ralph-zero
Next-generation autonomous development orchestrator with cognitive feedback loops. Executes complex multi-step features from PRDs through iterative agent sessions with quality verification, context synthesis, and recursive learning. Use when implementing features that require multiple stories, exceed single context windows, or need autonomous execution with quality guarantees. Replaces manual iteration with intelligent orchestration.
npx skills add majiayu000/claude-skill-registry --skill ralph-zero --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ralph Zero: Next-Generation Autonomous Development Ralph Zero is an intelligent orchestration system that autonomously implements complex features by breaking them into verifiable stories and executing each through fresh agent iterations with comprehensive quality verification and cognitive feedback loops. ## What Makes Ralph Zero Different Ralph Zero is **not** the original bash-based Ralph implementations. It is a complete reimagining that combines: 1. **Universal Agent Compatibility** - Works with any Agent Skills-compatible agent (Claude Code, Cursor, Copilot, Amp) 2. **Python-Based Orchestration** - Robust meta-layer with intelligent state management and context synthesis 3. **Cognitive Feedback Loops** - System learns and improves via mandatory `AGENTS.md` pattern documentation 4. **Context Synthesizer** - Universal "memory injection" that works across all agents, not just those with auto-handoff 5. **Quality-Driven Execution** - Configurable gates (typecheck, tests, browser verification) enforce standards ## When to Use Ralph Zero ✅ **Use Ralph Zero when:** - Implementing features with 3+ atomic, verifiable user stories - Working on features too complex for single agent se
- What Makes Ralph Zero Different
- When to Use Ralph Zero
- Quick Start
- 1. Installation
- 2. Create a PRD
- 3. Convert PRD to prd.json
- 4. Run Ralph Zero
- How It Works
- Architecture Overview
- Key Principles
- Sub-Skills
- Configuration
- CLI Commands
- Project Files
From your project root git clone https://github.com/davidkimai/ralph-zero.git .claude/skills/ralph-zero cd .claude/skills/ralph-zero pip install -e . git clone https://github.com/davidkimai/ralph-zero.git ~/.claude/skills/ralph-zero cd ~/.claude/skills/ralph-zero ralph-zero run --max-iterations 50 Run autonomous loop ralph-zero run [--max-iterations N] [--config PATH] Validate prd.json and configuration
What does the ralph-zero skill do?
Next-generation autonomous development orchestrator with cognitive feedback loops. Executes complex multi-step features from PRDs through iterative agent sessions with quality verification, context synthesis, and recursive learning. Use when implementing features that require multiple stories, exceed single context windows, or need autonomous execution with quality guarantees. Replaces manual iteration with intelligent orchestration.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ralph-zero --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.