Agent Skills › kinncj/Heimdall › humanizer

humanizer

GitHub

用于消除文本中AI生成的痕迹和模式，使文档、注释、提交信息更自然。支持手动调用或集成MAPLE工作流，通过检测29种AI写作特征并进行多轮重写优化，提升内容的人类化程度。

.claude/skills/humanizer/SKILL.md kinncj/Heimdall

Trigger Scenarios

生成文档后需要润色提交代码前检查提交信息和注释更新README或CHANGELOG 将AI辅助生成的文本调整为更自然的语气

Install

npx skills add kinncj/Heimdall --skill humanizer -g -y

More Options

Non-standard path

npx skills add https://github.com/kinncj/Heimdall/tree/main/.claude/skills/humanizer -g -y

Use without installing

npx skills use kinncj/Heimdall@humanizer

指定 Agent (Claude Code)

npx skills add kinncj/Heimdall --skill humanizer -a claude-code -g -y

安装 repo 全部 skill

npx skills add kinncj/Heimdall --all -g -y

预览 repo 内 skill

npx skills add kinncj/Heimdall --list

SKILL.md

Frontmatter

{
    "name": "humanizer",
    "description": "Remove 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."
}

humanizer skill

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 @docs generates 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: true in 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

humanizer

humanizer

Trigger Scenarios

Install

SKILL.md

humanizer skill

When to use

How to invoke

Voice calibration (optional)

What it detects

Integration with MAPLE

Output

Further reading

Version History

Same Skill Collection

Metadata

文库