Skill Claude CodeCodex
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…
Skill Claude CodeCodex
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…
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
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.
Instructions file CodexOpenCode
Instructions for langchain-ai/openwiki, covering openwiki and openwiki.
Instructions file
Instructions for langchain-ai/openwiki, covering openwiki and openwiki.
Skill Claude CodeCodex
Initialize or update an OpenWiki repository wiki using the OpenWiki resumable page-job lifecycle. Use when asked to document a repository, initialize OpenWiki, update OpenWiki after source changes, resume an interrupted OpenWiki run, or repair stale generated documentation.
Skill Claude CodeCodex
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…
Skill Claude CodeCodex
Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.
Instructions file CodexOpenCode
Instructions for langchain-ai/open-swe, covering agents.md, project, commands, architecture and entrypoints.
Instructions file
Instructions for langchain-ai/open-swe, covering claude.md, project, commands, architecture and entrypoints.
Skill Claude CodeCodex
Monitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.
Skill Claude CodeCodex
Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for saveplan, outputiframe, or slackattachhtml.
Skill Claude CodeCodex
First-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…
Skill Claude CodeCodex
Nightly 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…
Instructions file CodexOpenCode
Instructions for langchain-ai/langgraphjs, covering repository instructions and corridor security analysis.
Instructions file
Instructions for langchain-ai/langgraphjs, covering langgraphjs development guide, corridor security analysis, build & test commands, code style guidelines and library architecture.
Agent
This guide shows you how to set up and use LangGraph's prebuilt, reusable components, which are designed to help you construct agentic systems quickly and reliably.
Agent
Agents often require more than a list of messages to function effectively. They need context.
Agent
To deploy your LangGraph agent, create and configure a LangGraph app. This setup supports both local development and production deployments.
Agent
To evaluate your agent's performance you can use LangSmith evaluations. You would need to first define an evaluator function to judge the results from an agent, such as final outputs or trajectory. Depending on your evaluation technique, this may or may not involve a reference output.
Agent
To review, edit and approve tool calls in an agent you can use LangGraph's built-in human-in-the-loop features, specifically the interrupt() primitive.
Agent
Model Context Protocol (MCP) is an open protocol that standardizes how applications provide tools and context to language models. LangGraph agents can use tools defined on MCP servers through the @langchain/mcp-adapters library.