Agent skills

Skills for codex

9,699 skills that declare support for codex. The SKILL.md format is shared, so most of these work in the other agents too — the declaration only says where the author tested it.

Toolclaude-code 62,644codex 9,699cursor 6,852copilot 2,269windsurf 126cline 82
CategoryWorkflow & Productivity 11,684AI & Agents 4,965Data & Analytics 4,693Code Review & Quality 2,936Security 2,762Backend & API 2,480Design & Presentation 2,329Documentation 2,157Content & Marketing 2,001Testing & QA 1,723DevOps & Cloud 1,266Databases 1,124Frontend 1,015Business & Finance 706Media & Video 507Other 21,420
9,699 found
6,6256,672 · page 139 / 203
faceup-automationAutomate Faceup tasks via Rube MCP (Composio). Always search tools first for current schemas.ComposioHQfacilitation-workshop-deliveryDesign and facilitate engaging professional development workshops using adult learning principles and active learning strategiesa5c-aiwritesfacility-layout-optimizerFacility layout optimization skill for material flow minimization and space utilization.a5c-aiwritesfact-check-x-completeCompare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked…sickn33factorial-automationAutomate Factorial tasks via Rube MCP (Composio). Always search tools first for current schemas.ComposioHQfactsManage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint…avfacts-discoverScan the codebase and classify every fact by lifecycle stage — tag @draft, @spec, or @implemented based on what the code actually…avfacts-implementOperate on @spec facts — implement them in code, then tag @implemented. Use when asked to implement facts, implement the spec…avfacts-refineOperate on @draft facts — collaboratively refine them into precise, actionable @spec facts. Resolve ambiguities, fill gaps…avfaf-contextGet your project to 100% ✪ AI-readiness, fast — the AI auto-detects your stack and only asks for what it can't know (your goal…sickn33faf-goGuided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages…sickn33fai-inspectionSkill for first article inspection planning and execution per AS9102a5c-aiwritesfailure-analysisSystematic failure analysis methodology for mechanical component failuresa5c-aiwritesfal-3dGenerate 3D models from text or images via fal.ai. Useful for game assets, AR previews, product mockups, and concept sculpting.nexu-iofal-ai-mediaUnified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video…mturacfal-generateGenerate images and videos using fal.ai AI models. Production-grade catalogue covering Flux, SDXL, ideogram, and other…nexu-iofal-image-editAI-powered image editing with style transfer, background removal, object removal, and inpainting via fal.ai hosted models.nexu-iofal-image-editAI-powered image editing with style transfer and object removalsickn33fal-kling-o3Generate images and videos with Kling O3 — Kling's most powerful model family — via fal.ai.nexu-iofal-lip-syncCreate talking head videos and lip sync audio to video via fal.ai. Useful for explainer avatars, multilingual dubbing previews…nexu-iofal-platformPlatform APIs for model management, pricing, and usage trackingsickn33fal-realtimeReal-time and streaming AI image generation via fal.ai. Suited for moodboard exploration, draft variations, and rapid creative…nexu-iofal-restoreRestore and fix image quality — deblur, denoise, fix faces, and restore old documents using fal.ai's hosted restoration models.nexu-iofal-trainTrain custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.nexu-iofal-tryonVirtual try-on — see how clothes look on a person via fal.ai's hosted try-on models. Useful for ecommerce, lookbooks, and styling…nexu-iofal-upscaleUpscale and enhance image and video resolution using AI super-resolution models hosted on fal.ai.nexu-iofal-video-editEdit existing videos using AI — remix style, upscale, remove background, and add audio via fal.ai's hosted video models.nexu-iofal-visionAnalyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.nexu-iofal-workflowGenerate workflow JSON files for chaining AI modelssickn33fallacy-detection-analysisIdentify formal and informal logical fallacies in arguments, classify fallacy types, and explain precisely why reasoning fails…a5c-aiwritesfaq-collector将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。CherryHQfastapi-patternsFastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and…mturacfastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern…sickn33fastapi-router-pyCreate FastAPI routers following established patterns with proper authentication, response models, and HTTP status codes.sickn33fastqc-quality-analyzerSequencing quality control skill for assessing read quality, adapter contamination, and sequence compositiona5c-aiwritesfatigue-analysisSpecialized skill for fatigue life assessment and durability prediction under cyclic loading conditionsa5c-aiwritesfatigue-dtSpecialized skill for fatigue life prediction and damage tolerance assessmenta5c-aiwritesfatigue-life-predictorFatigue life prediction skill for implants and load-bearing devices using validated approachesa5c-aiwritesfda-510k-submission-generatorAutomated 510(k) premarket notification preparation for generating submission packages, predicate device comparisons, and…a5c-aiwritesfda-food-safety-auditorExpert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls.sickn33fda-medtech-compliance-auditorExpert AI auditor for Medical Device (SaMD) compliance, IEC 62304, and 21 CFR Part 820. Reviews DHFs, technical files, and…sickn33fda-qsr-audit-prep/cs:fda-qsr-audit-prep <scope> — FDA 21 CFR 820 (QSR / QMSR) audit 6-question forcing interrogation. Post-Feb 2026 substantially…alirezarezvanifea-mesh-generatorFinite element mesh generation skill optimized for biomedical geometries including implants, anatomical structures, and tissue…a5c-aiwritesfea-structuralDeep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domainsa5c-aiwritesfea-structural-engineFinite Element Analysis skill for linear and nonlinear structural analysis, modal analysis, and load combination processinga5c-aiwritesfeathery-automationAutomate Feathery tasks via Rube MCP (Composio). Always search tools first for current schemas.ComposioHQfeature-trackingMaintain durable feature-level memory across AI coding sessions with lightweight Markdown tracks for status, source-of-truth…sickn33federation-auditQuery federation audit logs with compliance filteringruvnet
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How the catalog works
What is an agent skill?

A folder with a SKILL.md inside — instructions, and often scripts and assets, that an AI agent loads when the task matches. Claude Code, Codex, Cursor and Copilot all read the same format, so one skill usually works across them.

Where does this catalog come from?

We read 660 source repositories straight from their file trees rather than from submitted listings — what you see is what is actually published. 98 repositories were rejected because they advertise skills but contain none: link lists, not folders.

Why is there no install counter?

Because install counts live in the registry that serves `npx skills add`, and that is not ours — publishing a number we cannot verify would be worse than showing none. Instead we show where a skill comes from and whether attention around its source is actually growing, measured from our own weekly snapshots.

Do you deduplicate?

Yes, and it matters more than expected. Aggregator repositories republish the same skill in several places — one source carried 6,317 SKILL.md files for 2,001 actual skills. We collapse by folder name and keep the canonical copy, so the catalog counts things, not copies.

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