Langchain Ai Skills

skills-benchmarks/skills/main/langgraph-human-in-the-loop

INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...),…

langchain-skills/config/skills/langgraph-persistence

Durable graph execution with thread-scoped checkpoints, state history, and cross-thread long-term memory. Three checkpointer options: InMemorySaver for testing, SqliteSaver for local development, PostgresSaver for production; always pass thread_id in config to enable persistence Browse and replay from past checkpoints using get_state_history() , fork execution by updating state at a past point, or manually modify state before resuming Store API provides cross-thread memory for user...

skills-benchmarks/skills/main/langgraph-persistence

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping.…

langchain-skills/config/skills/langgraph-python-quickstart

Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent…

langchain-skills/config/skills/langgraph-typescript-quickstart

Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent…

docs/src/.mintlify/skills/langsmith

Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or…

langchain-skills/skills/LangSmith Datasets

INVOKE THIS SKILL when creating evaluation datasets from trace OR uploading datasets to LangSmith OR querying datasets. Covers dataset types (final_response,…

langchain-skills/skills/LangSmith Evaluators

INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2)…

langchain-skills/skills/Langsmith Traces

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Contains…

lca-skills/skills/langsmith-code-eval

Creates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs…

langchain-skills/skills/langsmith-dataset

INVOKE THIS SKILL when creating evaluation datasets from trace OR uploading datasets to LangSmith OR querying datasets. Covers dataset types (final_response,…

langsmith-skills/config/skills/langsmith-dataset

Create, manage, and upload evaluation datasets to LangSmith for testing and validation. Supports four dataset types: final_response (full conversations), single_step (individual node behavior), trajectory (tool call sequences), and RAG (question/chunks/answer/citations) CLI commands for dataset lifecycle management: create, list, get, delete, export, and upload from local JSON files SDK-based dataset creation in Python and JavaScript with programmatic example addition Example management...

skills-benchmarks/skills/main/langsmith-dataset

INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response,…

langchain-skills/skills/langsmith-evaluator

INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2)…

langsmith-skills/config/skills/langsmith-evaluator

Build evaluation pipelines for LangSmith with LLM-as-Judge and custom code evaluators. Three core components: creating evaluators (LLM-as-Judge or custom code), defining run functions to capture agent outputs and trajectories, and running evaluations locally or auto-running via uploaded evaluators Supports both offline evaluators (comparing run outputs to dataset examples) and online evaluators (real-time quality checks on production runs) Requires LangSmith API key and project...

skills-benchmarks/skills/main/langsmith-evaluator

INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2)…

lca-skills/skills/langsmith-fetch

Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.

langchain-skills/config/skills/langsmith-online-eval-engineering

Iteratively inspect traces, interview the user, and create LangSmith online evaluators one at a time. Use specifically for creating online evaluators for use…

langchain-skills/skills/langsmith-trace

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Contains…

langsmith-skills/config/skills/langsmith-trace

Add tracing to LangChain/LangGraph apps and query trace data via CLI for debugging and dataset generation. Automatic tracing for LangChain/LangGraph apps with environment variables; manual tracing via @traceable decorator and wrap_openai() for other frameworks in Python and TypeScript Query traces (complete execution trees) or runs (individual nodes) using langsmith CLI with filters for time, latency, errors, tags, and custom metadata Export traces to JSONL files preserving hierarchy;...

deepagentsjs/.agents/skills/langsmith-trace

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the…

skills-benchmarks/skills/main/langsmith-trace

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the…

lca-tutors/lca-deepagents

Active, Socratic teacher for the LangChain Academy Deep Agents course — drives the student through the curriculum with a calibrated interaction density,…

langgraph-101/agents/deep_agent/skills/linkedin-post

Write a LinkedIn post based on research findings or a given topic. Use this skill when asked to create LinkedIn content, professional posts, or thought…

langchain-skills/config/skills/managed-deep-agents

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith with the mda CLI. Covers the code-first, file-based project layout;…

openwiki/skills/mermaid-diagrams

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…

docs/src/code-samples/langchain/skills/pandas-patterns

Common pandas and matplotlib patterns for data analysis and visualization

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

Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.

deepagents/examples/text-to-sql-agent/skills/query-writing

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database,…

skills-benchmarks/skills/react-components

Modern React component patterns with hooks and TypeScript