humanizer skill
SkillDocs & knowledgeRemove AI-isms and artificial language patterns from text. Makes documentation, comments, commit messages, and prose sound more natural and human. Based on Wikipedia's "Signs of AI writing" patterns.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the humanizer skill skill
What this skill tells your AI
The instructions your AI receives, as published by kinncj/heimdall in .claude/skills/humanizer/SKILL.md and read by ahel’s review.
Polish text by removing detectable AI-generated writing patterns. Ideal for finalizing documentation, commit messages, comments, and any prose before merging.
When to use
- After
@docsgenerates feature documentation - Before committing code (check commit messages and comments)
- Polishing README updates, CHANGELOG entries, or runbooks
- Making AI-assisted prose sound more natural
- Manual voice calibration for brand consistency
How to invoke
/humanizer
[paste your text here]
Or ask directly in chat:
Please humanize this text: [your text]
Voice calibration (optional)
Provide a sample of your own writing for the skill to match your style:
/humanizer
Here's a sample of my writing for voice matching:
[paste 2-3 paragraphs of your own writing]
Now humanize this text:
[paste AI text to humanize]
What it detects
The skill checks for 29 AI-writing patterns, including:
- Significance inflation — "marking a pivotal moment in the evolution of..." → "was established in 1989"
- Notability name-dropping — Lists of citations → specific examples with context
- Superficial -ing phrases — "symbolizing, reflecting, showcasing" → active explanations
- Promotional language — Corporate jargon → straightforward description
- Overuse of 'indeed' — Filler words → tighter prose
- Transition abuse — Excessive "Furthermore, In conclusion..." → natural flow
- Hedging redundancy — "arguably, in some sense, it could be argued..." → clarity
- Rare word stacking — Thesaurus abuse → common vocabulary
- False expert mode — Generic expertise → grounded examples
- Generalist fluff — "many fields, various domains..." → specific scope
Integration with MAPLE
- Auto-call after Phase 7 (DOCUMENT) if
humanize: truein feature story frontmatter - Manual: invoke at any phase before merge
- Works across all harnesses (Claude Code, OpenCode, Cursor, Copilot CLI)
Output
Returns a humanized version of your text with:
- First pass: Remove identified AI patterns
- Final audit: "Obviously AI generated?" check
- Second rewrite: Catch lingering AI-isms
Further reading
Signals
- GitHub stars
- 66
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
humanizer-kinncj- Source
- github.com/kinncj/heimdall