clear-and-human

Solid

Construct, review, score, and rewrite written content so it reads like a specific human wrote it, not an AI. Use this skill whenever the user wants to: write or draft prose for humans (docs, README, runbook, ADR, PR/commit message, blog post, LinkedIn post, email, Slack message, or a spoken explainer/tutorial video script); humanize or de-slop AI-generated text; check whether writing "sounds like AI"; review a draft for AI texture; rewrite content in their own voice; score a draft for authenticity or clarity; or tighten and sharpen prose. Also trigger on "humanize", "make it sound human", "sounds like AI", "does this sound like AI", "voice check", "review my draft", "rewrite in my voice", "tighten this up", "edit for clarity", "video script", "explainer script". Auto-detects content type and applies channel-specific rules. Defaults to a neutral, factual voice and never invents specifics to add texture. For deliberately persuasive marketing copy (ads, hooks, LinkedIn/Bluesky growth posts, video titles and thum

Code & Development 8 stars 1 forks Updated today MIT

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Quality Score: 81/100

Stars 20%
32
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Clear and Human A writing skill in three layers: **construct** good prose (Strunk), **detect/score/report** AI texture (channel-aware review), and **restore** a human voice (de-slop + voice match + self-audit). Use one layer or all three depending on what the user hands you. ## Pick the mode first - **Generate** — user wants new prose ("write a runbook for X"). Run Construct, then Restore, then a light self-audit. Skip scoring unless asked. - **Review** — user pastes a draft and wants feedback ("does this sound like AI?"). Run Detect → Score → Report. Offer a rewrite. - **Rewrite** — user pastes a draft and wants it fixed ("humanize this"). Run Detect → Rewrite → Self-audit. Show the report only if useful. If unclear, default to **Review** and offer the rewrite at the end. ## Core rules (all modes, non-negotiable) 1. **Never invent specifics to add texture.** No fabricated numbers, names, quotes, dates, or citations. If a draft is vague and a concrete example would help, flag it and leave a `[ADD SPECIFIC EXAMPLE]` placeholder. Sounding human never outranks being correct — this matters most in technical docs. **A specific does not have to contain a digit.** A graded eval found both generate-mode failures were numberless, which is why they got past every check. Treat all of these as fabrication: - **A claim about state.** "Test coverage stayed the same" — invented, in a post whose context file approved exactly one fact. - **A file path, directory or filename....

Details

Author
kevin-burns
Repository
kevin-burns/claude-skills
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

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