One search for your own team's files and the public ecosystem. See how real projects write their agent instructions, and bring the good ideas home.
bytedanceSkillbytedance/deer-flow/skills/public/vercel-deploy/SKILL.md
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
GoogleSkillgoogle/skills/skills/cloud/agent-platform-deploy/SKILL.md
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for public Vertex AI deployments (use `vertex-deploy` skill) or for running model evaluations (use `agent-platform-eval-flywheel` skill).
VercelSkillvercel-labs/agent-skills/skills/deploy-to-vercel/SKILL.md
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
OpenAISkillopenai/skills/skills/.curated/vercel-deploy/SKILL.md
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Hugging FaceSkillhuggingface/skills/skills/hf-cloud-sagemaker-deployment-planner/SKILL.md
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.
GitHubSkillgithub/awesome-copilot/skills/qdrant-deployment-options/SKILL.md
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
GitHubSkillgithub/awesome-copilot/skills/azure-deployment-preflight/SKILL.md
Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.
garrytanSkillgarrytan/gstack/land-and-deploy/SKILL.md
Land and deploy workflow. (gstack)
garrytanSkillgarrytan/gstack/setup-deploy/SKILL.md
Configure deployment settings for /land-and-deploy.
MicrosoftSkillmicrosoft/promptflow/.github/skills/maf-online-endpoint/SKILL.md
Deploy a Microsoft Agent Framework (MAF) workflow as a managed online endpoint to an Azure ML workspace or an Azure AI Foundry hub-based project. Wraps any workflow into an init()/run() scoring script, creates conda environment, endpoint and deployment YAMLs, deploy script, and assigns RBAC. Supports managed identity auth and Application Insights tracing. WHEN: deploy MAF workflow, deploy agent-framework workflow, create online endpoint for MAF, deploy workflow to AML, deploy workflow to Foundry project, managed online endpoint for agent workflow, wrap workflow in scoring script, deploy agent as endpoint, realtime endpoint in Foundry project.
OpenAISkillopenai/skills/skills/.curated/netlify-deploy/SKILL.md
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.
VercelSkillvercel/next.js/.agents/skills/deploy-release-test/SKILL.md
Validate a commit-specific Next.js preview package and manually trigger the entire Next.js deployment test suite through the test_e2e_deploy_release.yml GitHub Actions workflow. Use only when asked to run the full deploy test suite or this workflow specifically from an internal vercel/next.js PR branch. Do not use for focused deployment-test sanity checks; run the relevant tests locally with pnpm test-deploy instead. Covers resolving the latest branch SHA, waiting for vercel-packages, preserving default workflow inputs, dispatching the workflow, and verifying the run.
NVIDIASkillNVIDIA/SkillSpector/tests/fixtures/sqp/sqp1_clean/SKILL.md
Deploy infrastructure using Terraform
MicrosoftSkillmicrosoft/ai-agents-for-beginners/.agents/skills/deploying-scalable-agents/SKILL.md
Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/ar/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # نشر عوامل قابلة للتوسع باستخدام Microsoft Foundry > مهارة مرافق لدروس [الدرس 16 – نشر عوامل قابلة للتوسع](../../../16-deploying-scalable-agents/README.md). > استخدمها لمساعدة المتعلم على نقل وكيل من
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/bg/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # Разгръщане на мащабируеми агенти с Microsoft Foundry > Придружаващо умение за [Урок 16 – Разгръщане на мащабируеми агенти](../../../16-deploying-scalable-agents/README.md). > Използвайте го, за да помогнете на учащия
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/bn/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # মাইক্রোসফট ফাউন্ড্রির সাথে স্কেলযোগ্য এজেন্ট মোতায়েন > [Lesson 16 – Deploying Scalable Agents](../../../16-deploying-scalable-agents/README.md) এর সঙ্গী দক্ষতা। > এটি ব্যবহার করে একজন শেখার্থীকে সাহায্য করুন একটি এজেন্টকে
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/cs/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # Nasazení škálovatelných agentů s Microsoft Foundry > Doplňková dovednost k [Lekci 16 – Nasazení škálovatelných agentů](../../../16-deploying-scalable-agents/README.md). > Použijte ji k pomoci studentovi přesunout agenta z prototypu
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/da/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # Udrulning af skalerbare agenter med Microsoft Foundry > Følgesvendskompetence til [Lektion 16 – Udrulning af skalerbare agenter](../../../16-deploying-scalable-agents/README.md). > Brug den til at hjælpe en lærende
MicrosoftSkillmicrosoft/ai-agents-for-beginners/translations/de/.agents/skills/deploying-scalable-agents/SKILL.md
name: deploying-scalable-agents license: MIT --- # Bereitstellung skalierbarer Agenten mit Microsoft Foundry > Begleitfähigkeiten für [Lektion 16 – Bereitstellung skalierbarer Agenten](../../../16-deploying-scalable-agents/README.md). > Verwenden Sie diese, um einem Lernenden zu helfen, einen Agenten
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
