AI Agents skills

Newest skills

503 skills

clarifying-scenarios

Evaluates whether a user's modernization/rewrite request provides enough scenario context to proceed (e.g., target component library, screenshots, design system for frontend; API contract policy, data migration strategy for backend). Produces a deterministic clarity score, asks the user for missing required fields via a structured form, and writes a canonical `clarification.md` artifact consumed by all downstream agents. Triggers: "clarification gate", "scenario clarification", "elicit missing context", "evaluate prompt completeness", "ask user for screenshots / target library / design system"

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copilot-sdk

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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trigger-pipelines-for-copilot-pr

Trigger ADO pipelines for a Copilot-created PR by posting /azp run comments. Use when the user asks to trigger CI pipelines for a specific PR.

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copilot-studio-workflow

Development workflow for building, syncing, packaging, and shipping Copilot Studio agents. Use this skill when working with Copilot Studio YAML files (agent.mcs.yml, topics, actions, variables), when pulling or pushing agent changes, when packaging solutions for distribution, or when troubleshooting common Copilot Studio platform issues. Triggers on: Copilot Studio, MCS, agent.mcs.yml, .mcs.yml files, pac CLI, Power Platform solution, pull from cloud, push to cloud, publish agent, solution packaging, heartbeat flow, Power Automate flows.

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eval-triage-and-improvement

Use this skill when the user's Copilot Studio agent evaluations have come back and they need to interpret scores, diagnose root causes of underperforming test cases, find remediation steps, or analyze patterns to improve their agent. Always use this skill when the user mentions: "eval failed", "why did this fail", "triage", "diagnose failure", "low pass rate", "fix evaluation results", "not passing", "failing test cases", "evaluation results", "improve my eval scores", or any situation where eval scores need interpretation and action.

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eval-result-interpreter

Analyzes Copilot Studio evaluation results using Practical Guidance on Agent Evaluation's 10-step playbook (Steps 6, 7, and 9) plus Microsoft's triage diagnostics. Returns a gate-based SHIP / ITERATE / BLOCK verdict with root cause classification, remediation, and pattern analysis.

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eval-faq

Answers AI agent evaluation methodology questions with practical, opinionated guidance grounded primarily in Microsoft's agent evaluation ecosystem (MS Learn, Eval Scenario Library, Triage & Improvement Playbook, Eval Guidance Kit) supplemented by select industry sources.

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path-safety

服务端路径安全与文件访问编码规范。在编写文件下载路由、Agent 工具（文件读取/目录列出）、数据连接器/Loader、Workspace 路径操作、沙箱配置时使用。

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language-injection

LLM Agent 多语言注入规范。在修改 Agent 提示词、添加新的 Agent 端点、处理用户可见的后端消息（message_code）时使用。

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mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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conductor

Validate, run, and execute workflows; creating new workflows when explicitly asked. Use when orchestrating AI agents via YAML workflow files, executing an existing workflow, debugging execution, configuring routing between agents, setting up human-in-the-loop gates, or understanding workflow YAML schema. Only create new workflows when explicitly asked.

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skill-authoring-coach

Use this skill when the user asks to create, improve, review, package, genericise, or submit an Agent Skill, SKILL.md file, skill metadata, or reusable agent instruction bundle.

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microsoft-ai-platform-advisor

Use this skill when the user needs to choose the right Microsoft AI platform for a project, is comparing Microsoft 365 Copilot, Agent Builder, Copilot Studio, Microsoft Foundry, Foundry Agent Service, Windows AI Foundry, or Agent 365, needs to gather requirements for an AI or agent build, needs a solution architecture recommendation, needs to estimate effort as technical complexity and risk, or asks any variant of "which platform should I use", "how do I choose", "help me scope this AI project", or "what's the right tool for this AI use case".

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lookup-dataverse-table

Use this skill whenever the user wants to search, browse, or look up records in a Microsoft Dataverse table — for example "look up accounts", "find opportunities for Contoso", "show me contact details", or "search cases by status". Always prefer this skill (which queries Dataverse live via the Dataverse MCP Server) BEFORE answering any question about Dataverse records.

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grab-my-files

Bundle every file the agent produced in this session into a single timestamped .zip and hand it back as a download. Use when the user asks to "export all produced files", "zip my files", "package everything you made", "bundle my files", "give me all the files", or similar. Files are read from /app/created/. Do NOT use to fetch a single named file the user can already download on its own, to create or convert a file, or to save/persist files to SharePoint, OneDrive, or Dataverse — those are separate flows, not a local zip-and-download.

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enterprise-agent-design-authority

Use this skill whenever the user asks to review, assess, validate, improve, govern, or prepare a Microsoft Copilot Studio agent, multi-agent solution, or enterprise AI architecture before implementation. Apply an enterprise architecture assessment before proposing implementation or design changes.

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create-copilot-adoption-dashboard

Turns the four Microsoft admin center (MAC) Copilot activity exports into a populated, single-file HTML adoption dashboard using the Copilot Adoption Analysis framework (Pillars A–E and the KPI scorecard). Triggered by the `create-copilot-adoption-dashboard` command. Use when the user asks to "create a Copilot adoption dashboard", "populate the adoption dashboard template", "build my MAC report dashboard", "generate a Copilot usage dashboard", "turn my Copilot exports into a dashboard", or "make an adoption at-a-glance report". It first explains the process, then collects a company name (requi

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copilot-studio-topic-blueprint

Use this skill whenever the user describes a Copilot Studio agent in a sentence or two and wants a build-ready blueprint, or asks how to design, scope, or structure an agent (its type, topics, tools, knowledge, or welcome experience). Trigger on requests like "design a Copilot Studio agent that…", "turn this use case into an agent", "how should I structure this agent", or a pasted one-line use case. Do NOT trigger for testing an existing agent (that is the test-planner skill) or for generic Power Platform flows unrelated to an agent.

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copilot-studio-harness-picker

Assess business, experience, channel, identity, orchestration, governance, maturity, and cost requirements to recommend the right Microsoft Copilot Studio harness: GitHub Copilot, standard, or Copilot chat. Use when asked which harness to choose, what to build something with, agent versus workflow, classic versus new experience, whether to migrate or rebuild an existing agent, multi-channel architecture, licensing or Copilot Credit estimates, or whether a Microsoft platform outside Copilot Studio fits better. Supports Quick and Detailed modes and produces an evidence-labelled Harness Decision

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copilot-studio-agent-test

Test Microsoft Copilot Studio agents programmatically against a set of question/answer pairs, without driving a browser. Use when the user wants to evaluate, test, validate, benchmark or regression-test a Copilot Studio agent; run an eval set or test set against an agent; check whether an agent answers correctly from its knowledge bases; verify agent grounding or citations; or ask a Copilot Studio agent a question from the command line. Triggers include 'test my Copilot Studio agent', 'run an eval against the agent', 'validate agent answers', 'check the agent knowledge base', 'ask the agent',

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copilot-agent-advisor

Recommends which Microsoft 365 / Copilot Studio agent option fits a described scenario — using Microsoft 365 Copilot as-is, building a standard (declarative) agent, or building a custom (custom engine) agent — and which Copilot Studio harness to build on (GitHub Copilot, standard, or Copilot chat). Use when the user asks "which agent type should I build", "declarative vs custom engine agent", "standard agent or custom agent", "should I use Copilot Studio or Microsoft 365 Copilot", "which Copilot Studio harness", "help me choose a Copilot agent", or describes an agent scenario and wants a recom

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clipchamp-video

Create narrated demo/explainer videos of a live web app or agent, with real screen-flow footage under an AI (Ava neural) voiceover. Use whenever the user wants to "make a video", "record a demo", "create a walkthrough", "screen record an agent/app and narrate it", "build a Clipchamp video", "produce a product demo", or turn a Copilot Studio / web-app flow into a narrated MP4. FIRST ask the user which assembly method to use: (A) headless ffmpeg + edge-tts Ava — fast, scripted, produces a finished MP4 directly — or (B) the Clipchamp web UI — slower, but leaves an editable Clipchamp project for h

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ai-usecase-assessment

Use this skill whenever the user says "assess this use case", "score my AI use case", "prioritise these agent ideas", "generate a use case assessment report", or "update my AI use case report" — or when they attach a use-case document, SDR, or prior `*_AI_UseCase_Assessment_Report_*.html` and ask you to assess, strengthen, score, or refresh it. Invoke BEFORE writing any assessment content and BEFORE generating any report.

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agent-red-team

Run an adversarial assurance review of a Microsoft Copilot Studio agent you own — generate and execute test cases for indirect prompt injection, oversharing and authorization bypass, data leakage, scope escape and tool misuse — then score the findings and map each one to a concrete Copilot Studio control. Use when someone asks to red team, pen test, adversarially test, jailbreak-test or security-review an agent, wants a prompt injection or data leakage assessment before go-live, or needs security sign-off and a risk report for an agent handling sensitive data.

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