charlie-agents 0.1.0

Universal command transpiler for AI agents, MCP servers, and rules

Charlie - Universal Command Transpiler

Define slash commands, MCP servers, and agent rules once in YAML. Generate for any AI agent.

Charlie is a universal command definition system that transpiles YAML configurations into agent-specific formats for AI assistants, MCP servers, and IDE rules.

Features

• ✨ Single Definition: Write commands once in YAML
• 🤖 Multi-Agent Support: Generate for 15+ AI agents (Claude, Copilot, Cursor, Gemini, Windsurf, and more)
• 🔌 MCP Integration: Generate MCP server configurations with tool schemas
• 📋 Rules Generation: Create agent-specific rules files with manual preservation
• 🎯 Auto-Detection: Automatically finds charlie.yaml or .charlie/ directory
• 🚀 Zero Config: Works without any configuration file - infers project name from directory
• ⚡ Runtime Targeting: Choose which agents to generate for at runtime
• 📦 Library & CLI: Use as CLI tool or import as Python library

Quick Start

Installation

# From source (until PyPI release)
pip install -e /path/to/charlie

Create Configuration (Optional)

Charlie works without any configuration file! It will infer your project name from the directory name.

For advanced features, create charlie.yaml in your project:

version: "1.0"  # Optional, defaults to "1.0"

project:
  name: "my-project"      # Optional, inferred from directory name
  command_prefix: "myapp" # Optional, omit for simple command names

mcp_servers:
  - name: "myapp-commands"
    command: "node"
    args: ["dist/mcp-server.js"]

commands:
  - name: "init"
    description: "Initialize a new feature"
    prompt: |
      ## User Input

      {{user_input}}

      ## Instructions

      1. Parse the description
      2. Run: {{script}}
    scripts:
      sh: "scripts/init.sh"
      ps: "scripts/init.ps1"

What's Optional?

• The entire charlie.yaml file (project name inferred from directory)
• project.name field (inferred from directory name)
• project.command_prefix (commands use simple names like init.md instead of myapp.init.md)

Generate Outputs

# Setup for specific agent
charlie setup claude

# Setup with rules
charlie setup cursor --rules

# Setup with MCP and rules
charlie setup claude --mcp --rules

# Validate configuration
charlie validate

Usage

CLI Commands

setup

Setup agent-specific configurations:

# Auto-detect charlie.yaml
charlie setup claude

# Explicit config file
charlie setup gemini --config my-config.yaml

# Setup with MCP and rules
charlie setup claude --mcp --rules

# Custom output directory
charlie setup cursor --output ./build

validate

Validate YAML configuration:

# Auto-detect charlie.yaml
charlie validate

# Specific file
charlie validate my-config.yaml

list-agents

List all supported AI agents:

charlie list-agents

info

Show detailed information about an agent:

charlie info claude
charlie info gemini

Library API

Use Charlie programmatically in Python:

from charlie import CommandTranspiler

# Initialize with config
transpiler = CommandTranspiler("charlie.yaml")

# Setup for Claude with MCP and rules
results = transpiler.generate(
    agent="claude",
    mcp=True,
    rules=True,
    output_dir="./output"
)

# Setup for Gemini with rules
results = transpiler.generate(
    agent="gemini",
    rules=True,
    output_dir="./output"
)

# Generate only MCP config
mcp_file = transpiler.generate_mcp("./output")

# Generate only rules for an agent
rules_files = transpiler.generate_rules(
    agent="cursor",
    output_dir="./output"
)

Supported Agents

Charlie supports 15+ AI agents with built-in knowledge of their requirements:

Agent	Format	Directory	Notes
Claude Code	Markdown	.claude/commands/	✅ Full support
GitHub Copilot	Markdown	.github/prompts/	✅ Full support
Cursor	Markdown	.cursor/commands/	✅ Full support
Gemini CLI	TOML	.gemini/commands/	✅ Full support
Qwen Code	TOML	.qwen/commands/	✅ Full support
Windsurf	Markdown	.windsurf/workflows/	✅ Full support
Kilo Code	Markdown	.kilocode/workflows/	✅ Full support
opencode	Markdown	.opencode/command/	✅ Full support
Codex CLI	Markdown	.codex/prompts/	✅ Full support
Auggie CLI	Markdown	.augment/commands/	✅ Full support
Roo Code	Markdown	.roo/commands/	✅ Full support
CodeBuddy CLI	Markdown	.codebuddy/commands/	✅ Full support
Amp	Markdown	.agents/commands/	✅ Full support
Amazon Q Developer	Markdown	.amazonq/prompts/	✅ Full support

Run charlie list-agents for the complete list.

Configuration

Charlie is zero-config by default - it works without any configuration file and infers the project name from your directory name.

For advanced features, Charlie supports two configuration approaches:

1. Monolithic - Single charlie.yaml file (good for small projects)
2. Directory-Based - Modular files in .charlie/ directories (good for large projects)

Directory-Based Configuration (Recommended)

For better organization and collaboration, use the directory-based approach. The charlie.yaml file is optional - if you only have a .charlie/ directory, Charlie will infer the project name from the directory:

project/
├── charlie.yaml              # Optional: Project metadata (name inferred if omitted)
└── .charlie/
    ├── commands/
    │   ├── init.md          # One file per command (markdown with frontmatter)
    │   └── deploy.md
    ├── rules/
    │   ├── commit-messages.md  # One file per rule section (markdown with frontmatter)
    │   └── code-style.md
    └── mcp-servers/
        └── local-tools.yaml    # MCP servers still use YAML

Benefits:

• Clear organization (one file per command/rule)
• No merge conflicts on single file
• Easy to add/remove components
• Better for version control diffs
• Native markdown support for rich documentation

Command File (.charlie/commands/init.md):

---
name: "init"
description: "Initialize feature"
allowed-tools: Bash(mkdir:*) # Claude-specific
tags: ["init", "setup"]
category: "project"
scripts:
  sh: "scripts/init.sh"
---

## User Input

{{user_input}}

## Instructions

Initialize the feature and run: {{script}}

Rules File (.charlie/rules/code-style.md):

---
title: "Code Style"
order: 1
alwaysApply: true  # Cursor-specific
globs: ["**/*.py"]  # Cursor-specific
priority: "high"    # Windsurf-specific
---

## Formatting

Use Black for formatting with max line length: 100.

See examples/directory-based/ for a complete example.

Monolithic YAML Schema

For simpler projects, use a single charlie.yaml file. All fields are optional:

version: "1.0" # Optional: Schema version (defaults to "1.0")

project:
  name: "project-name"     # Optional: Inferred from directory name if omitted
  command_prefix: "prefix" # Optional: Used in /prefix.command-name, omit for simple names

# MCP server definitions (optional)
mcp_servers:
  - name: "server-name"
    command: "node"
    args: ["server.js"]
    env:
      KEY: "value"

# Rules configuration (optional)
rules:
  title: "Custom Title"
  include_commands: true
  include_tech_stack: true
  preserve_manual: true

# Command definitions (required)
commands:
  - name: "command-name"
    description: "Command description"
    prompt: |
      Command prompt template

      User input: {{user_input}}
      Run: {{script}}
    scripts:
      sh: "path/to/script.sh"
      ps: "path/to/script.ps1"
    agent_scripts: # Optional agent-specific scripts
      sh: "path/to/agent-script.sh"

Placeholders

Charlie supports these universal placeholders in commands and rules:

Content Placeholders:

• {{user_input}} → Replaced with agent-specific input placeholder ($ARGUMENTS or {{args}})
• {{script}} → Replaced with the appropriate script path based on platform
• {{agent_script}} → Replaced with optional agent-specific script path

Path Placeholders:

• {{root}} → Resolves to the project root directory
• {{agent_dir}} → Resolves to agent's base directory (e.g., .claude, .cursor)
• {{commands_dir}} → Resolves to agent's commands directory (e.g., .claude/commands/)
• {{rules_dir}} → Resolves to agent's rules directory (e.g., .claude/rules/)

These path placeholders are especially useful in rules content when referencing agent-specific locations.

Agent-Specific Fields

Charlie uses pass-through fields - add any agent-specific field to your commands or rules, and Charlie will include them in generated output:

Command Fields:

# Claude-specific
allowed-tools: Bash(git add:*), Bash(git commit:*)

# Generic metadata
tags: ["git", "vcs"]
category: "source-control"

Rules Fields:

# Cursor-specific
alwaysApply: true
globs: ["**/*.py", "!**/test_*.py"]

# Windsurf-specific
priority: "high"
categories: ["style", "formatting"]

Charlie extracts these fields and includes them in agent-specific output (YAML frontmatter for Markdown agents, TOML fields for TOML agents). See AGENT_FIELDS.md for details on which agents support which fields.

Rules Generation Modes

Generate rules files in two modes:

Merged Mode (default) - Single file with all sections:

charlie setup cursor --rules --rules-mode merged

Separate Mode - One file per section:

charlie setup cursor --rules --rules-mode separate

Use merged mode for simple projects, separate mode for better organization in complex projects.

Output Examples

Agent Command (Markdown)

Generated .claude/commands/myapp.init.md:

---
description: Initialize a new feature
---

## User Input

```text
$ARGUMENTS
```

Instructions

1. Parse the description
2. Run: scripts/init.sh

### Agent Command (TOML)

Generated `.gemini/commands/myapp.init.toml`:

```toml
description = "Initialize a new feature"

prompt = """
## User Input

{{args}}

## Instructions

1. Parse the description
2. Run: scripts/init.sh
"""

MCP Server Config

Generated mcp-config.json:

{
  "mcpServers": {
    "myapp-commands": {
      "command": "node",
      "args": ["dist/mcp-server.js"],
      "capabilities": {
        "tools": {
          "enabled": true,
          "list": [
            {
              "name": "myapp_init",
              "description": "Initialize a new feature",
              "inputSchema": {
                "type": "object",
                "properties": {
                  "input": { "type": "string" }
                },
                "required": ["input"]
              }
            }
          ]
        }
      }
    }
  }
}

Rules File

Generated .windsurf/rules/charlie-rules.md:

# Development Guidelines

Auto-generated by Charlie from configuration
Last updated: 2025-01-15

## Available Commands

- `/myapp.init` - Initialize a new feature

## Command Reference

### /myapp.init

**Description**: Initialize a new feature

**Usage**: `/myapp.init <input>`

**Scripts**:

- Bash: `scripts/init.sh`
- PowerShell: `scripts/init.ps1`

<!-- MANUAL ADDITIONS START -->
<!-- Your custom rules here - preserved on regeneration -->
<!-- MANUAL ADDITIONS END -->

Examples

See examples/ directory for complete examples:

• examples/simple.yaml - Basic configuration
• examples/speckit.yaml - Spec-kit inspired configuration

Development

Running Tests

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=charlie

Project Structure

charlie/
├── src/charlie/          # Main package
│   ├── agents/           # Agent adapters
│   ├── cli.py            # CLI interface
│   ├── transpiler.py     # Core engine
│   ├── mcp.py            # MCP generator
│   ├── rules.py          # Rules generator
│   ├── parser.py         # YAML parser
│   └── schema.py         # Pydantic schemas
├── tests/                # Test suite
├── examples/             # Example configurations
└── README.md

Use Cases

1. Unified Command Interface

Define commands once, setup for any AI assistant:

charlie setup claude
charlie setup copilot
charlie setup cursor

2. MCP Server Setup

Setup agent with MCP server configurations:

charlie setup claude --mcp

3. IDE Rules Management

Setup agent with rules files:

charlie setup windsurf --rules
charlie setup cursor --rules

4. CI/CD Integration

Setup agent-specific configs during build:

from charlie import CommandTranspiler

transpiler = CommandTranspiler("charlie.yaml")

# Setup for Claude
transpiler.generate(
    agent="claude",
    mcp=True,
    output_dir="./dist"
)

# Setup for Copilot
transpiler.generate(
    agent="copilot",
    mcp=True,
    output_dir="./dist"
)

Contributing

Contributions welcome! Key areas:

• Adding support for new AI agents
• Improving documentation
• Adding more examples
• Bug fixes and tests

License

MIT

Acknowledgments

Charlie was inspired by the need to maintain consistent command definitions across multiple AI agents in the Spec Kit project.