skilo

A CLI tool for Agent Skills development.

Installation

Quick install (recommended)

curl -sSfL https://raw.githubusercontent.com/manuelmauro/skilo/main/install.sh | sh

From crates.io

cargo install skilo

From source

# Clone the repository
git clone https://github.com/manuelmauro/skilo.git
cd skilo

# Install using make
make install

# Or directly with cargo
cargo install --path .

Using the Skilo Skill

Skilo includes a skill that teaches AI coding assistants how to use the CLI. Add it to your project to enable your assistant to create and validate skills:

# Install using skilo add
skilo add manuelmauro/skilo --skill use-skilo

Or manually with curl:

mkdir -p .claude/skills
curl -fsSL https://raw.githubusercontent.com/manuelmauro/skilo/main/.claude/skills/use-skilo/SKILL.md \
  -o .claude/skills/use-skilo/SKILL.md --create-dirs

Once installed, your AI assistant will be able to:

• Install skills from repositories using skilo add
• Create new skills using skilo new
• List installed skills with skilo list
• Detect installed agents with skilo agents
• Manage git cache with skilo cache
• Validate skills with skilo lint
• Format SKILL.md files with skilo fmt
• Extract skill metadata with skilo read-properties
• Generate agent prompts with skilo to-prompt
• Set up CI workflows for skill validation

Requirements

• Rust 1.92.0 (pinned in rust-toolchain.toml)

Usage

Install skills from repositories

# Install all skills from a GitHub repository
skilo add anthropics/skills

# Install a specific skill by name
skilo add vercel-labs/agent-skills --skill code-review

# Install multiple specific skills
skilo add owner/repo --skill lint-fix --skill test-runner

# List available skills without installing
skilo add anthropics/skills --list

# Install from a specific branch
skilo add owner/repo --branch develop

# Install from a specific tag
skilo add owner/repo --tag v1.0.0

# Non-interactive installation (for CI)
skilo add anthropics/skills --skill lint-fix --yes

# Install from a full URL
skilo add https://github.com/owner/repo

# Install from a direct skill path
skilo add https://github.com/owner/repo/tree/main/skills/my-skill

# Install from SSH URL
skilo add git@github.com:owner/repo.git

# Install from local path
skilo add ./path/to/skills

# Install to global skills directory
skilo add anthropics/skills --global

# Install to multiple agents
skilo add anthropics/skills --agent claude --agent cursor

# Install to all detected agents
skilo add anthropics/skills --agent all

Skills are installed to .claude/skills/<skill-name>/ by default (project-level). Use --global to install to ~/.claude/skills/ (user-level).

Create a new skill

# Create a skill with the default template (hello-world)
skilo new my-skill

# Use a specific template
skilo new my-skill --template minimal

# Specify the script language
skilo new my-skill --lang python

# Add a description and license
skilo new my-skill --description "My awesome skill" --license MIT

# Create a global skill
skilo new my-skill --global

# Create a skill for a specific agent
skilo new my-skill --agent cursor

Available templates:

• hello-world (default) - A minimal working skill with a greeting script
• minimal - Bare-bones skill with only SKILL.md
• full - Complete skill with all optional directories
• script-based - Skill focused on script execution

Supported languages: python, bash, javascript, typescript

Validate skills

# Lint a skill directory
skilo lint path/to/skill

# Lint all skills in current directory
skilo lint .

# Strict mode (treat warnings as errors)
skilo lint --strict .

# Auto-fix simple issues
skilo lint --fix .

Format skills

# Format SKILL.md files (includes table alignment)
skilo fmt path/to/skill

# Check formatting without modifying
skilo fmt --check .

# Show diff of changes
skilo fmt --diff .

Formatting includes:

• YAML frontmatter normalization
• Markdown table column alignment

Run all checks

# Run lint + format check (ideal for CI)
skilo check .

List installed skills

# List project skills
skilo list

# List skills from a specific project
skilo list /path/to/project

# List global skills only
skilo list --global

# List both project and global skills
skilo list --all

# List skills for a specific agent
skilo list --agent cursor

List detected agents

# Show detected agents with skill counts
skilo agents

# Show feature support matrix
skilo agents --verbose

Example output:

Project agents:
  Claude Code    .claude/skills/  (3 skills)
  Cursor         .cursor/skills/  (1 skill)

Global agents:
  Claude Code    ~/.claude/skills/  (2 skills)

Manage git cache

Skilo caches git repositories for faster repeated installs and offline usage:

# Show cache status and disk usage
skilo cache

# Show cache directory path
skilo cache path

# Clean checkouts older than 30 days (keeps bare repos for fast re-checkout)
skilo cache clean

# Clean checkouts older than 7 days
skilo cache clean --max-age 7

# Remove entire cache (bare repos + checkouts)
skilo cache clean --all

Example output:

Cache directory: /home/user/.skilo/git

  db/: 2 repositories, 1.2 MB
    anthropics-skills
    manuelmauro-moonbeam-skills

  checkouts/: 3 checkouts, 4.5 MB
    anthropics-skills-a1b2c3d (2 days ago)
    manuelmauro-moonbeam-skills-0c331b1 (just now)

Total: 5.7 MB

Read skill properties

Extract skill metadata as JSON for programmatic use:

# Read properties from a single skill (outputs JSON object)
skilo read-properties path/to/skill

# Read properties from multiple skills (outputs JSON array)
skilo read-properties path/to/skills/

# Read from multiple paths
skilo read-properties skill-a skill-b

Output includes: name, description, license, compatibility, metadata, allowed_tools, and path.

Generate agent prompts

Generate XML for use in agent system prompts:

# Generate XML for a single skill
skilo to-prompt path/to/skill

# Generate XML for all skills in a directory
skilo to-prompt path/to/skills/

Example output:

<available_skills>
  <skill>
    <name>my-skill</name>
    <description>A brief description of what the skill does.</description>
    <location>path/to/my-skill/SKILL.md</location>
  </skill>
</available_skills>

Output formats

All commands support multiple output formats:

skilo lint --format text .   # Human-readable (default)
skilo lint --format json .   # JSON output
skilo lint --format sarif .  # SARIF for code scanning integrations

Skill Structure

A valid skill follows this structure:

my-skill/
├── SKILL.md           # Required: manifest with YAML frontmatter
├── scripts/           # Optional: executable scripts
├── references/        # Optional: additional documentation
└── assets/            # Optional: static resources

SKILL.md Format

---
name: my-skill
description: A brief description of what the skill does.
license: MIT
---

# My Skill

Detailed documentation goes here.

Configuration

Create a .skilorc.toml file for project-specific settings:

[lint]
strict = true

[lint.rules]
name_format = true           # E001: Name format validation
name_length = 64             # E002: Name max length (false to disable)
name_directory = true        # E003: Name matches directory
description_required = true  # E004: Description not empty
description_length = 1024    # E005: Description max length (false to disable)
compatibility_length = 500   # E006: Compatibility max length (false to disable)
references_exist = true      # E009: Referenced files exist
body_length = 500            # W001: Max body lines (false to disable)
script_executable = true     # W002: Scripts are executable
script_shebang = true        # W003: Scripts have shebang

[fmt]
sort_frontmatter = true
indent_size = 2
format_tables = true

[new]
default_license = "MIT"
default_template = "hello-world"
default_lang = "python"

[add]
default_agent = "claude"  # See supported agents below
confirm = true            # Prompt before installing (false for CI)
validate = true           # Validate skills before installing

Configuring Rules

Rules with thresholds accept true (default), false (disabled), or a number:

[lint.rules]
name_directory = false       # Disable for monorepos
script_executable = false    # Disable for Windows
name_length = 128            # Custom max name length
description_length = false   # Disable description length check
body_length = 1000           # Custom max body lines

Supported Agents

The default_agent option supports the following AI coding assistants:

Environment Variables

CI Integration

Add skilo validation to your GitHub Actions workflow:

# .github/workflows/skills.yml
name: Validate Skills

on:
  push:
    branches: [main]
  pull_request:

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install Rust
        uses: dtolnay/rust-toolchain@stable

      - name: Install skilo
        run: cargo install skilo@0.7.2

      - name: Lint skills
        run: skilo lint . --strict

      - name: Check formatting
        run: skilo fmt . --check

To upload results to GitHub's Security tab, use SARIF output:

      - name: Run skilo check
        run: skilo lint . --format sarif > results.sarif
        continue-on-error: true

      - name: Upload SARIF
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: results.sarif

Exit Codes

License

MIT OR Apache-2.0