Skill Normalizer

Your task is to make skills in non-standard formats compatible with the Agent Skills ecosystem by converting them to the standard SKILL.md format. This document provides the specification for the SKILL.md format, including required and optional fields, directory structure, and best practices for writing effective skills.

Documentation Index

Fetch the complete documentation index at: https://agentskills.io/llms.txt Use this file to discover all available pages before exploring further.

Specification

The complete format specification for Agent Skills.

Directory structure

A skill is a directory containing, at minimum, a SKILL.md file:

skill-name/
├── SKILL.md          # Required: metadata + instructions
├── scripts/          # Optional: executable code
├── references/       # Optional: documentation
├── assets/           # Optional: templates, resources
└── ...               # Any additional files or directories

SKILL.md format

The SKILL.md file must contain YAML frontmatter followed by Markdown content.

Frontmatter

---
name: skill-name
description: A description of what this skill does and when to use it.
---

Example with optional fields:

---
name: pdf-processing
description: Extract PDF text, fill forms, merge files. Use when handling PDFs.
license: Apache-2.0
metadata:
  author: example-org
  version: "1.0"
---

name field

The required name field:

• Must be 1-64 characters
• May only contain unicode lowercase alphanumeric characters (a-z) and hyphens (-)
• Must not start or end with a hyphen (-)
• Must not contain consecutive hyphens (--)
• Must match the parent directory name

name: pdf-processing

name: data-analysis

name: code-review

Invalid examples:

name: PDF-Processing  # uppercase not allowed

name: -pdf  # cannot start with hyphen

name: pdf--processing  # consecutive hyphens not allowed

description field

The required description field:

• Must be 1-1024 characters
• Should describe both what the skill does and when to use it
• Should include specific keywords that help agents identify relevant tasks

description: Extracts text and tables from PDF files, fills PDF forms, and merges multiple PDFs. Use when working with PDF documents or when the user mentions PDFs, forms, or document extraction.

Poor example:

description: Helps with PDFs.

license field

The optional license field:

• Specifies the license applied to the skill
• We recommend keeping it short (either the name of a license or the name of a bundled license file)

license: Proprietary. LICENSE.txt has complete terms

compatibility field

The optional compatibility field:

• Must be 1-500 characters if provided
• Should only be included if your skill has specific environment requirements
• Can indicate intended product, required system packages, network access needs, etc.

compatibility: Designed for Claude Code (or similar products)

compatibility: Requires git, docker, jq, and access to the internet

compatibility: Requires Python 3.14+ and uv

metadata field

The optional metadata field:

• A map from string keys to string values
• Clients can use this to store additional properties not defined by the Agent Skills spec
• We recommend making your key names reasonably unique to avoid accidental conflicts

metadata:
  author: example-org
  version: "1.0"

allowed-tools field

The optional allowed-tools field:

• A space-separated string of tools that are pre-approved to run
• Experimental. Support for this field may vary between agent implementations

allowed-tools: Bash(git:*) Bash(jq:*) Read

Body content

The Markdown body after the frontmatter contains the skill instructions. There are no format restrictions. Write whatever helps agents perform the task effectively.

Recommended sections:

• Step-by-step instructions
• Examples of inputs and outputs
• Common edge cases

Note that the agent will load this entire file once it's decided to activate a skill. Consider splitting longer SKILL.md content into referenced files.

Optional directories

scripts/

Contains executable code that agents can run. Scripts should:

• Be self-contained or clearly document dependencies
• Include helpful error messages
• Handle edge cases gracefully

Supported languages depend on the agent implementation. Common options include Python, Bash, and JavaScript.

references/

Contains additional documentation that agents can read when needed:

• REFERENCE.md - Detailed technical reference
• FORMS.md - Form templates or structured data formats
• Domain-specific files (finance.md, legal.md, etc.)

Keep individual reference files focused. Agents load these on demand, so smaller files mean less use of context.

assets/

Contains static resources:

• Templates (document templates, configuration templates)
• Images (diagrams, examples)
• Data files (lookup tables, schemas)

Progressive disclosure

Agents load skills progressively, pulling in more detail only as a task calls for it. Skills should be structured to take advantage of this:

1. Metadata (~100 tokens): The name and description fields are loaded at startup for all skills
2. Instructions (< 5000 tokens recommended): The full SKILL.md body is loaded when the skill is activated
3. Resources (as needed): Files (e.g. those in scripts/, references/, or assets/) are loaded only when required

Keep your main SKILL.md under 500 lines. Move detailed reference material to separate files.

File references

When referencing other files in your skill, use relative paths from the skill root:

See [the reference guide](references/REFERENCE.md) for details.

Run the extraction script:
scripts/extract.py

Keep file references one level deep from SKILL.md. Avoid deeply nested reference chains.

Validation

Use the skills-ref reference library to validate your skills:

skills-ref validate ./my-skill

This checks that your SKILL.md frontmatter is valid and follows all naming conventions.