ralph-evolver
Recursive self-improvement engine. Think from first principles, let insights emerge.
Best use case
ralph-evolver is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Recursive self-improvement engine. Think from first principles, let insights emerge.
Teams using ralph-evolver should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ralph-evolver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ralph-evolver Compares
| Feature / Agent | ralph-evolver | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Recursive self-improvement engine. Think from first principles, let insights emerge.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 🧬 Ralph-Evolver **Philosophy: Recursion + Emergence + First Principles** ## Signal Sources Collects multi-dimensional context, not just code structure: - **Commit history** - Understand the "why" behind changes - **TODO/FIXME** - Distress signals in the code - **Error handling patterns** - Find fragile points - **Hotspot files** - Frequent changes = design problems Each signal includes a **hypothesis prompt** to guide deeper analysis. ## First Principles Each run doesn't execute a checklist, but asks: 1. What is the **essence** of this project? 2. What is it doing that it **shouldn't**? 3. What is it **missing** that it should have? 4. If you **started from scratch**, how would you build it? ## Meta-Reflection (v1.0.5) When analyzing itself, evolver asks: - Is this a **surface fix** or **evolution-level** improvement? - What **pattern** exists in improvement history? - Will this change make evolver **better at finding problems**? ## Improvement Tracking - Records description, insight, **level** (surface/evolution), and health metrics - **Pattern analysis**: counts surface/evolution ratio, finds recurring themes - Compares before/after effect trends (improved/degraded/unchanged) ## Usage ```bash node index.js . # Current directory (positional) node index.js /path/to/app # Specify path node index.js . --loop 5 # Run 5 cycles node index.js --task "fix auth" # Specific task node index.js --reset # Reset iteration state ``` ## Recursion The improver can improve itself. This is true recursion. --- *"Form hypotheses, then verify. Think from first principles."*
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