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実際に使われている Agent Skills。
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 8,287
- リポジトリ
- 1288
- 最終同期
- 2026/09/16
vercel-labsfind-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
- 導入数
- 341.5万
- GitHub Stars
- 3.2万
- 更新日
- 9月14日
mattpocockgrill-me
A relentless interview to sharpen a plan or design.
- 導入数
- 114.9万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockgrill-with-docs
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
- 導入数
- 98.1万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockimprove-codebase-architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
- 導入数
- 93.6万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpococktdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
- 導入数
- 90.8万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
anthropicsfrontend-design
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
- 導入数
- 89万
- GitHub Stars
- 17.7万
- 更新日
- 9月10日
vercel-labsagent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
- 導入数
- 86.1万
- GitHub Stars
- 4.3万
- 更新日
- 9月15日
mattpococksetup-matt-pocock-skills
Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
- 導入数
- 83.9万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockhandoff
Compact the current conversation into a handoff document for another agent to pick up.
- 導入数
- 81万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpococktriage
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
- 導入数
- 79.1万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockprototype
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
- 導入数
- 78.6万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
vercel-labsvercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
- 導入数
- 71.6万
- GitHub Stars
- 3.1万
- 更新日
- 8月28日
mattpocockgrilling
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
- 導入数
- 70.7万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockteach
Teach the user a new skill or concept, within this workspace.
- 導入数
- 65.9万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockdomain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
- 導入数
- 64万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
vercel-labsweb-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
- 導入数
- 63.7万
- GitHub Stars
- 3.1万
- 更新日
- 8月28日
mattpocockcodebase-design
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
- 導入数
- 62万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
mattpocockdiagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
- 導入数
- 60.8万
- GitHub Stars
- 26.3万
- 更新日
- 9月15日
microsoftmicrosoft-foundry
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
- 導入数
- 59.2万
- GitHub Stars
- 1482
- 更新日
- 9月15日
skills-101ai-video-generation
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
- 導入数
- 59.2万
- GitHub Stars
- 16
- 更新日
- 8月3日
microsoftazure-diagnostics
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, service bus dead letter.
- 導入数
- 58.4万
- GitHub Stars
- 1482
- 更新日
- 9月15日
microsoftazure-prepare
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
- 導入数
- 58.3万
- GitHub Stars
- 1482
- 更新日
- 9月15日
microsoftazure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
- 導入数
- 58.3万
- GitHub Stars
- 1482
- 更新日
- 9月15日
microsoftazure-deploy
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \"run azd up\", \"run azd deploy\", \"execute deployment\", \"push to production\", \"push to cloud\", \"go live\", \"ship it\", \"bicep deploy\", \"terraform apply\", \"publish to Azure\", \"launch on Azure\". DO NOT USE WHEN: \"create and deploy\", \"build and deploy\", \"create a new app\", \"set up infrastructure\", \"create and deploy to Azure using Terraform\" — use azure-prepare for these.
- 導入数
- 58.3万
- GitHub Stars
- 1482
- 更新日
- 9月15日