SkillAgentSearch skills...

Humanize

LLM IS AS GOOD AS YOU ARE

Install / Use

/learn @humania-org/Humanize
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Humanize

Current Version: 1.15.1

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

<p align="center"> <img src="docs/images/rlcr-workflow.svg" alt="RLCR Workflow" width="680"/> </p>

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

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

Quick Start

  1. Generate a plan from your draft:

    /humanize:gen-plan --input draft.md --output docs/plan.md
    
  2. Refine an annotated plan before implementation when reviewers add CMT: ... ENDCMT comments:

    /humanize:refine-plan --input docs/plan.md
    
  3. Run the loop:

    /humanize:start-rlcr-loop docs/plan.md
    
  4. Monitor progress:

    source <path/to/humanize>/scripts/humanize.sh
    humanize monitor rlcr
    

Monitor Dashboard

<p align="center"> <img src="docs/images/monitor.png" alt="Humanize Monitor" width="680"/> </p>

Documentation

License

MIT

Related Skills

View on GitHub
GitHub Stars353
CategoryDevelopment
Updated10h ago
Forks24

Languages

Shell

Security Score

85/100

Audited on Apr 1, 2026

No findings