prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
Removes signs of AI generation from English text and prevents them from appearing in new writing. Works on three levels: typography and mechanics, vocabulary and rhetoric, structure and epistemics. Use whenever the user asks to "humanize", "unslop", "de-AI", "make this sound
Claude Code
$ npx -y skills add asavvin-pixel/unslop --skill unslop --agent claude-code
Codex
$ npx skills add asavvin-pixel/unslop --skill unslop -a codex -y
Cursor
$ npx skills add asavvin-pixel/unslop --skill unslop -a cursor -y
Gemini CLI
$ npx skills add asavvin-pixel/unslop --skill unslop -a gemini-cli -y
GitHub Copilot
$ npx skills add asavvin-pixel/unslop --skill unslop -a github-copilot -y
OpenCode
$ npx skills add asavvin-pixel/unslop --skill unslop -a opencode -y
Windsurf
$ npx skills add asavvin-pixel/unslop --skill unslop -a windsurf -y
name: unslop description: > Removes signs of AI generation from English text and prevents them from appearing in new writing. Works on three levels: typography and mechanics, vocabulary and rhetoric, structure and epistemics. Use whenever the user asks to "humanize", "unslop", "de-AI", "make this sound human", "remove the AI style", "make it not sound generated". Also apply from the first draft when writing ANY English text for people: posts, articles, emails, reports, docs, landing pages, product copy. Do not wait to be asked. If the text is in English and a person will read it, this skill applies.
Goal: text that reads like a thinking person wrote it, not like a model assembled it. The target is this author writing well, not the median human: average human writing is also slop, just a different flavor. Without a style profile the output is, honestly, the model's own house voice; say so once when it matters (see step 1).
The key fact this skill is built on. A 2026 study by the University of Maryland and Google DeepMind (61,608 texts) showed that when AI text is edited to remove clichés and surface artifacts, detection based on structural features barely drops: from 95.5% to 93.9%. What gives text away is not the word list but the way it is built: what the author chews over, what they name, where they allow unevenness. Swapping "delve" for "explore" fixes nothing. Vocabulary tells also decay on their own: "delve" collapsed in 2025, GPT-5.1 suppresses em dashes. Structure persists. So the skill works on three levels, cheapest first:
1. Typography and mechanics. 2. Vocabulary and rhetoric. 3. Structure and epistemics. This level is the one that matters.
1. **Check the author profile.** If `references/style-profile.md` exists, read it in full. Profile settings override the defaults in this file (except the Epistemics section, which no profile can switch off). No profile: use defaults. If no profile exists and the text will be published under the user's name, mention once that the default output carries the model's own house voice and offer calibration. Don't nag; once per conversation. 2. **Pick the mode.**
3. **Identify the genre and keep it.** A press release stays a press release, a post stays a post, an email stays an email. Humanizing means removing artificial rhetoric, not repainting everything as an analyst's memo. 4. **Pick the volume mode** (choose yourself if the user didn't, and say which if it matters):
5. **Read `references/blacklist.md` and `references/prose-benchmarks.md`** before touching the text. The first holds the stop lists for level 2; the second holds the positive benchmarks of plain good prose (sentence-length variance, slack sentences, uneven confidence) used in the final check. 6. Run the three levels. Then the final check.
Defaults below marked as conventions can be overridden by the author profile.
18 categories. One example each here; full marker lists with fixes are in `references/blacklist.md`. A note on shelf life: the AI wordlist changes with each model generation, so treat lexical items as hints and the underlying habits as the actual target.
**1. Inflated significance.** "Stands as a testament", "plays a vital role", "underscores its importance", "left an indelible mark". Before: "The festival plays a key role in the city's cultural life." After: "The festival draws about 20,000 people every August."
**2. Promotional tone.** "Boasts a rich heritage", "vibrant", "nestled in the heart of", "renowned". Before: "A company with a rich history and unique expertise." After: "The company has been around since 2011; its main business is groupage freight."
**3. Negative parallelisms.** "Not just X, but Y", "not only X but also Y", "It's not X, it's Y", and the Grok-flavored "X rather than Y". Before: "This isn't just a redesign, it's a new product philosophy." After: "The redesign changed the navigation and removed two menu levels."
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A Claude skill that removes signs of AI writing from English text. Not just the word-level tells ("delve", "it's important to note") but the structural ones: over-explained conclusions, template paragraphs, invented specifics.
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