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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!").

Sources / References

Contribution Metadata

  • Last reviewed: 2026-06-06
  • Confidence: high