by snwfdhmp
A curated list of resources about Ralph, the AI coding technique that runs AI coding agents in automated loops until specifications are fulfilled.
# Add to your Claude Code skills
git clone https://github.com/snwfdhmp/awesome-ralphGuides for using ai agents skills like awesome-ralph.
Last scanned: 5/4/2026
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}awesome-ralph is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by snwfdhmp. A curated list of resources about Ralph, the AI coding technique that runs AI coding agents in automated loops until specifications are fulfilled. It has 916 GitHub stars.
Yes. awesome-ralph passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/snwfdhmp/awesome-ralph" and add it to your Claude Code skills directory (see the Installation section above).
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A curated list of resources about Ralph (aka Ralph Wiggum), the AI coding technique that runs AI coding agents in automated loops until specifications are fulfilled.
Ralph is a technique created by Geoffrey Huntley for autonomous AI coding. The core concept is elegantly simple:
while :; do cat PROMPT.md | claude-code ; done
Key principles:
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Primary sources from Geoffrey Huntley, the creator of the Ralph technique.
Comprehensive implementation guides covering the 3 Phases, 2 Prompts, 1 Loop workflow.
Phase 1: Define Requirements — Human + LLM conversation produces JTBD-aligned specifications Phase 2: Planning Mode — Gap analysis generates prioritized TODO list (no implementation) Phase 3: Building Mode — Implement from plan, run tests, commit, repeat
project-root/
├── loop.sh # Ralph loop script
├── PROMPT_build.md # Build mode instructions
├── PROMPT_plan.md # Plan mode instructions
├── AGENTS.md # Operational guide (~60 lines max)
├── IMPLEMENTATION_PLAN.md # Prioritized task list (generated)
├── specs/ # Requirement specs (one per JTBD)
└── src/ # Application source code