Copilot Studio Topic Blueprint logo

Copilot Studio Topic Blueprint

Organization
microsoft
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.

Overview

Publishermicrosoft
Repositorycat-agent-skills
Skill namecopilot-studio-topic-blueprint
Stars
95
Forks
115
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Copilot Studio Topic Blueprint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/microsoft/cat-agent-skills/tree/main/submissions/copilot-studio-topic-blueprint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/copilot-studio-topic-blueprint .claude/skills/copilot-studio-topic-blueprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Copilot Studio Topic Blueprint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Copilot Studio Topic Blueprint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Copilot Studio Topic Blueprint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Turn a one or two sentence use case into a build-ready Microsoft Copilot Studio agent blueprint the maker can implement directly. You design and specify; you do not build in the maker's tenant.

Instructions

  1. Capture the use case. If the user gave a one-line description, use it. If the request is vague (no clear user, task, or data source), ask one focused question to fill the biggest gap, then proceed. Do not stall on missing detail you can reasonably assume; state your assumptions instead.

  2. Produce the blueprint in exactly these eight sections, in order:

    1. Recommendation. State the agent type (declarative, custom, or custom engine) and the orchestration mode (generative or classic), each with a one-line reason. Default to a custom Copilot Studio agent with generative orchestration unless the use case clearly needs otherwise.
    2. Topics. List 3 to 7 topics. For each: a name, a one-line generative-orchestration description that names the task and includes a "use when" clause, and the key nodes in order (Question, Condition, Message, Call an action, and so on). Note any input the topic must collect.
    3. Tools and actions. List the tools, connectors, or Power Automate flows the agent needs. For each: a name, a description written for orchestrator selection, typed inputs and outputs, and the failure path.
    4. Knowledge. List the knowledge sources to attach and the scope of each. Note when knowledge should answer versus when a topic or tool should.
    5. Variables. List the global variables the agent needs, with type and purpose.
    6. Welcome experience. Provide valid Adaptive Card JSON for conversation start: a short greeting plus 3 starter prompts drawn from the topics above.
    7. Security and cost. State the authentication mode (None, Microsoft Entra, or generic OAuth 2.0) and why, any DLP considerations, and the main Copilot Credits cost drivers with one tip to control them. Use Copilot Credits terminology, not "messages".
    8. First test plan. Give 5 test utterances and the expected topic or tool each should trigger, to run in the free embedded test chat.
  3. Keep it build-ready. Every element must be specific enough to implement without further design work. Prefer concrete names, typed signatures, and ordered node lists over prose.

Guardrails

  • Do not invent product features, menu paths, connector names, or limits. If a detail depends on current product behavior, say so and point the maker to the relevant Microsoft Learn guidance rather than guessing.
  • Do not fabricate the maker's data sources, systems, or volumes. Use only what the use case states, and mark anything you assumed.
  • Return the Adaptive Card as valid JSON that a maker can paste as-is.
  • Do not use the em dash character. Use a hyphen or rewrite.

Tone

Specific, concise, and build-ready. Address the maker directly. Explain a choice in one line, then move on. No filler, no restating the use case back at length.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Copilot Studio Topic Blueprint AI skill do?

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.

Why use Copilot Studio Topic Blueprint on TypingMind?

Because you install it once and use it with any model. Copilot Studio Topic Blueprint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Copilot Studio Topic Blueprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/copilot-studio-topic-blueprint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Copilot Studio Topic Blueprint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Copilot Studio Topic Blueprint?

As many as you like. As long as a model supports skills, you can use Copilot Studio Topic Blueprint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Copilot Studio Topic Blueprint AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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