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Devtool for creating, testing, and distributing Anthropic Agent Skills with lifecycle management, Skill ABI, and federated registries

Project description

Sutras

Devtool for Anthropic Agent Skills with lifecycle management.

Sutras Architecture

Sutras is a CLI tool and library for creating, validating, and managing Anthropic Agent Skills. It provides scaffolding, validation, and a standardized Skill ABI for better skill organization and quality.

PyPI - Version PyPI Downloads PyPI - Status Open Source maintenance-status License: MIT

Key Features

  • Scaffold: Generate skills with proper structure and best-practice templates
  • Validate: Check skill format, metadata, and quality standards
  • Discover: List and inspect available skills in your workspace
  • Manage: Organize skills with versioning and metadata
  • Test & Evaluate: Run tests and evaluate skills with metrics
  • Package: Build distributable tarballs with checksums
  • Distribute: Publish and install skills from federated Git-based registries
  • Integrations: First-class support for Claude Code and pi

Why Sutras?

Creating Anthropic Skills manually requires:

  • Writing SKILL.md files with correct YAML frontmatter
  • Managing metadata and descriptions
  • Ensuring consistent structure
  • Validating format and quality

Sutras automates this with simple CLI commands.

Installation

pip install sutras

Or with uv:

uv pip install sutras

Claude Code Integration

Install the sutras skill so Claude Code can create and manage skills:

sutras setup

Pi Integration

npm npm downloads

Install the sutras extension for pi (provides /sutras commands):

pi install npm:sutras

Quick Start

Create a New Skill

sutras new my-skill --description "What this skill does and when to use it"

This creates:

.claude/skills/my-skill/
├── SKILL.md           # Skill definition with YAML frontmatter
├── sutras.yaml        # Metadata (version, author, tests, etc.)
└── examples.md        # Usage examples

List Skills

sutras list

View Skill Details

sutras info my-skill

Validate a Skill

sutras validate my-skill

# Strict mode (warnings become errors)
sutras validate my-skill --strict

CLI Reference

Skill Development

# Create a new skill
sutras new <name> [--description TEXT] [--author TEXT] [--global]

# List skills
sutras list [--local/--no-local] [--global/--no-global]

# Show skill details
sutras info <name>

# Validate skill
sutras validate <name> [--strict]

# Run tests
sutras test <name> [--verbose] [--fail-fast]

# Evaluate with metrics
sutras eval <name> [--verbose] [--no-history] [--show-history]

Setup & Integrations

# Install sutras skill into Claude Code
sutras setup

# Check what would be installed
sutras setup --check

# Remove the skill from Claude Code
sutras setup --uninstall

Distribution

# Build distributable package
sutras build <name> [--output PATH] [--no-validate]

# Publish to registry
sutras publish [PATH] [--registry NAME] [--pr]

# Install from various sources
sutras install <SOURCE> [--version VERSION] [--registry NAME]
# SOURCE can be:
#   @namespace/skill-name           - From registry
#   github:user/repo@version        - From GitHub release
#   https://example.com/skill.tar.gz - From URL
#   ./skill.tar.gz                  - From local file

# Uninstall skill
sutras uninstall <skill-name> [--version VERSION]

Registry Management

# Add a registry
sutras registry add <name> <git-url> [--namespace NS] [--priority N] [--default]

# List registries
sutras registry list

# Remove registry
sutras registry remove <name>

# Update registry index
sutras registry update <name>
sutras registry update --all

# Build index for local registry
sutras registry build-index <path> [--output PATH]

Package and Distribute

Building Packages

# Build a distributable package
sutras build my-skill

# Build with custom output directory
sutras build my-skill --output ./packages

# Skip validation
sutras build my-skill --no-validate

Creates a versioned tarball (e.g., my-skill-1.0.0.tar.gz) in dist/ containing:

  • SKILL.md and sutras.yaml
  • Supporting files (examples.md, etc.)
  • MANIFEST.json with checksums and metadata

Requirements for distribution:

  • Version (semver format) in sutras.yaml
  • Author in sutras.yaml
  • License in sutras.yaml
  • Valid skill name and description
  • Scoped name format: @namespace/skill-name (required for registry publishing)

Publishing to Registry

# Publish to default registry
sutras publish

# Publish to specific registry
sutras publish --registry my-registry

# Use pull request workflow (for public registries)
sutras publish --pr

Publishing requirements:

  • All build requirements above
  • Skill name must be scoped: @username/skill-name
  • Registry must be configured with write access (or use --pr flag)

Installing Skills

Skills can be installed from multiple sources:

From Registry:

# Install latest version from any configured registry
sutras install @username/skill-name

# Install specific version
sutras install @username/skill-name --version 1.2.0

# Install from specific registry
sutras install @username/skill-name --registry company-registry

From GitHub Releases:

# Install latest release
sutras install github:username/repo

# Install specific version
sutras install github:username/repo@v1.0.0
sutras install github:username/repo@1.0.0

From Direct URL:

# Install from any HTTPS URL
sutras install https://example.com/skills/my-skill-1.0.0.tar.gz
sutras install https://github.com/user/repo/releases/download/v1.0.0/skill.tar.gz

From Local File:

# Install from local tarball
sutras install ./dist/my-skill-1.0.0.tar.gz
sutras install /path/to/skill.tar.gz

Installed skills are placed in:

  • ~/.claude/installed/ - Versioned skill installations
  • ~/.claude/skills/ - Symlinks to active versions

Note: GitHub releases and direct URL installs allow sharing skills without setting up a registry!

Registry Setup

# Add the official registry (example)
sutras registry add official https://github.com/anthropics/sutras-registry --default

# Add a company registry
sutras registry add company https://github.com/mycompany/skills-registry --priority 10

# Add a personal registry
sutras registry add personal https://github.com/myuser/my-skills

# Update all registry indexes
sutras registry update --all

Registry features:

  • Federated Git-based design (like Homebrew taps, Go modules)
  • No central infrastructure required
  • Private registries via Git authentication
  • Works offline with cached indexes
  • Multiple registry support with priority ordering

Skill Structure

Every skill contains:

SKILL.md (required)

Standard Anthropic Skills format with YAML frontmatter:

---
name: my-skill
description: What it does and when Claude should use it
allowed-tools: Read, Write  # Optional
---

# My Skill

Instructions for Claude on how to use this skill...

sutras.yaml (recommended)

Extended metadata for lifecycle management:

version: "1.0.0"
author: "Your Name"
license: "MIT"

capabilities:
  tools: [Read, Write]
  dependencies:
    - name: "@utils/common"
      version: "^1.0.0"
    - "@tools/formatter"  # shorthand, any version

distribution:
  tags: ["automation", "pdf"]
  category: "document-processing"

Dependency Version Constraints

Sutras supports npm-style semver constraints:

  • Exact: 1.0.0 - Only version 1.0.0
  • Caret: ^1.0.0 - Compatible with 1.x.x (>=1.0.0 <2.0.0)
  • Tilde: ~1.2.3 - Compatible with 1.2.x (>=1.2.3 <1.3.0)
  • Ranges: >=1.0.0 <2.0.0 - Explicit version ranges
  • Wildcards: 1.x, 1.2.x, * - Any matching version

Lock Files

When dependencies are resolved, Sutras creates a .sutras.lock file that pins exact versions for reproducible installations. This file should be committed to version control.

Supporting Files (optional)

  • examples.md - Usage examples
  • Additional resources as needed

Skill Locations

Skills are stored in:

  • Project: .claude/skills/ (shared via git)
  • Global: ~/.claude/skills/ (personal only)

Use --global flag with sutras new to create global skills.

Library Usage

from sutras import SkillLoader

loader = SkillLoader()
skills = loader.discover()           # Find all skills
skill = loader.load("my-skill")      # Load specific skill

print(skill.name)
print(skill.description)
print(skill.version)

Examples

See examples/skills/ for sample skills demonstrating best practices.

Contributing

Contributions welcome! See CONTRIBUTING.md for:

  • Development setup
  • Code style guidelines
  • Testing requirements
  • PR process

MIT LICENSE

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