humaniser

Rewrites text to remove AI-writing patterns and restore natural human voice.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/MilUX-Ltd/footing --skill humaniser-milux-ltd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: humaniser
Source: https://github.com/MilUX-Ltd/footing/tree/main/footing/template/Skills/content-skills/humaniser
Command: npx skills add https://github.com/MilUX-Ltd/footing --skill humaniser-milux-ltd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-generated drafts carry recognizable tells — em dashes, rule-of-three structures, promotional adjectives, vague attributions — that make public-facing content read as machine-written and erode audience trust. This Skill scans text against 24 documented patterns from Wikipedia's "Signs of AI writing" guide and rewrites it to sound authentically human while preserving meaning. ## Core Features & Use Cases - 24-pattern detection: Scans for AI vocabulary, copula avoidance, negative parallelisms, inline-header bold lists, title-case headings, curly quotes, emojis, sycophantic phrases, hedging, and filler. - Voice injection: Goes beyond removal — adds opinions, varied sentence rhythm, first-person perspective, and specific details so the text has personality rather than sterile neutrality. - Brand alignment: Cross-checks output against Context/Brand.md for organisation-specific tone, language standard, and sector rules. - Use Case: Before publishing a LinkedIn post or client proposal drafted with AI assistance, run this pass to strip AI cadence, then receive the rewritten text plus a summary of which patterns were found and fixed. ## Quick Start Humanise this draft newsletter copy and remove any signs of AI-generated writing before I publish it.

Frequently Asked Questions about humaniser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make AI-generated text sound more human?▼

Scan the text for known AI-writing patterns such as em dashes, rule-of-three structures, promotional adjectives, and vague attributions, then rewrite those sections with natural alternatives. This Skill checks 24 patterns from Wikipedia's Signs of AI writing guide and returns revised text plus a change summary.

What are the most common signs of AI writing to remove?▼

The highest-frequency tells are overused AI vocabulary (delve, crucial, tapestry, underscore), em-dash overuse, inline-header bold lists, negative parallelisms like "not just X but Y", and generic positive conclusions. The Skill covers 24 patterns across content, grammar, style, and tone.

Does humanising text change its meaning or tone?▼

No. The rewrite preserves the core message and matches the organisation's intended tone by reading brand voice rules from Context/Brand.md. It strips AI cadence and adds personality without altering the substance of the content.

When should I run an AI-writing cleanup pass on content?▼

Run it before any content reaches an external audience: LinkedIn posts, newsletters, web copy, press releases, proposals, and case studies. For internal notes and working documents the pass is optional, though applying it is rarely wrong.

Can humanised text still be detected as AI-written?▼

Removing surface patterns reduces obvious tells, but no rewrite guarantees evasion of all detectors. The Skill focuses on genuine quality — varied rhythm, specific details, real opinions — rather than gaming detection tools, which produces more durable results.