AI Skills Framework Guide

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This guide defines the AI skills framework, detailing skill folder structure (SKILL.md, scripts, references) and progressive disclosure operation. It helps when creating, describing, or using modular skills for AI agents.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude Code
#skills#ai-agents#workflow-automation#reusable-tasks

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Automated summary

Defines a standardized format for creating reusable AI agent skills, including metadata, instructions, and associated resources.

Strengths

  • Modular structure facilitating reuse and sharing
  • Progressive disclosure to save context
  • Includes scripts, templates, and references alongside instructions

Limitations

  • Requires initial setup for each skill
  • Context overhead can be significant if many skills are loaded
  • Relies on agent system for correct interpretation
When to use it

Use this format to package repetitive or complex tasks that the agent should execute reliably.

When not to use it

Avoid for one-off or very simple tasks where a direct instruction is sufficient.

Security analysis

Safe
Quality score92/100

The file is purely documentation describing the SKILL format and does not instruct any tool usage or execution of commands.

No concerns found

How this analysis is made

Examples

Create a code review skill
Create a new skill for code review. Include metadata, instructions for reviewing code, and a checklist template in the assets folder.
Activate a skill for web research
Activate the web-research skill to find the latest pricing information on AWS EC2 instances.

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SKILL

A skill is essentially a folder containing a SKILL.md file. This file contains metadata (at minimum, a name and description) and instructions that tell an agent how to perform a specific task. Skills may also include scripts, templates, and reference materials.

my-skill/
├── SKILL.md          # Required: instructions + metadata
├── scripts/          # Optional: executable code
├── references/       # Optional: documentation
└── assets/           # Optional: templates, resources

How SKILL Works

Skills use Progressive Disclosure to efficiently manage context.

  • Discovery: The agent loads only the name and description of each available skill at startup. This is the minimum information needed to determine when a skill might be relevant.
  • Activation: When a task matches a skill's description, the agent reads the full instructions from the SKILL.md file into context.
  • Execution: The agent follows the instructions, loading referenced files or executing bundled code as needed.

SKILL.md Format

All skills start with a SKILL.md file containing YAML frontmatter and Markdown instructions.

---
name: web-research
description: Perform comprehensive research through web search and analysis
allowed-tools: WebFetch, Grep
license: MIT
---

# instructions

When using this Skill...

## Step 1: Search

...

Required Fields

  • name: kebab-case format (e.g., web-research)
  • description: What the Skill does and when to use it

Optional Fields

  • license: Skill license
  • compatibility: Compatibility information
  • allowed-tools: Tool patterns the Skill can use
  • metadata: Custom key-value pairs

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/ai-skills-framework-guide-mm5t8ahl/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/ai-skills-framework-guide-mm5t8ahl' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/ai-skills-framework-guide-mm5t8ahl/download' --output '.skill-downloads/ai-skills-framework-guide-mm5t8ahl/SKILL.md.part' && mv '.skill-downloads/ai-skills-framework-guide-mm5t8ahl/SKILL.md.part' '.skill-downloads/ai-skills-framework-guide-mm5t8ahl/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/ai-skills-framework-guide-mm5t8ahl/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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