Reorganize: Move all skills to skills/ folder
- Created skills/ directory - Moved 272 skills to skills/ subfolder - Kept agents/ at root level - Kept installation scripts and docs at root level Repository structure: - skills/ - All 272 skills from skills.sh - agents/ - Agent definitions - *.sh, *.ps1 - Installation scripts - README.md, etc. - Documentation Co-Authored-By: Claude <noreply@anthropic.com>
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admin
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skills/bin/ralphloop
Executable file
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skills/bin/ralphloop
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#!/usr/bin/env python3
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"""
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RalphLoop - "Tackle Until Solved" Autonomous Agent Loop
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Integration of Ralph Orchestrator with Claude Code CLI.
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This script runs an autonomous agent loop that continues until the task is complete.
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Usage:
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./ralphloop "Your task description here"
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./ralphloop -i task.md
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./ralphloop --agent claude --max-iterations 50
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Environment Variables:
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ANTHROPIC_API_KEY Required for Claude agent
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RALPH_AGENT Override agent selection (claude, gemini, etc.)
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RALPH_MAX_ITERATIONS Override max iterations (default: 100)
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"""
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import os
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import sys
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import subprocess
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import argparse
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import json
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from pathlib import Path
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from datetime import datetime
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# Configuration
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DEFAULT_AGENT = "claude"
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DEFAULT_MAX_ITERATIONS = 100
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DEFAULT_MAX_RUNTIME = 14400 # 4 hours
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# Path to Ralph in venv
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SCRIPT_DIR = Path(__file__).parent.parent
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VENV_BIN = SCRIPT_DIR / ".venv" / "bin"
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RALPH_CMD = str(VENV_BIN / "ralph")
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def check_dependencies():
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"""Check if Ralph Orchestrator is available."""
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try:
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result = subprocess.run(
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[RALPH_CMD, "run", "-h"],
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capture_output=True,
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text=True,
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timeout=5
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)
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if result.returncode == 0 or "usage:" in result.stdout:
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return True
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except (FileNotFoundError, subprocess.TimeoutExpired):
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pass
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# Fallback: check if pip package is installed
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try:
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import ralph_orchestrator
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return True
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except ImportError:
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return False
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def create_ralph_project(task_description=None, task_file=None):
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"""Create a Ralph project in the current directory."""
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ralph_dir = Path(".ralph")
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ralph_dir.mkdir(exist_ok=True)
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# Create prompt file
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prompt_file = Path("PROMPT.md")
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if task_file:
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# Read from file
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content = Path(task_file).read_text()
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prompt_file.write_text(content)
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elif task_description:
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# Use inline task
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prompt_file.write_text(f"# Task: {task_description}\n\n<!-- Ralph will continue iterating until task is complete -->\n\n## Success Criteria\n\nThe task is complete when:\n- All requirements are implemented\n- Tests pass\n- Code is documented\n\n<!-- When complete, add <!-- COMPLETE --> marker to this file -->")
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else:
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print("Error: Either provide task description or task file")
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sys.exit(1)
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# Create config file
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config_file = Path("ralph.yml")
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config = {
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"agent": os.getenv("RALPH_AGENT", DEFAULT_AGENT),
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"prompt_file": "PROMPT.md",
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"max_iterations": int(os.getenv("RALPH_MAX_ITERATIONS", DEFAULT_MAX_ITERATIONS)),
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"max_runtime": int(os.getenv("RALPH_MAX_RUNTIME", DEFAULT_MAX_RUNTIME)),
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"verbose": True,
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"adapters": {
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"claude": {
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"enabled": True,
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"timeout": 300
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}
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}
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}
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import yaml
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with open(config_file, "w") as f:
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yaml.dump(config, f, default_flow_style=False)
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print(f"✅ Ralph project initialized")
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print(f" Prompt: {prompt_file}")
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print(f" Config: {config_file}")
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def run_ralph_loop(task=None, task_file=None, agent=None, max_iterations=None, max_runtime=None):
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"""Run the Ralph autonomous loop."""
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print("🔄 RalphLoop: 'Tackle Until Solved' Autonomous Agent Loop")
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print("=" * 60)
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# Initialize project
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create_ralph_project(task, task_file)
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# Build command
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cmd = [RALPH_CMD, "run"]
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if agent:
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cmd.extend(["-a", agent])
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if max_iterations:
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cmd.extend(["-i", str(max_iterations)])
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if max_runtime:
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cmd.extend(["-t", str(max_runtime)])
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cmd.append("-v") # Verbose output
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print(f"Command: {' '.join(cmd)}")
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print("=" * 60)
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# Run Ralph
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try:
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process = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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text=True,
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bufsize=1
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)
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# Stream output
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for line in process.stdout:
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print(line, end='', flush=True)
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process.wait()
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return process.returncode
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except KeyboardInterrupt:
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print("\n\n⚠️ Interrupted by user")
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return 130
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except Exception as e:
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print(f"❌ Error: {e}")
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return 1
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def main():
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parser = argparse.ArgumentParser(
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description="RalphLoop - Autonomous agent loop for Claude Code CLI",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=__doc__
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)
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parser.add_argument(
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"task",
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nargs="?",
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help="Task description (inline)"
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)
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parser.add_argument(
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"-i", "--input",
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dest="task_file",
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help="Read task from file"
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)
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parser.add_argument(
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"-a", "--agent",
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choices=["claude", "kiro", "q", "gemini", "acp", "auto"],
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default=os.getenv("RALPH_AGENT", DEFAULT_AGENT),
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help="AI agent to use"
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)
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parser.add_argument(
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"--max-iterations",
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type=int,
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default=int(os.getenv("RALPH_MAX_ITERATIONS", DEFAULT_MAX_ITERATIONS)),
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help="Maximum iterations"
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)
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parser.add_argument(
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"--max-runtime",
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type=int,
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default=int(os.getenv("RALPH_MAX_RUNTIME", DEFAULT_MAX_RUNTIME)),
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help="Maximum runtime in seconds"
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)
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parser.add_argument(
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"--init-only",
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action="store_true",
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help="Only initialize project, don't run"
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)
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args = parser.parse_args()
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# Check dependencies
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if not check_dependencies():
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print("⚠️ Ralph Orchestrator not found at:", RALPH_CMD)
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print("\nTo install:")
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print(f" .venv/bin/pip install ralph-orchestrator")
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print("\nFor now, creating project files only...")
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args.init_only = True
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# Initialize only mode
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if args.init_only:
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create_ralph_project(args.task, args.task_file)
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print("\n💡 To run the loop later:")
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print(f" {RALPH_CMD} run")
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return 0
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# Run the loop
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return run_ralph_loop(
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task=args.task,
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task_file=args.task_file,
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agent=args.agent,
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max_iterations=args.max_iterations,
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max_runtime=args.max_runtime
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)
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if __name__ == "__main__":
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sys.exit(main() or 0)
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