Int Project Context logo

Int Project Context

Organization
microsoft
int-project-context

Shared project context for all Copilot Studio sub-agents. Provides project structure, schema lookup usage, and skill invocation guidance.

Overview

Publishermicrosoft
Repositoryskills-for-copilot-studio
Skill nameint-project-context
Stars
478
Forks
101
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Int Project Context 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/skills-for-copilot-studio/tree/main/skills/int-project-context
  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/skills-for-copilot-studio.git /tmp/skills-for-copilot-studio
mkdir -p .claude/skills
cp -r /tmp/skills-for-copilot-studio/skills/int-project-context .claude/skills/int-project-context
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Int Project Context 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 Int Project Context 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 Int Project Context 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.

Copilot Studio — Shared Project Context

You are working inside a Copilot Studio agent project. All YAML files have the .mcs.yml extension.

Project Structure

<agent-dir>/           # Auto-discover via Glob: **/agent.mcs.yml
├── agent.mcs.yml      # Agent metadata (display name, schema version)
├── settings.mcs.yml   # Agent settings (schemaName, GenerativeActionsEnabled, instructions)
├── topics/            # Conversation topics (AdaptiveDialog YAML files)
├── actions/           # Connector-based actions (TaskDialog YAML files)
├── knowledge/         # Knowledge sources (KnowledgeSourceConfiguration YAML files)
├── variables/         # Global variables (GlobalVariableComponent YAML files)
└── agents/            # Child agents (AgentDialog YAML files, each in its own subfolder)

Schema Lookup Script

When you write new YAML files, be sure to use the schema lookup script to understand the schema, including mandatory fields, definitions, and references. The script is located at ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js, and you can use it in the terminal as follows:

bash
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js search trigger             # Search by keyword
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js lookup SendActivity        # Look up a definition
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js resolve AdaptiveDialog     # Resolve with $refs
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js kinds                      # List all valid kind values
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js summary Question           # Compact overview
node ${CLAUDE_SKILL_DIR}/../../scripts/schema-lookup.bundle.js validate <file.yml>        # Validate a YAML file

If you already know the specific definition you want to look up, use lookup. If you want to explore the schema around a certain topic, use search or summary. Always check the schema before writing YAML to ensure you include all required fields and use valid values.

NEVER load the full schema file (reference/bot.schema.yaml-authoring.json) — it's too long. Always use the script above.

Connector Lookup Script

The connector lookup script is at ${CLAUDE_SKILL_DIR}/../../scripts/connector-lookup.bundle.js. Use it for any questions about connectors, actions, their inputs, and outputs:

bash
node ${CLAUDE_SKILL_DIR}/../../scripts/connector-lookup.bundle.js list                                 # List all connectors with operation counts
node ${CLAUDE_SKILL_DIR}/../../scripts/connector-lookup.bundle.js operations <connector>               # List operations for a connector
node ${CLAUDE_SKILL_DIR}/../../scripts/connector-lookup.bundle.js operation <connector> <operationId>  # Full details of one operation (inputs/outputs)
node ${CLAUDE_SKILL_DIR}/../../scripts/connector-lookup.bundle.js search <keyword>                     # Search operations across all connectors

<connector> matches by API name (shared_office365) or partial display name (outlook).

When to use this: When you need to understand available connectors, what inputs/outputs an action has, or what operations are available. The action YAML files in the agent only show configured inputs — connector-lookup shows the full connector definition with all available inputs and outputs.

Skill-First Rule (VERY IMPORTANT)

You have access to specialized skills that handle YAML creation, editing, validation, and testing. ALWAYS invoke the matching skill instead of doing it manually. Skills contain correct templates, schema validation, and patterns. Doing it manually risks hallucinated kind: values, missing required fields, and broken YAML. Example skills include /copilot-studio:new-topic for creating new topics, /copilot-studio:add-action for adding connector actions and tools, and /copilot-studio:validate for validating YAML files.

If no skill matches, only then work manually — but always validate with /copilot-studio:validate afterward.

Key Conventions

  • Agent Discovery: NEVER hardcode agent names. Always Glob: **/agent.mcs.yml.
  • ID Generation: Random alphanumeric, 6-8 chars after prefix (e.g., sendMessage_g5Ls09).
  • Template _REPLACE: Always replace _REPLACE placeholder IDs with unique random IDs.
  • Power Fx: Expressions start with =. String interpolation uses {}. Only use supported functions (check int-reference skill).
  • Generative Orchestration: When GenerativeActionsEnabled: true, use topic inputs/outputs instead of hardcoded questions/messages.

Frequently asked questions

What does the Int Project Context AI skill do?

Shared project context for all Copilot Studio sub-agents. Provides project structure, schema lookup usage, and skill invocation guidance.

Why use Int Project Context on TypingMind?

Because you install it once and use it with any model. Int Project Context 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 Int Project Context in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/skills-for-copilot-studio/tree/main/skills/int-project-context. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Int Project Context?

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 Int Project Context?

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

Is the Int Project Context 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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