cd5c39811d
Added comprehensive Ralph Orchestrator integration documentation:
1. requirements.txt
- ralph-orchestrator (core dependency for /ralph command)
- pyyaml (for config parsing)
- Comments explaining each dependency
2. Updated supercharge.sh
- Enhanced Ralph installation with dual detection:
* Checks for 'ralph' command in PATH
* Checks for ralph_orchestrator Python package
- Installs from requirements.txt if available
- Falls back to direct pip install
- Provides helpful error messages with installation instructions
- Confirms successful installation with detailed status
3. Updated README.md with new section "Ralph Orchestrator"
- What is Ralph Orchestrator and how it works
- Installation methods (automatic, manual, system-wide)
- Detailed breakdown of our Ralph integration:
* bin/ralphloop wrapper script (6,290 bytes, 223 lines)
* skills/ralph/ Claude Code skill
* skills/brainstorming/ multi-AI integration
* hooks/ralph-auto-trigger.sh automatic triggering
* hooks/qwen-consult.sh Qwen AI consultation
- File structure created by Ralph
- Environment variables reference
- Troubleshooting guide
- Ralph Orchestrator source links
The /ralph command will now work properly on:
- This machine (ralph already installed)
- Fresh clones (supercharge.sh auto-installs ralph-orchestrator)
- Any machine with pip3 available
Co-Authored-By: Claude <noreply@anthropic.com>
20 lines
633 B
Plaintext
20 lines
633 B
Plaintext
# Python Dependencies for SuperCharged Claude Code
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# Install with: pip install -r requirements.txt
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# Core: Ralph Orchestrator - Autonomous "Tackle Until Solved" agent loop
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# Used by: /ralph command, ralphloop wrapper, autonomous iteration
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ralph-orchestrator>=0.1.0
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# Optional: YAML parsing for ralph configuration
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# Used by: ralphloop script, agent sync scripts
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pyyaml>=6.0
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# Optional: jq alternative for JSON parsing in Python
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# Used by: Some hooks and scripts that need JSON manipulation
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# Install if you don't have jq installed: apt-get install jq
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# Development dependencies (optional)
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# pytest>=7.0
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# black>=23.0
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# mypy>=1.0
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