ai-content-humaniser
CommunityTurn AI drafts into human-ready content.
System Documentation
What problem does it solve?
AI-generated marketing drafts often lack precise brand voice, cultural localisation, and factual accuracy, resulting in content that feels impersonal or misaligned with East African audiences. The Humaniser provides a structured quality-control pass that enforces vocabulary, tone, and local relevance before client delivery across captions, blog posts, emails, strategy documents, and proposals.
Core Features & Use Cases
- Vocabulary and style enforcement to match brand voice and regional nuance.
- Cultural localisation checks tailored to Uganda and East Africa contexts.
- Factual accuracy and bias checks, with a configurable review checklist for multiple content types (captions, blogs, emails, strategies, and proposals).
- Use Case: take an AI draft and produce a locally resonant, publication-ready piece with explicit Reviewer notes.
Quick Start
Provide the AI-generated draft and brand notes to the Humaniser and run the validation pass for a ready-for-delivery piece.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-content-humaniser Download link: https://github.com/peterbamuhigire/social-media-skills/archive/main.zip#ai-content-humaniser Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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