Agent Skills File Guidelines

Agent Skills File Guidelines

Instructions for creating effective and portable Agent Skills that enhance GitHub Copilot with specialized capabilities, workflows, and bundled resources.

What Are Agent Skills?

Agent Skills are self-contained folders with instructions and bundled resources that teach AI agents specialized capabilities. Unlike custom instructions (which define coding standards), skills enable task-specific workflows that can include scripts, examples, templates, and reference data.

Key characteristics:

• Portable: Works across VS Code, Copilot CLI, and Copilot coding agent
• Progressive loading: Only loaded when relevant to the user's request
• Resource-bundled: Can include scripts, templates, examples alongside instructions
• On-demand: Activated automatically based on prompt relevance

Directory Structure

Skills are stored in specific locations:

Each skill must have its own subdirectory containing at minimum a SKILL.md file.

Required SKILL.md Format

Frontmatter (Required)

---
name: webapp-testing
description: Toolkit for testing local web applications using Playwright. Use when asked to verify frontend functionality, debug UI behavior, capture browser screenshots, check for visual regressions, or view browser console logs. Supports Chrome, Firefox, and WebKit browsers.license: Complete terms in LICENSE.txt
license: Complete terms in LICENSE.txt
---

Description Best Practices

CRITICAL: The description field is the PRIMARY mechanism for automatic skill discovery. Copilot reads ONLY the name and description to decide whether to load a skill. If your description is vague, the skill will never be activated.

What to include in description:

1. WHAT the skill does (capabilities)
2. WHEN to use it (specific triggers, scenarios, file types, or user requests)
3. Keywords that users might mention in their prompts

Good description:

description: Toolkit for testing local web applications using Playwright. Use when asked to verify frontend functionality, debug UI behavior, capture browser screenshots, check for visual regressions, or view browser console logs. Supports Chrome, Firefox, and WebKit browsers.

Poor description:

description: Web testing helpers

The poor description fails because:

• No specific triggers (when should Copilot load this?)
• No keywords (what user prompts would match?)
• No capabilities (what can it actually do?)

Body Content

The body contains detailed instructions that Copilot loads AFTER the skill is activated. Recommended sections:

Bundling Resources

Skills can include additional files that Copilot accesses on-demand:

Supported Resource Types

Directory Structure Example

.github/skills/my-skill/
├── SKILL.md              # Required: Main instructions
├── LICENSE.txt           # Recommended: License terms (Apache 2.0 typical)
├── scripts/              # Optional: Executable automation
│   ├── helper.py         # Python script
│   └── helper.ps1        # PowerShell script
├── references/           # Optional: Documentation loaded into context
│   ├── api_reference.md
│   ├── workflow-setup.md     # Detailed workflow (>5 steps)
│   └── workflow-deployment.md
├── assets/               # Optional: Static files used AS-IS in output
│   ├── baseline.png      # Reference image for comparison
│   └── report-template.html
└── templates/            # Optional: Starter code the AI agent modifies
    ├── scaffold.py       # Code scaffold the AI agent customizes
    └── config.template   # Config template the AI agent fills in

LICENSE.txt: When creating a skill, download the Apache 2.0 license text from https://www.apache.org/licenses/LICENSE-2.0.txt and save as LICENSE.txt. Update the copyright year and owner in the appendix section.

Assets vs Templates: Key Distinction

Assets are static resources consumed unchanged in the output:

• A logo.png that gets embedded into a generated document
• A report-template.html copied as output format
• A custom-font.ttf applied to text rendering

Templates are starter code/scaffolds that the AI agent actively modifies:

• A scaffold.py where the AI agent inserts logic
• A config.template where the AI agent fills in values based on user requirements
• A hello-world/ project directory that the AI agent extends with new features

Rule of thumb: If the AI agent reads and builds upon the file content → templates/. If the file is used as-is in output → assets/.

Referencing Resources in SKILL.md

Use relative paths to reference files within the skill directory.

Example syntax (adapt paths to your actual skill structure):

## Available Scripts

Run the \[helper script\]\(./scripts/helper.py\) to automate common tasks.

See \[API reference\]\(./references/api_reference.md\) for detailed documentation.

Use the \[scaffold\]\(./templates/scaffold.py\) as a starting point.

Progressive Loading Architecture

Skills use three-level loading for efficiency:

This means:

• Install many skills without consuming context
• Only relevant content loads per task
• Resources don't load until explicitly needed

Content Guidelines

Writing Style

• Use imperative mood: "Run", "Create", "Configure" (not "You should run")
• Be specific and actionable
• Include exact commands with parameters
• Show expected outputs where helpful
• Keep sections focused and scannable

Script Requirements

When including scripts, prefer cross-platform languages:

Best practices:

• Include help/usage documentation (--help flag)
• Handle errors gracefully with clear messages
• Avoid storing credentials or secrets
• Use relative paths where possible

When to Bundle Scripts

Include scripts in your skill when:

• The same code would be rewritten repeatedly by the agent
• Deterministic reliability is critical (e.g., file manipulation, API calls)
• Complex logic benefits from being pre-tested rather than generated each time
• The operation has a self-contained purpose that can evolve independently
• Testability matters — scripts can be unit tested and validated
• Predictable behavior is preferred over dynamic generation

Scripts enable evolution: even simple operations benefit from being implemented as scripts when they may grow in complexity, need consistent behavior across invocations, or require future extensibility.

Security Considerations

• Scripts rely on existing credential helpers (no credential storage)
• Include --force flags only for destructive operations
• Warn users before irreversible actions
• Document any network operations or external calls

Common Patterns

Parameter Table Pattern

Document parameters clearly:

| Parameter   | Required | Default | Description                  |
| ----------- | -------- | ------- | ---------------------------- |
| `--input`   | Yes      | -       | Input file or URL to process |
| `--action`  | Yes      | -       | Action to perform            |
| `--verbose` | No       | `false` | Enable verbose output        |

Validation Checklist

Before publishing a skill:

• SKILL.md has valid frontmatter with name and description
• name is lowercase with hyphens, ≤64 characters
• description clearly states WHAT it does, WHEN to use it, and relevant KEYWORDS
• Body includes when to use, prerequisites, and step-by-step workflows
• SKILL.md body kept under 500 lines (split large content into references/ folder)
• Large workflows (>5 steps) split into references/ folder with clear links from SKILL.md
• Scripts include help documentation and error handling
• Relative paths used for all resource references
• No hardcoded credentials or secrets

Workflow Execution Pattern

When executing multi-step workflows, create a TODO list where each step references the relevant documentation.

Example syntax (adapt paths to your actual skill structure):

## TODO

- [ ] Step 1: Configure environment - see \[workflow-setup.md\]\(./references/workflow-setup.md#environment\)
- [ ] Step 2: Build project - see \[workflow-setup.md\]\(./references/workflow-setup.md#build\)
- [ ] Step 3: Deploy to staging - see \[workflow-deployment.md\]\(./references/workflow-deployment.md#staging\)
- [ ] Step 4: Run validation - see \[workflow-deployment.md\]\(./references/workflow-deployment.md#validation\)
- [ ] Step 5: Deploy to production - see \[workflow-deployment.md\]\(./references/workflow-deployment.md#production\)

This ensures traceability and allows resuming workflows if interrupted.

Related Resources

• Agent Skills Specification
• VS Code Agent Skills Documentation
• Reference Skills Repository
• Awesome Copilot Skills