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Humanize

Current Version: 1.16.0

Derived from the GAAC (GitHub-as-a-Context) project.

A Claude Code plugin that provides iterative development with independent AI review. Build with confidence through continuous feedback loops.

What is RLCR?

RLCR stands for Ralph-Loop with Codex Review, inspired by the official ralph-loop plugin and enhanced with independent Codex review. The name also reads as Reinforcement Learning with Code Review -- reflecting the iterative cycle where AI-generated code is continuously refined through external review feedback.

Core Concepts

• Iteration over Perfection -- Instead of expecting perfect output in one shot, Humanize leverages continuous feedback loops where issues are caught early and refined incrementally.
• One Build + One Review -- Claude implements, Codex independently reviews. No blind spots.
• Ralph Loop with Swarm Mode -- Iterative refinement continues until all acceptance criteria are met. Optionally parallelize with Agent Teams.
• Begin with the End in Mind -- Before the loop starts, Humanize verifies that you understand the plan you are about to execute. The human must remain the architect. (Details)

How It Works

The loop has two phases: Implementation (Claude works, Codex reviews summaries) and Code Review (Codex checks code quality with severity markers). Issues feed back into implementation until resolved.

Install

# Add PolyArch marketplace
/plugin marketplace add PolyArch/humanize
# If you want to use development branch for experimental features
/plugin marketplace add PolyArch/humanize#dev
# Then install humanize plugin
/plugin install humanize@PolyArch

Requires codex CLI for review. See the full Installation Guide for prerequisites and alternative setup options.

Quick Start

1. Generate an idea draft from a loose thought (optional — skip if you already have a draft):

   /humanize:gen-idea "add undo/redo to the editor"
   

   Output goes to .humanize/ideas/<slug>-<timestamp>.md by default. Pass a .md path to expand existing rough notes. --n controls how many parallel directions explore the idea (default 6).

2. Generate a plan from your draft:

   /humanize:gen-plan --input draft.md --output docs/plan.md
   

3. Refine an annotated plan before implementation when reviewers add comments (CMT: ... ENDCMT, <cmt> ... </cmt>, or <comment> ... </comment>):

   /humanize:refine-plan --input docs/plan.md
   

4. Run the loop:

   /humanize:start-rlcr-loop docs/plan.md
   

5. Consult Gemini for deep web research (requires Gemini CLI):

   /humanize:ask-gemini What are the latest best practices for X?
   

6. Monitor progress (in another terminal, not inside Claude Code):

   source <path/to/humanize>/scripts/humanize.sh # Or just add it into your .bashec or .zshrc
   humanize monitor rlcr       # RLCR loop
   humanize monitor skill      # All skill invocations (codex + gemini)
   humanize monitor codex      # Codex invocations only
   humanize monitor gemini     # Gemini invocations only
   

Monitor Dashboard

Documentation

• Usage Guide -- Commands, options, environment variables
• Install for Claude Code -- Full installation instructions
• Install for Codex -- Codex skill runtime setup
• Install for Kimi -- Kimi CLI skill setup
• Configuration -- Shared config hierarchy and override rules
• Bitter Lesson Workflow -- Project memory, selector routing, and delta validation

License

MIT