langchain-ai
- 53 skills
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- 6 hours ago last updated
- ▌ Twitter Post · langchain-aiWrite a Twitter/X post or thread based on research findings or a given topic. Use this skill when asked to create tweets, X posts, or social media threads.
- ▌ Linkedin Post · langchain-aiWrite a LinkedIn post based on research findings or a given topic. Use this skill when asked to create LinkedIn content, professional posts, or thought leadership pieces.
- ▌ Langsmith Fetch · langchain-aiFetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.
- ▌ Langsmith Code Eval · langchain-ai bundleCreates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs programmatically. Triggers on requests to evaluate agents, create evaluators, or run experiments against LangSmith datasets.
- ▌ Eval Writer · langchain-aiCreate new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith integration. Use when the user asks to: (1) create an eval, (2) write an evaluation, (3) add a benchmark, (4) build an eval suite, (5) evaluate agent behaviour, (6) add test cases for a capability, or (7) implement an existing benchmark (e.g. oolong, AgentBench, SWE-bench). Trigger on phrases like 'create eval', 'new eval', 'add eval', 'benchmark', 'evaluate', 'eval suite', 'write evals for'.
- ▌ Web Research · langchain-aiUse this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
- ▌ File Organizer · langchain-aiIntelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
- ▌ Langgraph Docs · langchain-aiUse this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
- ▌ Module 1 · langchain-ai bundleTeaching instructions for Module 1 (LangGraph Deployment Architecture) — use when module_id is module-1
- ▌ Module 2 · langchain-ai bundleTeaching instructions for Module 2 (Using your deployment) — use when module_id is module-2
- ▌ Module 3 · langchain-ai bundleTeaching instructions for Module 3 (Dashboard) — use when module_id is module-3
- ▌ Module 4 · langchain-ai bundleTeaching instructions for Module 4 (Storage) — use when module_id is module-4
- ▌ Module 5 · langchain-ai bundleTeaching instructions for Module 5 (Authentication and Authorization) — use when module_id is module-5
- ▌ Module 6 · langchain-ai bundleTeaching instructions for Module 6 (Deepagents CLI) — use when module_id is module-6
- ▌ Draft Pitch · langchain-aiUse when the user wants to write a sales pitch or outreach message for a prospect.
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- ▌ Rfq Quote · langchain-aiProcess an incoming request for quote (RFQ) from a customer: read the email, look up the customer and catalogue prices, compute a quote, have it reviewed, draft the reply, and log it. Use whenever a customer asks for a price, a quote, or to license/buy a batch of tracks.
- ▌ Territory Report · langchain-aiBuild a report on the rep's sales territory — revenue, top customers, top genres, and trends for Jane's book of business — with a chart. Use when asked for a territory report, sales summary, performance numbers, or 'how is my book doing'.
- ▌ Weekly Newsletter · langchain-aiProduce the weekly 'This Week in Music' customer newsletter by researching the distributor's top genres in parallel and assembling a styled HTML page. Use when asked to create, write, or send the weekly newsletter or a music-news roundup.
- ▌ Arxiv Search · langchain-ai bundleSearches 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 Creator · langchain-ai bundleGuide 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".
- ▌ Planning · langchain-aiBreak down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.
- ▌ Blog Post · langchain-aiWrites and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
- ▌ Code Review · langchain-ai bundlePerform a structured code review of changes, checking for correctness, style, tests, and potential issues.
- ▌ Social Media · langchain-aiCreate social media content including Twitter/X threads, LinkedIn posts, and short-form updates.
- ▌ Remember · langchain-aiReview 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.
- ▌ Competitor Analysis · langchain-aiAnalyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.
- ▌ Data Visualization · langchain-aiUse for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.
- ▌ Analyze Market · langchain-aiPerform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.
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- ▌ Langchain Middleware · langchain-aiINVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
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- ▌ Langchain Agents · langchain-ai bundleBuild LangChain agents with modern patterns. Covers create_agent, LangGraph, and context management.
- ▌ Ecosystem Primer · langchain-aiINVOKE FIRST for any LangChain / LangGraph / 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.
- ▌ Langchain Dependencies · langchain-aiINVOKE THIS SKILL when asked about and/or have to implement 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.
- ▌ Framework Selection · langchain-aiINVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
- ▌ Deep Agents Orchestration · langchain-aiINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
- ▌ Langchain Oss Primer · langchain-aiALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions.
- ▌ Lca Deepagents · langchain-ai bundleActive, Socratic teacher for the LangChain Academy Deep Agents course — drives the student through the curriculum with a calibrated interaction density, explain-then-check dialogue at load-bearing moments, and misconception-targeted questioning
- ▌ Openwiki · langchain-ai bundleInitialize 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.
- ▌ Write Connector · langchain-aiAdd a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.
- ▌ Mermaid Diagrams · langchain-aiEmbed 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.
- ▌ Continual Learning · langchain-aiNightly 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, and save the refined version. Use this once outcomes exist; use bootstrap-repo-analysis for a cold-start repo.
- ▌ HTML Artifacts · langchain-aiAuthor 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 save_plan, output_iframe, or slack_attach_html.
- ▌ Bootstrap Repo Analysis · langchain-aiFirst-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 reviewer has accumulated finding outcomes.
- ▌ Write Oep · langchain-aiDraft an Open SWE Enhancement Proposal using the repository's OEP process and template. Use when the user asks to create, write, or propose an OEP or invokes /write-oep.
- ▌ Baby Sit · langchain-aiMonitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.
- ▌ Langsmith Trace · langchain-aiINVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.
- ▌ Langsmith Dataset · langchain-aiINVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.
- ▌ Langsmith Evaluator · langchain-aiINVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.