915 skills · sorted by relevance
交互式生成 GitHub Copilot agents.md 文件的工作流。当用户请求创建代理、构建自定义 Copilot 代理、生成 agents.md 或需要帮助配置 GitHub Copilot 自定义代理时使用。触发短语包括"创建代理"、"生成 agent.md"、"做一个文档代理"、"生成测试代理"等涉及 GitHub Copilot 代理配置的请求。
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Reusable learnings: セッション中の再利用知見を構造化し、ドメイン別（microsoft / copilot など）に振り分けて出力。Use when: knowledge, lessons learned, 知見化。作業ログは export-session-log、対話再現は export-copilot-session-dialogue を使う
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Run a retro for personal global ~/.copilot assets and turn incident learnings into updates for copilot-instructions, instructions, skills, agents, and hooks. Not for workspace/repository assets or a private skills repository. Triggers on retro, retrospective, incident learning, error analysis, copilot setup, instructions update, インシデント, and 知見反映.
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Scaffold a Spec Kit (spec-driven development) project for GitHub Copilot by running `specify init --integration copilot --integration-options="--skills"`. USE FOR: starting a new spec-kit project, bootstrapping spec-driven development in an existing repo, installing spec-kit templates/scripts/commands for Copilot. DO NOT USE FOR: managing extensions/presets/bundles of an already-initialized project (use the speckit-extension / speckit-preset / speckit-bundle skills instead).
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Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas. Use in Copilot CLI when an idea is easier to sketch than to describe in text.
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Use when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring, provider setup, and first working chat integration.
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Use when building AI-powered features with CopilotKit v2 -- adding chat interfaces, registering frontend tools, sharing application context with agents, handling agent interrupts, and working with the CopilotKit runtime.
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Reads Copilot conversation history and extracts executive-ready success stories. Use when the user asks to study prior Copilot sessions, summarize what was done before, mine evidence, or quantify time, cost, risk, and priority alignment from GitHub Copilot history in any workspace or repository.
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GitHub Copilot用のスキル（Agent Skills）を新規作成・改修する際に使用。「新しいスキルを作りたい」「既存スキルを改善したい」という依頼時に起動。要件ヒアリング→段階的開示設計→SKILL.md作成→リソース設計→検証の流れで進める。GitHub Copilotのコンテキスト制限（トークン上限）を考慮した簡潔な設計を重視。
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Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
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Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
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Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).
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Build a Java MCP server, a service that lets AI agents call Java code, APIs, or databases. The skill prepares a Maven or Gradle project, implements tools, adds tests, and configures client connections.
Plan the deployment and management of MCP-connected agents in Microsoft 365. Get admin center instructions for approval, user and group assignments, access controls, security reviews, and monitoring throughout the agent lifecycle.
Help junior developers and AI newcomers understand code through guided questions and progressive hints. Support debugging, concept learning, and critical review of AI-generated code so learners can explain their reasoning and work toward solutions themselves.
Build scroll animations with GSAP or Framer Motion, including fade-ins, parallax effects that move layers at different speeds, pinned sections, and horizontal scrolling. Provides implementation patterns for vanilla JavaScript, React, and Next.js, with accessibility guidance.
Creates a new domain-specific skin for reskinnable-demo, combining branding, layouts, pages, data, tools, and an agent. Structures live sales demonstrations around visible AI interactions, including generated interfaces, shared state, confirmations, and memory features.
Run repeated reviews of research work, implement fixes, and request another assessment for up to four rounds by default. The workflow records progress and stops when both the review score and verdict meet its acceptance rules.
Assess a website separately for five AI search services, including ChatGPT and Google AI Overviews. Compare scores, identify gaps in content and platform presence, and receive actions organized by priority and timeframe.
Set up a Unity project for use with AI agents. Guides installation of unity-mcp-cli and the Unity-MCP plugin, configures MCP connections that let agents access tools, and generates agent skill files.
Adds Microsoft Copilot Studio connector to a Power Apps code app. Use when invoking Copilot Studio agents, sending prompts to agents, or integrating agent responses.
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Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when sizing VMs, generating Bicep/Terraform, configuring Cosmos DB chat storage, or designing Azure networks, and other Azure Copilot related development tasks. Not for Azure Portal (use azure-portal), Azure Machine Learning (use azure-machine-learning), Azure DevOps (use azure-devops), Microsoft Foundry (use microsoft-foundry).
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Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
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Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
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