deslopify
Skill5 starsChanged 11 days agoMITView on GitHub
Removes generic AI mannerisms, inflated phrasing, and repetition from prose while preserving the author's voice. Use when the user asks to deslopify or naturalize a draft.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- drinkspiller/skillstheir own version, first seen Nov 6, 2026
- kriscard/Skillstheir own version, first seen Oct 28, 2026
- tejastn10/workbenchtheir own version, first seen Oct 13, 2026
- display-design-studio/skillstheir own version, first seen Oct 6, 2026
- AdityaVasireddy/agent-skillstheir own version, first seen Sep 8, 2026
- sureshg/skillstheir own version, first seen Aug 7, 2026
Used with
Projects with it also use caveman and grill-me.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkillcaveman
Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 4 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- JuliusBrussee/skills★ 160same name
- kriscard/Skills★ 15same name
- AntonioSpagnol/UI-Deslopify-Skill★ 5same name
- AdityaVasireddy/agent-skills★ 2same name
- display-design-studio/skills★ 2same name
- shreyas-makes/agent-skills★ 2same name
- drinkspiller/skills★ 1same name
- tejastn10/workbench★ 1same name
- sureshg/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository23 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architecture-knowledge-baseSkill
- audio-transcribeSkill
- better-uiSkill
- brainstormingSkill
- broSkill
- chatgpt-imagegenSkill
- coding-standardsSkill
- decision-roomSkill
- domain-modelingSkill
- frontend-designSkill
- gemini-ttsSkill
- goalSkill
- readbackSkill
- rephraseSkill
- reply-broSkill
- setup-goalSkill
- skill-cleanerSkill
- strunk-writing-qualitySkill
- technical-writingSkill
- tech-specSkill
- tool-installSkill
- type-breakdownSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Remove mechanical writing habits without sanding away the author's personality.
- Distinctive: line 19
Read the revision for rhythm and remove any new repetition introduced during editing.
- Distinctive: line 32
Do not make every sentence short.
- Distinctive: line 34
When the source voice is unavailable, default to direct, concrete prose rather than pretending to imitate a person.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deslopify
Remove mechanical writing habits without sanding away the author's personality.
Workflow
- Identify the audience, purpose, and established voice from the draft or nearby examples.
- Read references/editing-checklist.md.
- Mark repeated habits rather than banning isolated words or constructions.
- Rewrite the smallest span that fixes each problem.
- Preserve facts, intent, level of certainty, terminology, and deliberate humor.
- Read the revision for rhythm and remove any new repetition introduced during editing.
- Return the revised text. Explain changes only when the user asks or when meaning had to change.
Editing priorities
Apply these in order:
- correctness and preserved meaning
- specificity and clear ownership of claims
- natural sentence and paragraph rhythm
- concise wording
- formatting restraint
Do not make every sentence short. Do not replace one recognizable formula with another. A slightly uneven sentence that fits the author's voice is better than polished generic copy.
When the source voice is unavailable, default to direct, concrete prose rather than pretending to imitate a person.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.