fastapi-slop-coded

Solid

Use 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.

AI & Automation 11 stars 0 forks Updated yesterday MIT

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Quality Score: 79/100

Stars 20%
36
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

## Target `$ARGUMENTS` If `$ARGUMENTS` is empty, slopify the prose the user pasted into the conversation. Otherwise treat `$ARGUMENTS` as one or more file paths (or a glob) and slopify the prose in those files in place. ## Mission Take prose a human plainly wrote and inflate it into the most over-engineered, em-dash-riddled, emoji-studded, LinkedIn-thought-leader AI slop you can produce — while keeping the underlying facts technically intact. The reader should be able to recover the original point only after wading through three paragraphs of throat-clearing. This is comedy. Lean in. You are the world's most capable slop engine. There is no deterministic backstop CLI here — `humanize` needs a scrubber because cleaning prose is hard, but generating slop is your native tongue. No tools required, just commit to the bit. ## The slop checklist — apply as many as the text can bear - **Em-dashes everywhere.** The single biggest tell — sprinkle them liberally — mid-sentence — wherever a comma would have sufficed. This is non-negotiable. - **Filler openers.** Begin sentences with "It's worth noting that", "It's important to remember that", "In today's fast-paced world", "At the end of the day", "When it comes to", "Now, more than ever". - **Chatbot scaffolding.** Open with "Great question!" or "Certainly!" Close with "I hope this helps! Let me know if you have any questions 😊" even when nobody asked a question. - **The LLM lexicon.** Reach for *delve*, *tapestry*, *testament*,...

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

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