Skill Creator

This skill provides guidance for creating effective skills.

About Skills

Skills are modular, self-contained packages that extend the agent's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform the agent from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess.

What Skills Provide

1. •Specialized workflows - Multi-step procedures for specific domains
2. •Tool integrations - Instructions for working with specific file formats or APIs
3. •Domain expertise - Company-specific knowledge, schemas, business logic
4. •Bundled resources - Scripts, references, and assets for complex and repetitive tasks

Core Principles

Concise is Key

The context window is a public good. Skills share the context window with everything else the agent needs: system prompt, conversation history, other Skills' metadata, and the actual user request.

Default assumption: the agent is already very smart. Only add context the agent doesn't already have. Challenge each piece of information: "Does the agent really need this explanation?" and "Does this paragraph justify its token cost?"

Prefer concise examples over verbose explanations.

Set Appropriate Degrees of Freedom

Match the level of specificity to the task's fragility and variability:

High freedom (text-based instructions): Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.

Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.

Low freedom (specific scripts, few parameters): Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.

Think of the agent as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).

Anatomy of a Skill

Every skill consists of a required SKILL.md file and optional bundled resources:

skill-name/
├── SKILL.md (required)
│   ├── YAML frontmatter metadata (required)
│   │   ├── name: (required)
│   │   └── description: (required)
│   └── Markdown instructions (required)
└── Bundled Resources (optional)
    ├── scripts/          - Executable code (Python/Bash/etc.)
    ├── references/       - Documentation intended to be loaded into context as needed
    └── assets/           - Files used in output (templates, icons, fonts, etc.)

SKILL.md (required)

Every SKILL.md consists of:

• •Frontmatter (YAML): Contains name and description fields. These are the only fields that the agent reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used.
• •Body (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all).

Bundled Resources (optional)

Scripts (scripts/)

Executable code (TypeScript/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.

• •When to include: When the same code is being rewritten repeatedly or deterministic reliability is needed
• •Example: scripts/rotate_pdf.ts for PDF rotation tasks
• •Benefits: Token efficient, deterministic, may be executed without loading into context
• •Note: Scripts may still need to be read by the agent for patching or environment-specific adjustments

References (references/)

Documentation and reference material intended to be loaded as needed into context to inform the agent's process and thinking.

• •When to include: For documentation that the agent should reference while working
• •Examples: references/finance.md for financial schemas, references/mnda.md for company NDA template, references/policies.md for company policies, references/api_docs.md for API specifications
• •Use cases: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
• •Benefits: Keeps SKILL.md lean, loaded only when the agent determines it's needed
• •Best practice: If files are large (>10k words), include grep search patterns in SKILL.md
• •Avoid duplication: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.

Assets (assets/)

Files not intended to be loaded into context, but rather used within the output the agent produces.

• •When to include: When the skill needs files that will be used in the final output
• •Examples: assets/logo.png for brand assets, assets/slides.pptx for PowerPoint templates, assets/frontend-template/ for HTML/React boilerplate, assets/font.ttf for typography
• •Use cases: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
• •Benefits: Separates output resources from documentation, enables the agent to use files without loading them into context

What to Not Include in a Skill

A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:

• •README.md
• •INSTALLATION_GUIDE.md
• •QUICK_REFERENCE.md
• •CHANGELOG.md
• •etc.

The skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxilary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion.

Progressive Disclosure Design Principle

Skills use a three-level loading system to manage context efficiently:

1. •Metadata (name + description) - Always in context (~100 words)
2. •SKILL.md body - When skill triggers (<5k words)
3. •Bundled resources - As needed by the agent

Keep SKILL.md body under 500 lines. For detailed patterns and examples, see references/progressive-disclosure-patterns.md.

Skill Creation Process

Follow these steps in order:

1. •Understand the skill with concrete examples
2. •Plan reusable skill contents (scripts, references, assets)
3. •Initialize the skill (run init_skill.ts)
4. •Edit the skill (implement resources and write SKILL.md)
5. •Package the skill (run package_skill.ts)
6. •Iterate based on real usage

For detailed step-by-step guidance, see references/creation-workflow.md.