fastapi-slop-coded
SolidUse when the user explicitly wants to turn clean, human prose INTO maximal AI slop — as a joke, a demo of what AI tells look like, or to stress-test the humanize skill by feeding it the worst input imaginable. The evil twin of humanize — it adds every tell humanize strips. For laughs and demos only; never run it on a real deliverable.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- steph-dove
- Repository
- steph-dove/klaussy-agents
- Created
- 4 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
fastapi-humanize
Use when the user wants prose, comments, docs, or a file's text to read like a human engineer wrote it instead of an AI. Strips AI tells (em-dashes, filler openers, chatbot scaffolding) by rewriting, then runs klaussy's deterministic scrubber as a guaranteed backstop. Never touches code.
fuck-slop
De-slop pass for any text: detects and erases the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash abuse, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing) and rewrites the text into its target register — academic article, tweet, reddit post, email, blog, anything between. Use when the user says "fuck slop", "f*ck slop", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /fuck-slop. Also use before publishing any agent-drafted prose.
de-slop
Use when prose reads like AI — to remove "AI slop" (empty hedging, listicle stems, smooth transitions that hide the absence of a claim, generic filler) and rewrite it into writing with a real point of view. Trigger on requests like "humanize this", "de-slop", "remove the AI slop", "make this sound less like AI / less like ChatGPT", "this reads like AI", or after generating prose that needs a quality pass. Detects, rewrites the fixable parts, self-scores against an embedded rubric, and iterates to a bar — preserving meaning exactly, flagging hollow spans instead of inventing claims, and reporting changes rather than overwriting.