- Analyze MarketPerform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.langchain-ai/deepagents30,089
- Arxiv SearchSearches 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.langchain-ai/deepagents30,089
- Blog PostWrites 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.langchain-ai/deepagents30,089
- Blog PostWrite structured long-form blog posts with research, SEO optimization, and cover image generation.langchain-ai/deepagents30,089
- Code ReviewPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.langchain-ai/deepagents30,089
- Coding PrefsRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.langchain-ai/deepagents30,089
- Competitor AnalysisAnalyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.langchain-ai/deepagents30,089
- Configuration HardeningReview Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active capabilities.langchain-ai/deepagents30,089
- Cudf AnalyticsUse for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.langchain-ai/deepagents30,089
- Cuml Machine LearningUse for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.langchain-ai/deepagents30,089
- Data VisualizationUse 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.langchain-ai/deepagents30,089
- Deepagents Plugin DiscoveryDiscover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, or not-yet-installed plugins and connected marketplaces.langchain-ai/deepagents30,089
- Deepagents Thread InspectorInspect and explain conversations in the local Deep Agents Code SQLite session store. Use to look up the current thread's title or name, as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.langchain-ai/deepagents30,089
- Gpu Document ProcessingUse when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.langchain-ai/deepagents30,089
- Langgraph DocsFetches 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.langchain-ai/deepagents30,089
- PlanningBreak down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.langchain-ai/deepagents30,089
- Query WritingWrites and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.langchain-ai/deepagents30,089
- RememberReview 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.langchain-ai/deepagents30,089
- SafetyCheck secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding actions. Use for commits, pushes, container builds or publishes, dependency additions, and explicit safety reviews.langchain-ai/deepagents30,089
- Schema ExplorationLists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.langchain-ai/deepagents30,089
- Skill CreatorGuide 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 langchain-ai/deepagents30,089
- Skill CreatorGuide 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 langchain-ai/deepagents30,089
- Social MediaDrafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.langchain-ai/deepagents30,089
- Social MediaCreate social media content including Twitter/X threads, LinkedIn posts, and short-form updates.langchain-ai/deepagents30,089
- Textual ScreenshotCapture a Textual terminal UI as an SVG using its headless test harness. Use when asked to make, attach, or preview a screenshot of deepagents-code/dcode or another Textual app, visually verify a TUI state, or render a modal, screen, or widget without a desktop or browser.langchain-ai/deepagents30,089
- Web ResearchSearches 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.langchain-ai/deepagents30,089
- Mermaid DiagramsEmbed 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.langchain-ai/openwiki17,014
- OpenwikiSearch and read an existing repository OpenWiki when requested or needed to resolve a concrete architecture or dependency uncertainty, or initialize and update one through the resumable page-job lifecycle.langchain-ai/openwiki17,014
- Write ConnectorAdd a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.langchain-ai/openwiki17,014
- Baby SitMonitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.langchain-ai/open-swe10,788
- Bootstrap Repo AnalysisFirst-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.langchain-ai/open-swe10,788
- Continual LearningNightly 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.langchain-ai/open-swe10,788
- Html ArtifactsAuthor 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.langchain-ai/open-swe10,788
- Linear TicketsCreate or update high-quality Linear tickets while preserving the originating report, diagnostic links, attachments, and reporter/requester attribution. Read this whenever someone asks to create, recreate, or update a Linear issue.langchain-ai/open-swe10,788
- Local Gh DevRun the Open SWE dashboard locally against real GitHub data, signed in with the `gh` CLI instead of a per-machine GitHub App. Use when asked to run the app locally, test a dashboard change against real PRs, reproduce something a screenshot shows, or when local login fails with "GITHUB_APP_CLIENT_ID not configured".langchain-ai/open-swe10,788
- WorkspacesHow an Open SWE workspace's sandbox image works and how to change it — create one, edit or fork an existing one, start from scratch, what setup_script and update_script are for, why a nightly refresh failed, where the build logs are, and how to read a rebuild in progress. Read this whenever someone asks about workspaces, snapshots, sandbox images, or a refresh, whether or not this is an admin thread.langchain-ai/open-swe10,788
- Writing Pr Body Title DescriptionUse when writing or editing a pull request title or body.langchain-ai/open-swe10,788
- Arxiv SearchSearch arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fieldslangchain-ai/deepagentsjs1,587
- Eval WriterCreate 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', 'benchmarklangchain-ai/deepagentsjs1,587
- File OrganizerIntelligently 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.langchain-ai/deepagentsjs1,587
- Langgraph DocsUse this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.langchain-ai/deepagentsjs1,587
- Langsmith TraceINVOKE 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.langchain-ai/deepagentsjs1,587
- Skill CreatorGuide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: create a skill, make a skill, build a skill, set up a skill, initialize a skill, scaffold a skill, update or modify an existing skill, validate a skill, learn about skill structure, understand how skills work, or get guidance on skill design patterns.langchain-ai/deepagentsjs1,587
- Web ResearchUse this skill for requests related to web research; it provides a structured approach to conducting comprehensive web researchlangchain-ai/deepagentsjs1,587
- Deep Agents CoreINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.langchain-ai/langchain-skills1,265
- Deep Agents MemoryINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.langchain-ai/langchain-skills1,265
- Deep Agents OrchestrationINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.langchain-ai/langchain-skills1,265
- Deepagents Python QuickstartScaffold 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 to quickly build or try a Deep Agent locally.langchain-ai/langchain-skills1,265
- Deepagents Typescript QuickstartScaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.langchain-ai/langchain-skills1,265
- Ecosystem PrimerINVOKE 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-ai/langchain-skills1,265
- Eval EngineeringInspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs, calibration, or continuous benchmark maintenance.langchain-ai/langchain-skills1,265
- Langchain DependenciesINVOKE 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-ai/langchain-skills1,265
- Langchain FundamentalsCreate LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.langchain-ai/langchain-skills1,265
- Langchain MiddlewareINVOKE 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-ai/langchain-skills1,265
- Langchain Python QuickstartScaffold 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-ai/langchain-skills1,265
- Langchain RagINVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).langchain-ai/langchain-skills1,265
- Langchain Typescript QuickstartScaffold 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.langchain-ai/langchain-skills1,265
- Langgraph CliINVOKE 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.langchain-ai/langchain-skills1,265
- Langgraph Decision ModelsINVOKE 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.langchain-ai/langchain-skills1,265
- Langgraph FundamentalsINVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.langchain-ai/langchain-skills1,265