# humanize **Repository Path**: zechal/humanize ## Basic Information - **Project Name**: humanize - **Description**: code for humanize - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-06-19 - **Last Updated**: 2026-08-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Humanize **Current Version: 1.16.0** > Derived from the [GAAC (GitHub-as-a-Context)](https://github.com/SihaoLiu/gaac) 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](docs/usage.md#begin-with-the-end-in-mind)) ## How It Works

RLCR Workflow

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 ```bash # 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](https://github.com/openai/codex) for review. See the full [Installation Guide](docs/install-for-claude.md) 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): ```bash /humanize:gen-idea "add undo/redo to the editor" ``` Output goes to `.humanize/ideas/-.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: ```bash /humanize:gen-plan --input draft.md --output docs/plan.md ``` 3. **Refine an annotated plan** before implementation when reviewers add comments (`CMT:` ... `ENDCMT`, `` ... ``, or `` ... ``): ```bash /humanize:refine-plan --input docs/plan.md ``` 4. **Run the loop**: ```bash /humanize:start-rlcr-loop docs/plan.md ``` 5. **Consult Gemini** for deep web research (requires Gemini CLI): ```bash /humanize:ask-gemini What are the latest best practices for X? ``` 6. **Monitor progress (in another terminal, not inside Claude Code)**: ```bash source /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

Humanize Monitor

## Documentation - [Usage Guide](docs/usage.md) -- Commands, options, environment variables - [Install for Claude Code](docs/install-for-claude.md) -- Full installation instructions - [Install for Codex](docs/install-for-codex.md) -- Codex skill runtime setup - [Install for Kimi](docs/install-for-kimi.md) -- Kimi CLI skill setup - [Configuration](docs/usage.md#configuration) -- Shared config hierarchy and override rules - [Bitter Lesson Workflow](docs/bitlesson.md) -- Project memory, selector routing, and delta validation ## License MIT