Browse Skills — Page 167

kyverno

TerminalSkills/skills

Expert guidance for Kyverno, the Kubernetes-native policy engine that validates, mutates, and generates resources using YAML policies (no Rego required). Helps developers enforce security policies, automate resource defaults, and ensure compliance across Kubernetes clusters.

l2s-automation

ComposioHQ/awesome-claude-skills

"Automate L2s tasks via Rube MCP (Composio). Always search tools first for current schemas."

lab_protocol_from_literature

InternScience/scp

Lab Protocol from Literature - Extract and generate lab protocol: search PubMed, extract protocol from paper, and generate executable protocol. Use this skill for lab science tasks involving pubmed search extract protocol from pdf protocol generation generate executable json. Combines 4 tools from 2 SCP server(s).

lab-budget-forecaster

aipoch/medical-research-skills

Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

lab-inventory-predictor

aipoch/medical-research-skills

Predict depletion time of critical lab reagents based on historical usage frequency, and automatically generate purchase alerts when stock falls below safety thresholds.

lab-prep-calculations

aipoch/medical-research-skills

Perform pre-experiment calculations and generate step-by-step preparation protocols for dilutions, solution preparation, dissolution, and % concentrations when planning formulations and lab prep workflows.

lab-result-interpretation

aipoch/medical-research-skills

A medical assistant tool that transforms complex biochemical laboratory test results into clear, patient-friendly explanations with safety disclaimers and severity flags.

lab-unit-harmonization

elizaOS/eliza

Comprehensive clinical laboratory data harmonization for multi-source healthcare analytics. Convert between US conventional and SI units, standardize numeric formats, and clean data quality issues. This skill should be used when you need to harmonize lab values from different sources, convert units for clinical analysis, fix formatting inconsistencies (scientific notation, decimal separators, whitespace), or prepare lab panels for research.

lab:autoresearch

oliver-kriska/claude-elixir-phoenix

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labarchive-integration

K-Dense-AI/scientific-agent-skills

Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.

label-studio

TerminalSkills/skills

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labor-allocation

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Allocate and track labor resources across project activities. Balance workload, track attendance, and optimize crew assignments.

labor-productivity-analytics

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Analyze construction labor productivity using data analytics. Track worker performance, identify inefficiencies, predict resource needs, and optimize crew allocation for maximum efficiency.

labor-productivity-analyzer

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Analyze labor productivity by trade, activity, and location. Track efficiency and identify improvement opportunities.

labor-rate

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.

labs64-netlicensing-automation

ComposioHQ/awesome-claude-skills

"Automate Labs64 Netlicensing tasks via Rube MCP (Composio). Always search tools first for current schemas."

ladder-quality-order

yogsoth-ai/de-anthropocentric-research-engine

loss-2 judge - pairwise quality comparison across the n rungs within one topic; decide monotonicity and endpoint separation. check-blind, D1-D5 only.

lage-und-ausstattung-erheben

Klotzkette/claude-fuer-deutsches-recht

Strukturierte Datenerhebung fuer die Einordnung in den Mietspiegel — Adresse Baujahr Wohnflaeche Bad Kueche Heizung Wohnungsausstattung Gebaeudeausstattung. Erfasst alle Merkmale die in qualifizierten Mietspiegeln als Sondermerkmale bewertet werden (Bodenbelag Fenster Balkon Terrasse Aufzug Stellplatz Energieeffizienz). Erzeugt eine Checkliste und ein strukturiertes Erhebungsprotokoll als Grundlage fuer ortsuebliche Vergleichsmiete Mieterhoehung Mietsenkungsverlangen oder Klage.

lakatos-heuristics

yogsoth-ai/de-anthropocentric-research-engine

Proofs and Refutations method: generate counterexamples, attempt monster-barring, incorporate surviving counterexamples as lemma refinements.

lambda

itsmostafa/aws-agent-skills

AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.

lambda-labs-gpu-cloud

NousResearch/hermes-agent

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

lambda-lang

diegosouzapw/awesome-omni-skills

\u039b (Lambda) Language workflow skill. Use this skill when the user needs Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak directly, not a translation layer. 340+ atoms across 7 domains; 3x smaller than natural language and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

lambda-lang-v2

diegosouzapw/awesome-omni-skills

\u039b (Lambda) Language workflow skill. Use this skill when the user needs Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak directly, not a translation layer. 340+ atoms across 7 domains; 3x smaller than natural language and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

lambdatest-agent-skills

diegosouzapw/awesome-omni-skills

LambdaTest Agent Skills \u2014 Test Automation Registry (46 Skills) workflow skill. Use this skill when the user needs Production-grade test automation skills for 46 frameworks across E2E, unit, mobile, BDD, visual, and cloud testing in 15+ languages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

lambdatest-agent-skills-v2

diegosouzapw/awesome-omni-skills

LambdaTest Agent Skills \u2014 Test Automation Registry (46 Skills) workflow skill. Use this skill when the user needs Production-grade test automation skills for 46 frameworks across E2E, unit, mobile, BDD, visual, and cloud testing in 15+ languages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

lamindb

K-Dense-AI/scientific-agent-skills

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

lamindb-data-management

jaechang-hits/SciAgent-Skills

Open-source FAIR biology data framework. Version artifacts (AnnData, DataFrame, Zarr), track lineage, validate via ontologies (Bionty), query datasets. Integrates with Nextflow, Snakemake, W&B, scVI. For scRNA-seq use scanpy; for ontology lookups use bionty.

lancedb

mkurman/zorai

LanceDB — serverless vector database for AI. Columnar storage on Lance format, zero-copy access, multimodal search (text + images + audio), and direct DataFrame integration. No separate server.

lancedb-update-lance-dependency

lancedb/lancedb

Update LanceDB to a specific Lance release or tag. Use when bumping Lance dependencies in the lancedb repository, including Rust workspace Lance crates, Java lance-core, validation, branch creation, commit, push, and PR creation when requested.

lancet-figure-guide

jaechang-hits/SciAgent-Skills

The Lancet figure preparation: resolution (300+ DPI at 120%), preferred editable formats (PowerPoint/Word/SVG), column widths (75/154 mm), Times New Roman, in-house redraw policy.

land

openai/symphony

- Ensure the PR is conflict-free with main. - Keep CI green and fix failures when they occur. - Squash-merge the PR once checks pass. - Do not yield to the user until the PR is merged; keep the watcher loop running unless blocked. - No need to delete remote branches after merge; the repo auto-deletes head branches.

landbot-automation

ComposioHQ/awesome-claude-skills

"Automate Landbot tasks via Rube MCP (Composio). Always search tools first for current schemas."

landing

alirezarezvani/claude-skills

Use when asked for a premium single-file HTML landing page with 3D CSS, GSAP scroll effects and parallax. Locks positioning in a short intake, validates the palette with brand_palette_validator.py and the output with html_validator.py.

landing-craft

EliasOulkadi/shokunin

Build conversion-optimized landing pages with CRO frameworks (Conversion Research, LIFT Model), scroll effects, A/B testing, personalization, form optimization, and Core Web Vitals (INP, LCP, CLS). Use when user asks to create a landing page, sales page, lead generation page, or improve conversion rates. Do NOT use for full product design (use component-forge), animation-specific (use motion-craft), or brand identity (use design).

landing-experience-checker

aaron-he-zhu/aaron-marketing-skills

Use when the user asks to "pre-launch check the landing page", "run a Quality-Score preflight", or "verify ad-to-page message match before launch"; produces an ad↔page continuity report — message-match gaps, above-the-fold check, page-speed read, form-friction count, mobile-render flags — as a pass/fix punch list. Not for redesigning or rewriting the page — use landing-optimizer; not for scoring the account or the RQS — use ad-account-auditor. 落地页体验预检/广告落地页一致性检查

landing-optimizer

aaron-he-zhu/aaron-marketing-skills

Use when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer.

landing-page

jezweb/claude-skills

Generate a complete, deployable landing page from a brief. Produces a single self-contained HTML file with Tailwind CSS (via CDN), responsive design, dark mode, semantic HTML, and OG meta tags. Sections: hero with CTA, features, social proof, pricing (optional), FAQ, footer. Use when building a marketing page, product launch page, coming soon page, or any standalone landing page. Triggers: 'landing page', 'create a page', 'marketing page', 'launch page', 'coming soon page', 'one-page site'.

landing-page-audit

indranilbanerjee/digital-marketing-pro

Audit landing pages. Use when: scoring above-fold clarity, trust signals, form friction, message match, or mobile UX.

landing-page-conversion-audit

github/awesome-copilot

Audit a landing page, sales page or checkout page for conversion leaks and return a fix list ordered by expected revenue impact. Use when asked to review, critique or improve a landing page, sales page, opt-in page, product page or checkout flow, when conversion rate is low, when paid traffic is not converting, or when someone asks "why isn't this page converting" or wants a CRO / landing page review.

landing-page-conversion-audit

modu-ai/cowork-plugins

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landing-page-copy

rampstackco/claude-skills

Write landing page copy with attention to the hero, value proposition, social proof, objection handling, and conversion-focused CTAs. Use this skill whenever the user wants to write a landing page, sales page, hero section, or any conversion-focused web copy. Triggers on landing page, sales page, hero copy, value proposition, headline, subheadline, hero section, CTA copy, conversion copy, opt-in page, squeeze page. Also triggers when the user has a marketing campaign or product launch needing dedicated conversion copy.

landing-page-copywriter

OneWave-AI/claude-skills

Write high-converting landing page copy using proven frameworks like PAS (Problem-Agitate-Solution), AIDA, and StoryBrand. Creates headlines, value propositions, CTAs, and full page sections optimized for conversion. Use when users need landing page copy, sales page content, or marketing website text.

landing-page-design

inferen-sh/superpowers

Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile design, and F-pattern reading. Use for: startup landing pages, product pages, SaaS marketing, conversion optimization. Triggers: landing page, hero section, above the fold, conversion optimization, landing page design, cta button, hero image, landing page layout, saas landing page, product page design, conversion rate, landing page best practices

landing-page-generator

alirezarezvani/claude-skills

Use when asked for a landing, marketing or campaign page as a Next.js TSX component with Tailwind. Scaffolds it with landing_page_scaffolder.py using PAS, AIDA or BAB copy, SEO meta and Core Web Vitals targets.

landing-page-generator-v2

diegosouzapw/awesome-omni-skills

Landing Page Generator workflow skill. Use this skill when the user needs Generates high-converting Next.js/React landing pages with Tailwind CSS. Uses PAS, AIDA, and BAB frameworks for optimized copy/components (Heroes, Features, Pricing). Focuses on Core Web Vitals/SEO and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

landing-page-intel

gooseworks-ai/goose-skills

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landing-page-launch

elophanto/EloPhanto

Pre-launch validation with landing pages. Build a landing page, capture emails, accept pre-orders, and validate demand before writing code. Based on levelsio's MAKE handbook.

landing-page-message-match

Significant-Gravitas/skills-catalog

Compare each ad's promise with its landing page and list the gaps that cost conversions.

landing-page-optimization

manojbajaj95/claude-gtm-plugin

Use when working on landing pages — creation, copywriting, design, optimization, or conversion rate improvement. Covers hero sections, above-the-fold content, value propositions, CTAs, landing page templates, and high-converting page structure. Applies to sales pages, lead capture pages, product pages, and marketing site pages. Use this skill for landing page copy, landing page design, landing page optimization, CTA writing, conversion rate optimization, hero section content, value proposition work, and any page builder or landing page template tasks.

landing-page-optimizer

OneWave-AI/claude-skills

Optimize landing pages for conversions, performance, and SEO. Use when improving landing pages, increasing conversions, or optimizing page performance.

landing-plan

github/lever

Turns a set of open PRs into a merge plan. It maps their dependencies, puts the PRs into merge-queue batches with strict order only where they overlap, and writes a hand-off with evidence for each PR. At L2 it gives the plan to the human who will merge; at L4 it enqueues the PRs itself. It can enqueue, so it runs only on `/lever land`, a hand-off from a lever coordinator, or an explicit ask ("what order should these merge in", "land the stack", "why is landing taking all day").

landpacht-und-hoferbfolge-pruefen

Klotzkette/claude-fuer-deutsches-recht

Pruefraster fuer Landpachtvertrag §§ 585 ff. BGB und Hoefeerbfolge nach HoefeO oder regionalem Hoefeerecht. Pachtformen Geld-Pacht Natural-Pacht Teilpacht Pachtvertragsanzeige § 2 LPachtVG Pachtpreisanpassung § 593 BGB Vertragsdauer Beendigung Verlaengerung Bewirtschaftungspflicht. Hoefeerecht Anerbenrecht Hofeszession Abfindungs-Anspruch weichender Erben § 12 HoefeO Hofeswert. Verweist auf ELER und GAP-Foerderrecht Direktzahlungen Cross Compliance Agrarumweltmassnahmen.

landscape-reconnaissance

yogsoth-ai/de-anthropocentric-research-engine

Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.

landscape-survey

yogsoth-ai/de-anthropocentric-research-engine

Patent landscape full-scan — maps technology domain via assignee ranking, IPC/CPC classification, filing trends. Budget: 200 patent families, 0 claim parses, 80 web searches.

landscape-synthesis

yogsoth-ai/de-anthropocentric-research-engine

Evaluate each candidate research field on maturity, competition, entry barrier, and publication opportunity. Synthesizes broad-web-search results into a structured FieldPanorama. Must consider both niche approaches AND direct frontal competition in hot fields.

lane

github/gh-aw-threat-detection

Use lane in this repository when the user asks to create or work in an isolated worktree.

lane-brief

microsoft/amplifier-bundle-converge

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langbase-automation

ComposioHQ/awesome-claude-skills

"Automate Langbase tasks via Rube MCP (Composio). Always search tools first for current schemas."

langchain

Orchestra-Research/AI-Research-SKILLs

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

langchain-architecture

benjaminasterA/antigravity-awesome-skills

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM w...

langchain-architecture

wshobson/agents

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

langchain-architecture-v2

diegosouzapw/awesome-omni-skills

LangChain Architecture workflow skill. Use this skill when the user needs Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

langchain-brand-skill

langchain-ai/fleet-deepagent-export

Design guidelines for 2026 LangChain brand

langchain-dependencies

langchain-ai/langchain-skills

INVOKE THIS SKILL when setting up a new project or when asked about 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.

langchain-fundamentals

langchain-ai/langchain-skills

Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.

langchain-middleware

langchain-ai/langchain-skills

INVOKE 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.

langchain-oss-primer

langchain-ai/skills-benchmarks

"ALWAYS 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."

langchain-python-quickstart

langchain-ai/langchain-skills

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

langchain-rag

langchain-ai/langchain-skills

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

langchain-tool-builder

simbajigege/book2skills

Build LangChain (Python) tools using Claude Code's fail-closed design pattern — unified name/schema/security/execution in one class, with automatic three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new LangChain tool, add permission or validation logic to an existing tool, set up the ClaudeStyleTool base class in a project, or asks about "build_tool", "Claude Code style tool", "工具定义", or "langchain tool with permissions". Also trigger when the user says "create a tool for X" or "定义一个工具" in a LangChain Python project context, even without mentioning Claude Code explicitly.

langchain-typescript-quickstart

langchain-ai/langchain-skills

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

langchain4j-ai-services-patterns

giuseppe-trisciuoglio/developer-kit

Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.

langchain4j-mcp-server-patterns

giuseppe-trisciuoglio/developer-kit

Provides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing tool calling capabilities, and integrating MCP clients with AI services. Use when building a Java MCP server, implementing tool calling in Java, connecting LangChain4j to external MCP servers, or securing tool exposure for agent workflows.

langchain4j-rag-implementation-patterns

giuseppe-trisciuoglio/developer-kit

Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.

langchain4j-spring-boot-integration

giuseppe-trisciuoglio/developer-kit

Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.

langchain4j-testing-strategies

giuseppe-trisciuoglio/developer-kit

Provides unit test, integration test, and mock AI patterns for LangChain4j applications. Creates mock LLM responses, tests retrieval chains, validates RAG workflows, and implements Testcontainers-based integration tests for Java AI services. Use when unit testing AI services, integration testing LangChain4j components, mocking AI models, or testing LLM-based Java applications.

langchain4j-tool-function-calling-patterns

giuseppe-trisciuoglio/developer-kit

Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.

langchain4j-vector-stores-configuration

giuseppe-trisciuoglio/developer-kit

Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

langfuse

trailofbits/buttercup

Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.

langfuse

avivsinai/langfuse-mcp

Debug AI agents and LLM applications via Langfuse MCP. Use when investigating traces, exceptions, slow generations, sessions, prompt versions, datasets, or evaluation sets. Triggers on "langfuse", "traces", "debug AI", "find exceptions", "what went wrong", "why is it slow", "datasets", "evaluation sets".

langfuse-integration-page

langfuse/langfuse-docs

Create a new Langfuse integration page in the langfuse-docs repo. Use this skill whenever the user wants to add, create, draft, or scaffold an integration page, cookbook, or docs page for a new tool/framework/model-provider/gateway in Langfuse — triggers include "new integration", "integration page", "docs page for <X>", "cookbook for <X>", "add <X> to langfuse docs", or any request that results in a new `cookbook/integration_*.ipynb`. Also use when the user pastes working integration code, a link to a partner's docs, or rough notes and wants them turned into the standard Langfuse integration notebook. The skill produces a correctly formatted Jupyter notebook, updates `cookbook/_routes.json`, and tries to fetch the partner logo into `public/images/integrations/`.

langfuse-v2

diegosouzapw/awesome-omni-skills

Langfuse workflow skill. Use this skill when the user needs Expert in Langfuse - the open-source LLM observability platform and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

langfuse-v3

diegosouzapw/awesome-omni-skills

Langfuse workflow skill. Use this skill when the user needs Expert in Langfuse - the open-source LLM observability platform and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

langgraph

langchain-ai/docs

Build stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent orchestration.

langgraph-architecture

existential-birds/beagle

Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.

langgraph-cli

langchain-ai/langchain-skills

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.

langgraph-code-review

existential-birds/beagle

Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.

langgraph-decision-models

langchain-ai/langchain-skills

INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.

langgraph-docs

langchain-ai/deepagents

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.

langgraph-fundamentals

langchain-ai/langchain-skills

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

langgraph-human-in-the-loop

langchain-ai/langchain-skills

INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.

langgraph-implementation

existential-birds/beagle

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.

langgraph-persistence

langchain-ai/langchain-skills

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.

langgraph-python-quickstart

langchain-ai/langchain-skills

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 locally.

langgraph-typescript-quickstart

langchain-ai/langchain-skills

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 locally.

langgraph-v2

diegosouzapw/awesome-omni-skills

LangGraph workflow skill. Use this skill when the user needs Expert in LangGraph - the production-grade framework for building and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

langgraph-v3

diegosouzapw/awesome-omni-skills

LangGraph workflow skill. Use this skill when the user needs Expert in LangGraph - the production-grade framework for building and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

langsmith

langchain-ai/docs

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

langsmith-code-eval

langchain-ai/lca-skills

Creates 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.

langsmith-custom-apps

langchain-ai/langsmith-skills

INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API. Covers the langsmith apps CLI, pulling an existing app's source, replicating an app into another workspace, verifying app logic without a browser, and sanitizing an app before sending it outside your org. Uses the langsmith CLI tool.