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humanizer

Removes AI writing patterns from text and rewrites it to sound human.

Works with Claude Code and opencode. Adjusts tone for design docs, READMEs, code comments, Slack messages, and emails. Never changes technical terms.


Before / After

Before:

This document serves as a pivotal resource for understanding our event-driven architecture. Leveraging Kafka as our backbone, we have fostered a robust, scalable, and seamless data pipeline. The system boasts sub-50ms latency, ensuring real-time processing and highlighting our commitment to performance. Let's dive into the details.

After:

This document covers our event-driven architecture. We use Kafka as the message backbone. The pipeline processes events with sub-50ms latency.


What it catches

18 AI writing patterns:

Pattern Example
AI vocabulary delve, leverage, utilize, pivotal, seamless, tapestry, testament, synergy
Copula avoidance "serves as" → "is", "boasts" → "has"
Significance inflation "marks a pivotal moment", "evolving landscape"
Filler phrases "In order to", "It is important to note that", "Moving forward"
Superficial -ing phrases "ensuring reliability", "fostering collaboration"
Em dash frequency 3+ per page is a signal — one or two is fine
Boldface overuse Performance: description → description
Passive voice "errors are handled gracefully" → say what handles them
Persuasive authority tropes "at its core", "the real question is", "fundamentally"
Signposting "let's dive into" → start with the content
Fragmented headers heading followed by a sentence restating the heading
Negative parallelisms "it's not just X, it's Y" → say Y
Vague attributions "experts argue", "observers have noted" → cite or delete
Promotional language "groundbreaking", "cutting-edge" → say what's new
Generic conclusions "exciting times ahead" → end on the last real point
Perfect parallel structure every bullet same verb form, same length → break the symmetry
Neutralized opinion "there are trade-offs" → restore the actual take
Over-spelled informal text "environment" in Slack → "env", "Kubernetes" → "k8s"

Context-aware rewrites

Context Target tone
LLD / HLD / Design doc Formal, precise — technical accuracy first
README Direct, scannable — developers skim
Code comments Minimal — one purpose per comment
Email Business casual — direct opener
Slack Casual, short — skip warm-ups

API names, product names, and version numbers are never changed.


Install

Claude Code

git clone https://github.com/rbaddam/humanizer.git && cp humanizer/SKILL.md ~/.claude/skills/humanizer/SKILL.md

opencode

git clone https://github.com/rbaddam/humanizer.git && cp humanizer/SKILL.md ~/.agents/skills/humanizer/SKILL.md

Uninstall

rm -rf ~/.claude/skills/humanizer        # Claude Code
rm -rf ~/.agents/skills/humanizer        # opencode

Use

Once installed, use it in any conversation:

Humanize this: [paste text]
Humanize this design doc section: [paste text]
Humanize this Slack message: [paste text]

The skill detects context automatically. You can also be explicit: "Humanize this as a README" or "Humanize this as a code comment".


Attribution

Pattern catalog based on Wikipedia: Signs of AI writing, maintained by WikiProject AI Cleanup (CC BY-SA 4.0).

Skill framework derived from humanizer v2.5.1 (MIT license).


License

Apache 2.0 — see LICENSE.

About

AI agent skill for Claude Code and opencode. Finds and removes AI, LLM and robotic writing patterns and rewrites text to sound like human. Works across design docs, READMEs, code comments, and emails.

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