47thtechcorner

RayCodes Humanizer — AI skill for Claude Code

AI community

Humanizer Skill 3.0: Make AI Writing Sound 100% Human Locally.

How to install RayCodes Humanizer

This entry records only its repository, not the path inside it, so there is no exact command to give. Open 47thtechcorner/RayCodes_Humanizer and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What RayCodes Humanizer does

Humanizer Skill 3.0: Make AI Writing Sound 100% Human Locally! - Local AI prose humanizer skill for Ollama, Claude Code, and Skills CLI

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README

⚡ Humanizer Content Transformer Engine

Humanizer transforms dense, AI-generated technical documentation into clean, conversational developer blog posts. It strips away robotic fluff and corporate jargon while keeping all your code blocks, command lines, and links completely intact.

Step 1: Skill Install Step 2: Model Registration Step 3: Run Engine
Install Humanizer via CLI / PowerShell Register noema2b or pull llama3.2:3b Execute python main.py

🛠️ Installation & Setup

1. Skill Installation Options

Option A: Skills CLI Installation (Recommended)

npx skills add blader/humanizer --global

Option B: PowerShell Direct Skill Download

Invoke-WebRequest -Uri "https://raw.githubusercontent.com/blader/humanizer/main/SKILL.md" -OutFile "SKILL.md"

Option C: Claude Code Plugin Installation

/plugin marketplace add blader/humanizer
/plugin install humanizer@humanizer

2. Model Download & Registration Options

Option A: Noema 2B GGUF Model (Recommended)

Run this single PowerShell command to install dependencies, create the `Modelfile`, and register `noema2b` in Ollama:

pip install urllib3 ; echo "FROM hf.co/NoemaAI-labs/Noema-2B-GGUF`nPARAMETER temperature 0.7`nPARAMETER presence_penalty 1.5" > Modelfile ; ollama create noema2b -f Modelfile

Option B: Llama 3.2 3B Model

Alternatively, pull and use `llama3.2:3b` via Ollama:

ollama pull llama3.2:3b

3. Run Command

Execute the main Python engine to convert your input document:

python main.py

The transformed, human-readable blog