmarks/skills/main/deep-agents-core

INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.

langchain-skills/config/skills/deep-agents-memory

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

skills-benchmarks/skills/main/deep-agents-memory

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent),…

langchain-skills/config/skills/deep-agents-orchestration

Orchestrate subagents, plan multi-step tasks, and require human approval for sensitive operations. Delegate work to specialized subagents via the task tool; custom subagents support isolated tool sets and system prompts, while the default "general-purpose" subagent inherits main agent configuration Plan and track complex workflows with write_todos , organizing tasks across pending, in-progress, and completed states; requires a thread_id for persistence across invocations Implement...

skills-benchmarks/skills/main/deep-agents-orchestration

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

langchain-skills/config/skills/deepagents-python-quickstart

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…

deepagents/libs/code/deepagents_code/built_in_skills/deepagents-thread-inspector

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for…

langchain-skills/config/skills/deepagents-typescript-quickstart

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…

skills-benchmarks/skills/docker-patterns

Best practices for Docker containerization and multi-stage builds

docs/.agents/skills/docs-code-samples

Use 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…

langchain-skills/config/skills/ecosystem-primer

INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting…

skills-benchmarks/skills/benchmarks/ecosystem-primer

INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting…

langchain-skills/config/skills/eval-engineering

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…

deepagentsjs/skills/eval-writer

Create new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith…

deepagentsjs/examples/skills/file-organizer

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating…

langchain-skills/skills/framework-selection

Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture. Layered frameworks where LangChain provides foundation primitives, LangGraph adds orchestration and control flow, and Deep Agents adds planning, memory, file management, and skill delegation Decision table guides framework choice based on task complexity: LangChain for single-purpose agents, LangGraph for custom control flow and loops, Deep Agents for multi-step planning and persistent sessions Deep...