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.
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See how to installReview the instructions the agent will receive before you install.
Polish text by removing detectable AI-generated writing patterns. Ideal for finalizing documentation, commit messages, comments, and any prose before merging.
@docs generates feature documentation/humanizer
[paste your text here]
Or ask directly in chat:
Please humanize this text: [your text]
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]
The skill checks for 29 AI-writing patterns, including:
humanize: true in feature story frontmatterReturns a humanized version of your text with:
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Run WCAG 2.2 Level AA accessibility audits against generated UI. Use when a story has ui:true or when asked to audit accessibility.
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Generate a complete component file tree wired to design tokens with tests and Gherkin spec. Use when scaffolding a new UI component.
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Extract Gherkin scenarios from story markdown files into runnable .feature files and generate step definition stubs. Use when syncing stories to test suites.
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Read and write design tokens in W3C DTCG format (tokens.json) and emit CSS, Tailwind, and Mantine outputs. Use when modifying or generating design tokens.
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Apply Docker and Docker Compose best practices for containerising services. Use when writing or reviewing Dockerfiles and compose configs.
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Identify and annotate cloud cost implications of architectural decisions. Use when reviewing infrastructure changes or designing new services.
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