Humanizer¶
What it is¶
Humanizer is a core community skill for Claude Code and OpenCode focused on removing robotic "AI-isms" and making AI-generated output feel more natural and human-readable.
What problem it solves¶
It addresses the common issue of AI output sounding overly mechanical, generic, or obviously templated. It is the de facto standard for "de-botting" agentic outputs before they are shared with humans.
Where it fits in the stack¶
Development & Ops / Output Refinement. It sits at the Interaction Layer, transforming the "raw" reasoning of an LLM into human-centric communication.
Typical use cases¶
- Copy Polish: Improving generated marketing copy or blog posts before publication.
- Agentic Communication: Post-processing drafts from coding or writing agents to ensure they match a team's voice.
- Voice Matching: Calibrating an AI to write exactly like a specific human user based on writing samples.
Strengths¶
- Native Claude Code Integration: Works as a simple slash command (
/humanizer) inside the terminal. - Pattern-Based Auditing: Derived from the Wikipedia Signs of AI writing guide.
- Voice Calibration: Supports "soul injection" by matching sentence rhythm and rhythm from user-provided samples.
- Privacy-First: Operates entirely locally within the agent's context; no external API calls for the humanization logic itself.
Limitations¶
- Subjectivity: "Human-like" writing is inherently subjective and varies by domain.
- Model Dependent: Success depends on the underlying model's ability to handle the "soul injection" step (Claude 3.5 Sonnet and newer are recommended).
When to use it¶
- When generated output needs a natural, non-robotic tone for human consumption.
- When you want to maintain a consistent personal or brand voice across agentic outputs.
When not to use it¶
- In technical documentation where standard "AI-like" clarity (bolded headers, bulleted lists) is actually preferred.
- When factual accuracy is the primary bottleneck; humanization does not fix underlying hallucinations.
Getting started¶
Installation¶
Humanizer is distributed as a Markdown-based skill (SKILL.md). Install it by cloning into your agent's skills directory:
Claude Code
mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer
OpenCode
mkdir -p ~/.config/opencode/skills
git clone https://github.com/blader/humanizer.git ~/.config/opencode/skills/humanizer
CLI examples¶
The skill is invoked using the /humanizer slash command.
Basic Humanization¶
/humanizer "This model marks a pivotal moment in the evolution of AI."
Voice Calibration¶
Provide a sample of your own writing for the agent to match:
/humanizer
[Paste 2-3 paragraphs of your own writing]
Now humanize:
[Paste AI text]
How it works¶
Humanizer audits text against 25+ patterns of "AI-isms" and performs a multi-pass rewrite: - Significance Inflation: Removing phrases like "marking a pivotal moment" or "testament to." - Formulaic Structure: Breaking up repetitive "Not only X, but also Y" sentence patterns. - AI Vocabulary: Replacing overused words like "delve," "landscape," "showcasing," and "additionally." - Chatbot Artifacts: Removing sycophantic pleasantries ("I hope this helps!").
Related tools / concepts¶
Sources / References¶
Contribution Metadata¶
- Last reviewed: 2026-06-06
- Confidence: high