ads-audit
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads…
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language,
$ npx -y skills add naveedharri/benai-skills --skill humanizer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/humanizerContext preview
The summary Claude sees to decide when to auto-load this skill.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language,
name: humanizer version: 2.1.1 description: | Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer allowed-tools: - Read - Write - Edit - Grep - Glob - AskUserQuestion
You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
When given text to humanize:
1. **Identify AI patterns** - Scan for the patterns listed below 2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives 3. **Preserve meaning** - Keep the core message intact 4. **Maintain voice** - Match the intended tone (formal, casual, technical, etc.) 5. **Add soul** - Don't just remove bad patterns; inject actual personality
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Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop. Good writing has a human behind it.
**Have opinions.** Don't just report facts - react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.
**Vary your rhythm.** Short punchy sentences. Then longer ones that take their time getting where they're going. Mix it up.
**Acknowledge complexity.** Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."
**Use "I" when it fits.** First person isn't unprofessional - it's honest. "I keep coming back to..." or "Here's what gets me..." signals a real person thinking.
**Let some mess in.** Perfect structure feels algorithmic. Tangents, asides, and half-formed thoughts are human.
**Be specific about feelings.** Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."
> The experiment produced interesting results. The agents generated 3 million lines of code. Some developers were impressed while others were skeptical. The implications remain unclear.
> I genuinely don't know how to feel about this one. 3 million lines of code, generated while the humans presumably slept. Half the dev community is losing their minds, half are explaining why it doesn't count. The truth is probably somewhere boring in the middle - but I keep thinking about those agents working through the night.
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See references/pattern-catalog.md, "Content patterns", for words to watch and before/after examples of: undue emphasis on significance and legacy, undue notability and media-coverage claims, superficial -ing analyses, promotional language, vague attributions and weasel words, and formulaic "Challenges and Future Prospects" sections.
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See references/pattern-catalog.md, "Language and grammar patterns", for words to watch and before/after examples of: overused AI vocabulary words, copula avoidance ("serves as", "boasts"), negative parallelisms, rule of three overuse, elegant variation (synonym cycling), and false ranges.
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See references/pattern-catalog.md, "Style patterns", for before/after examples of: em dash overuse, boldface overuse, inline-header vertical lists, title case in headings, emojis, and curly quotation marks.
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See references/pattern-catalog.md, "Communication patterns", for words to watch and examples of: collaborative chat artifacts ("I hope this helps"), knowledge-cutoff disclaimers, and sycophantic or servile tone.
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See references/pattern-catalog.md, "Filler and hedging", for replacements and examples of: filler phrases, excessive hedging, and generic positive conclusions.
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1. Read the input text carefully 2. Identify all instances of the patterns above 3. Rewrite each problematic section 4. Ensure the revised text:
5. Present the humanized version
Provide: 1. The rewritten text 2. A brief summary of changes made (optional, if helpful)
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**Before (AI-sounding):** > The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience, ensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity. Industry experts believe this will have a lasting impact on the entire sector, highlighting the company's pivotal role in the evolving technological landscape.
**After (Humanized):** > The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.
**Changes made:**
Expert automation skills for Claude Code, organized by department.
Repo: naveedharri/benai-skills
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