Claude skills directory
Short answer
A Claude skills directory is a browsable catalog of reusable instructions for Claude and other agents, with links to their sources. AgentSkillsDir is an independent, source-linked directory for discovering Claude and Codex skills, plus separate MCP server and agent collections. It is not Anthropic’s official documentation or a hosted runtime.
How to use itBrowse by task, open a skill card, then review its source and follow the upstream installation instructions for your client.
- 328 entries
- 34 publishers
- 324 with an open license
- Checked 17 Oct 2026 – 3 Nov 2026
All Claude skills
328 entries, metadata checked 17 Oct 2026 – 3 Nov 2026
Use case
Productivity35Scientific research22Development6Creative tools1Application & supply-chain security0Cloud & infrastructure security0Identity & email security0Incident response & forensics0Integrations0OT & ICS security0Security analysis0Threat detection0Publisher
alirezarezvani79mukul97563K-Dense-AI43phuryn41addyosmani25Yuan1z082523anthropics12vercel-labs9kepano6alchaincyf2mattpocock20xS4N4TG1AirsupHQ1artouc1assafkip1cursor1debpalash1DietrichGebert1EL4CTEO1FeedHive1footalytics1Garinmckayl1garrytan1GhostPawJS1Graphify-Labs1heydamir1Jakeschincariol1juliobsz1lemomo-ai1Leonxlnx1tt-a1i1wheresryan221cloudflare0Fission-AI0Community first · Anthropic official entries follow. Sort applies within each group.
Showing 64 of 328
- ab-test-analysisInterprets A/B experiment results using sample-size and uncertainty checks, producing a supported ship, extend or stop recommendation.
- ansoff-matrixMaps growth options across existing and new products and markets, making the assumptions behind each Ansoff strategy explicit.
- beachhead-segmentCompares potential launch segments by pain, purchasing capacity and reachable market share, selecting a focused first market to validate.
- brainstorm-okrsTurns company priorities into team-level objectives and measurable key results, supporting a focused quarterly goal discussion.
- business-modelDescribes how a business creates and captures value through the nine Business Model Canvas sections, revealing dependencies for further validation.
- code-reviewReviews implementation boundaries for actionable correctness defects, tracing each finding from an agreed contract to the code that violates it.
- cohort-analysisOrganizes engagement and retention data into cohorts, comparing segment trends to expose differences hidden in aggregate product metrics.
- create-prdBuilds a lean product requirements document from product context, organizing objectives, users, value and solution decisions into a reviewable brief.
- draft-ndaStructures an NDA draft from the parties, information types and jurisdiction, marking clauses that need qualified legal review before use.
- dummy-datasetGenerates synthetic datasets from requested columns and constraints, producing test fixtures in formats such as CSV, JSON or SQL.
- grammar-checkChecks supplied prose for grammar, logic and flow, suggesting localized corrections that preserve the author's wording and intended argument.
- growth-loopsExplores recurring growth mechanisms around a product's user behavior, comparing candidate loops and the conditions each needs to sustain itself.
- intended-vs-implementedCompares a system's intended behavior with its implementation, building an explicit model of expectations to reveal gaps generic scanners may miss.
- interview-scriptBuilds a customer-interview script around jobs and real experiences, avoiding leading questions and premature product pitching.
- job-storiesTranslates customer situations and motivations into job stories, adding expected outcomes and acceptance conditions for product-backlog discussion.
- metrics-dashboardPlans a product metrics dashboard with named data sources and alert rules, tying each measure to an operational or product question.
- monetization-strategyDevelops monetization options for a product and audience, pairing each proposed revenue model with fit assumptions, risks and validation experiments.
- nature-academic-searchBuilds scientific literature searches and verifies citation evidence, connecting topics, indexing terms and source records to a traceable research result.High static risk — review source first
- nature-citationFinds literature supporting manuscript claims within the requested journal scope, producing claim-to-source mappings and reference-manager exports.
- nature-dataDrafts and checks manuscript data-availability statements and repository plans, connecting actual access routes to metadata and citation requirements.
- nature-downloaderRetrieves academic full text through lawful institutional or public routes, recording access provenance and supplementary-material availability.High static risk — review source first
- nature-experiment-logTurns experimental notes and images into a structured research log with metadata, supporting optional export to the source's configured note systems.
- nature-figureCreates and audits manuscript figures in Python or R, delivering source-linked plots and exports suitable for the requested submission context.
- nature-image2pptReconstructs screenshot or image-only slides as editable PowerPoint objects, separating layout elements and text rather than merely embedding a full-page image.High static risk — review source first
- nature-literature-pipelineOrganizes literature discovery from multi-source search through scoring and close reading, producing formatted research materials with an archival trail.
- nature-paper-cardBuilds a structured reading card for one paper, linking methods and experiments to claims, limitations and possible follow-up research.High static risk — review source first
- nature-paper-to-patentTurns research evidence and inventor materials into a Chinese patent-draft package, preserving the distinction between supplied facts and proposed claim language.High static risk — review source first
- nature-paper-transTranslates selected pages or a complete English paper into a Chinese reading PDF, aiming to preserve the original page layout and figures.High static risk — review source first
- nature-paper-xrayReconstructs a paper's reasoning from methods and evidence, explaining how the authors reached a result instead of restating the abstract.
- nature-paper2pptBuilds an academic presentation from a paper and reading notes, organizing source figures, Chinese slide text and speaker notes.
- nature-polishingEdits existing academic prose for clarity and terminology while preserving factual claims, supporting translation and manuscript-layout adjustments within scope.
- nature-readerCreates aligned Chinese-English paper readers with source-linked text and visual material, supporting close reading at the requested excerpt scope.
- nature-ref-verifierChecks reference-list metadata against multiple sources, reporting author, title, date and DOI conflicts in a structured verification record.High static risk — review source first
- nature-responseDrafts and audits responses to peer review from supplied reviewer comments and revisions, connecting each response to manuscript evidence.
- nature-reviewerProvides evidence-based mock peer review of a manuscript, separating major validity concerns from smaller clarity and presentation issues.
- nature-sharedProvides shared references for the Nature skill collection, supporting other installed workflows rather than acting as a standalone research task.
- nature-social-scienceDevelops social-science and philosophy research questions into defensible proposals, organizing argument, evidence routes and boundaries for scholarly review.
- nature-statisticsChecks statistical reporting in a manuscript, reviewing experimental units, replication and uncertainty so claims can be compared with the documented analysis.
- nature-writingStructures a scientific manuscript from author-supplied evidence, connecting sections and claims into an argument for initial submission.
- north-star-metricDefines a product's North Star metric and supporting inputs, checking whether the measurement reflects the value users receive.
- outcome-roadmapRewrites a feature-output roadmap around intended outcomes, connecting proposed initiatives to user and business changes rather than deliverable counts.
- pre-mortemChallenges a PRD or launch plan with a pre-mortem, grouping possible failures and identifying which risks could block launch.
- pricing-strategyExamines pricing models, competitors and willingness-to-pay evidence, producing a pricing design whose uncertain assumptions remain visible.
- prioritization-frameworksCompares prioritization frameworks and their required inputs, helping a team select an approach suited to its decision rather than a universal score.
- product-strategyOrganizes product strategy around target segments, value, capabilities and tradeoffs, connecting a vision to the choices required to pursue it.
- release-notesConverts tickets and change records into user-facing release notes, organizing concrete changes by type and explaining their effects.
- researchwriteDrafts or revises a research proposal from supporting evidence, connecting the question and planned methods to a coherent research plan.
- retroFacilitates a sprint retrospective from team observations, producing prioritized improvements with owners and follow-up actions.
- review-resumeReviews a product-management resume against a target role, improving evidence, structure and relevance without inventing experience.
- sentiment-analysisAnalyzes feedback for sentiment and customer-job patterns, organizing evidence about satisfaction across distinct user segments.
- shipping-artifactsAssembles the durable documentation needed to review an AI-built application, covering architecture, permissions and operational evidence before shipping.
- sprint-planBuilds a sprint plan from capacity, candidate stories and dependencies, exposing delivery risks before the team commits to scope.
- sql-queriesDrafts SQL from a question and supplied schema information, targeting supported warehouse dialects while making the query's assumptions visible.
- stakeholder-mapMaps stakeholders by influence and interest, producing targeted communication approaches and a plan for keeping relevant people informed.
- startup-canvasCombines product strategy and business-model questions in a startup canvas, separating strategic choices from revenue and cost assumptions.
- strategy-red-teamStress-tests a product strategy's key assumptions, ranking plausible failure modes and inexpensive validation checks before delivery investment.
- summarize-interviewSynthesizes a customer interview into a structured record of jobs, satisfaction evidence and follow-up actions for product discovery.
- summarize-meetingTurns a meeting transcript into structured notes with decisions and assigned actions, keeping discussion context available for later follow-up.
- test-scenariosDerives test scenarios from user stories, recording starting conditions, roles, actions and expected results for systematic quality review.
- user-segmentationGroups users by behavior, needs and feedback evidence, producing actionable segments instead of treating the entire audience as one persona.
- user-storiesWrites backlog stories with acceptance criteria and supporting design context, applying story-quality conventions to make work discussable and testable.
- value-prop-statementsTurns an existing value proposition into customer-facing statements for marketing and onboarding, adapting wording to specific audience decisions.
- value-propositionDevelops a detailed customer value proposition by comparing the user's situation, desired change and alternatives before shaping the offer.
- wwasStructures a backlog item as purpose, change and acceptance conditions, connecting product intent to an independently testable piece of work.
Guides that use this category
Best Blender MCP Servers & Skills (2026)Blender MCP connects an AI client to a running Blender session through the Model Context Protocol, so the model can read your scene and run Python through Blender’s API.Blender Agent Skills
Install Claude Code Skills: Folder, Plugin & CLIChoose one of three ways to install Claude Code skills: copy a complete skill folder, install a plugin from its marketplace, or use npx skills add with Claude Code selected.frontend-designpdfvercel-react-best-practices
Claude Code Security: Audit & Hardening SkillsA Claude Code security review starts with an authorized scope and a question to investigate.Cloudflare Security Auditsecurity-and-hardening
Best Codex Skills (2026)Codex can use agent skills: folders with a SKILL.Skills for Real EngineersgstackTaste SkillawwwardsAI Slop DetectorGhostPaw Codexhuashu-motionLemo-OpuscarMachine SkillanatomyBlender Agent Skills
Best Claude Skills for Video EditingPick a Claude skill by the video you need to ship.huashu-motionpapercut-explainerLemo-OpuscarMachine Skill
Skills directory and structure FAQ
6 questions · what the directory is, how skill folders are laid out, how to submit
What is a Claude skills directory?
A Claude skills directory is a browsable catalog of reusable instructions for Claude and other agents, with links to their sources. AgentSkillsDir is an independent, source-linked directory for discovering Claude and Codex skills, plus separate MCP server and agent collections. It is not Anthropic’s official documentation or a hosted runtime.
What is the typical Claude / agent skills directory structure?
Under the common Agent Skills convention, each skill has its own folder with a SKILL.md file. Optional scripts/, references/ and assets/ folders hold supporting code, documents and templates. This is a common layout, not a requirement for every listed project: follow each repository’s layout and your client’s documentation.
How is AgentSkillsDir different from claude.com docs / skillmd?
AgentSkillsDir provides source links and independent editorial summaries to help you discover resources. It is separate from Anthropic’s official Claude documentation and from other directories such as skillmd. Use official documentation for Claude product behavior and each publisher’s repository for setup, compatibility and license terms. A listing does not certify safety or successful installation.
How do I find the best Claude skills or MCP servers from here?
Start with the task and client you need, then compare the source-linked entries. For focused shortlists, use the video skills, Codex skills or Cursor MCP guides below. Check each candidate’s prerequisites and source terms; inclusion is not a promise that it will work in your setup.
How do I submit a skill or MCP server?
Open the submission page and share the public repository or project URL for manual review. Nothing is published automatically, and listing is not guaranteed. If online intake is unavailable, email the public link to submit@agentskillsdir.com.
What is a SKILL.md file?
SKILL.md is the instruction file in an Agent Skills folder. In the standard format, YAML front matter records a name and description, followed by Markdown instructions explaining the task. Read it and any supporting scripts before enabling a skill; the file is instructions, not proof of an audited or tested workflow.
