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Agent Customization

OrganizationPopular
microsoft
agent-customization

**WORKFLOW SKILL** — Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MCP docs directly); VS Code extension development. INVOKES: file system tools (read/write customization files), ask-questions tool (interview user for requirements), subagents for codebase exploration. FOR SINGLE OPERATIONS: For quick YAML frontmatter fixes or creating a single file from a known pattern, edit the file directly — no skill needed.

Overview

Publishermicrosoft
Repositoryvscode
Skill nameagent-customization
Stars
192.7K
Forks
42.7K
Bundled files
6
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.

  • 6 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 Agent Customization 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.
  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/vscode.git /tmp/vscode
mkdir -p .claude/skills
cp -r /tmp/vscode/extensions/copilot/assets/prompts/skills/agent-customization .claude/skills/agent-customization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Customization 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 Agent Customization 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 Agent Customization 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.

Agent Customization

Decision Flow

PrimitiveWhen to Use
agent instructionsAlways-on, applies everywhere in the project
File InstructionsExplicit via applyTo patterns, or on-demand via description
MCPIntegrates external systems, APIs, or data
HooksDeterministic shell commands at agent lifecycle points (block tools, auto-format, inject context)
Custom AgentsSubagents for context isolation, or multi-stage workflows with tool restrictions
PromptsSingle focused task with parameterized inputs
SkillsOn-demand workflow with bundled assets (scripts/templates)

Quick Reference

Consult the reference docs for templates, domain examples, advanced frontmatter options, asset organization, anti-patterns, and creation checklists. If the references are not enough, load the official documentation links for each primitive.

TypeFileLocationReference
agent instructionscopilot-instructions.md, AGENTS.md.github/ or rootLink
File Instructions*.instructions.md.github/instructions/Link
Prompts*.prompt.md.github/prompts/Link
Hooks*.json.github/hooks/Link
Custom Agents*.agent.md.github/agents/Link
SkillsSKILL.md.github/skills/<name>/, .agents/skills/<name>/, .claude/skills/<name>/Link

User-level: {{VSCODE_USER_PROMPTS_FOLDER}}/ (*.prompt.md, *.instructions.md, *.agent.md; not skills) Customizations roam with user's settings sync

Creation Process

If you need to explore or validate patterns in the codebase, use a read-only subagent. If the ask-questions tool is available, use it to interview the user and clarify requirements.

Follow these steps when creating any customization file.

1. Determine Scope

Ask the user where they want the customization:

  • Workspace: For project-specific, team-shared customizations → .github/ folder
  • User profile: For personal, cross-workspace customizations → {{VSCODE_USER_PROMPTS_FOLDER}}/

2. Choose the Right Primitive

Use the Decision Flow above to select the appropriate file type based on the user's need.

3. Create the File

Create the file directly at the appropriate path:

  • Use the location tables in each reference file
  • Include required frontmatter as needed
  • Add the body content following the templates

4. Validate

After creating:

  • Confirm the file is in the correct location
  • Verify frontmatter syntax (YAML between --- markers)
  • Check that description is present and meaningful

Edge Cases

Instructions vs Skill? Does this apply to most work, or specific tasks? Most → Instructions. Specific → Skill.

Skill vs Prompt? Both appear as slash commands in chat (type /). Multi-step workflow with bundled assets → Skill. Single focused task with inputs → Prompt.

Skill vs Custom Agent? Same capabilities for all steps → Skill. Need context isolation (subagent returns single output) or different tool restrictions per stage → Custom Agent.

Hooks vs Instructions? Instructions guide agent behavior (non-deterministic). Hooks enforce behavior via shell commands at lifecycle events like PreToolUse or PostToolUse — they can block operations, require approval, or run formatters deterministically. Hooks can be defined in standalone .json files (see hooks reference) or inline in custom agent frontmatter via the hooks attribute (see agents reference).

Common Pitfalls

Description is the discovery surface. The description field is how the agent decides whether to load a skill, instruction, or agent. If trigger phrases aren't IN the description, the agent won't find it. Use the "Use when..." pattern with specific keywords.

YAML frontmatter silent failures. Unescaped colons in values, tabs instead of spaces, name that doesn't match folder name — all cause silent failures with no error message. Always quote descriptions that contain colons: description: "Use when: doing X".

applyTo: "**" burns context. This means "always included for every file request" — it loads the instruction into the context window on every interaction, even when irrelevant. Use specific globs (**/*.py, src/api/**) unless the instruction truly applies to all files.

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 Agent Customization AI skill do?

**WORKFLOW SKILL** — Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MC...

Why use Agent Customization on TypingMind?

Because you install it once and use it with any model. Agent Customization 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 Agent Customization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/vscode/tree/main/extensions/copilot/assets/prompts/skills/agent-customization. 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 Agent Customization?

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 Agent Customization?

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

Is the Agent Customization 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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