Installation
npx skills add oakoss/agent-skills --skill de-slopify 42
Installs
De-Slopify
Overview
De-slopify is a methodology for removing telltale signs of AI-generated content from documentation, prose, and code. LLMs produce statistically regular output with characteristic vocabulary, punctuation habits, and structural patterns that make text and code feel inauthentic. Some patterns appear over 1,000x more frequently in LLM output than human writing.
When to use: Before publishing READMEs, after AI-assisted writing sessions, during documentation reviews, when reviewing AI-generated code for over-engineering, before committing prose or code that an LLM touched.
When NOT to use: On code logic or algorithms where correctness matters more than style. On technical specifications where precision outweighs voice. On content that was already human-written and reads naturally.
Quick Reference
| Category | Pattern | Fix |
|---|---|---|
| Punctuation | Emdash overuse | Semicolons, commas, colons, or split into two sentences |
| Phrase | "Here's why" / "Here's why it matters" | Explain why directly without the lead-in |
| Phrase | "It's not X, it's Y" | "This is Y" or restate the distinction |
| Phrase | "Let's dive in" / "Let's get started" | Delete; just start the content |
| Phrase | "It's worth noting" / "Keep in mind" | Delete the hedge; state the fact |
| Phrase | "At its core" / "In essence" / "Fundamentally" | Delete; say the thing directly |
| Vocabulary | "delve", "tapestry", "landscape", "nuanced" | Replace with plain, specific language |
| Vocabulary | "revolutionize", "cutting-edge", "game-changer" | Replace with concrete claims or delete |
| Structure | Uniform sentence length throughout | Mix short (5-word) and long (20+ word) sentences |
| Structure | Perfectly balanced lists of exactly 3 items | Vary list length; humans use 2, 4, or odd counts |
| Structure | Generic claims without specifics | Add names, dates, numbers, or first-person detail |
| Sycophancy | "Great question!" / "Absolutely!" | Delete; answer the question directly |
| Meta | "Let me break this down..." / "Let me explain" | Delete the preamble; just break it down |
| Structure | Numbered lists where a sentence suffices | Use a sentence; reserve lists for genuinely parallel items |
| Closer | "In conclusion" / "To summarize" | Delete or replace with a specific takeaway |
| Code | Over-commented trivial functions | Remove comments that restate the code |
| Code | Unnecessary abstractions and design patterns | Flatten to the simplest working solution |
| Code | Verbose or overly descriptive variable names | Use domain-appropriate concise names |
| Code | Defensive error handling on every operation | Handle errors only where failure is realistic |
Common Mistakes
| Mistake | Correct Pattern |
|---|---|
| Replacing every emdash mechanically | Evaluate context; sometimes an emdash is the right choice |
| Editing code blocks for style | Focus on prose; leave code examples and technical syntax untouched |
| Removing all structure to sound casual | Keep headers, tables, and lists intact; rewrite prose only |
| Over-correcting into choppy fragments | Read aloud after editing; recombine sentences that lost flow |
| Applying fixes without defining target voice | Set persona, tone, and audience before starting edits |
| Running regex replacements instead of reading | Manual line-by-line review is required; context determines fixes |
| Ignoring AI code smells | Review AI-generated code for over-engineering, verbose names, and unnecessary abstractions |
| Removing all LLM-typical words unconditionally | Some flagged words are perfectly natural in context; use judgment |
Delegation
- Scan a repository for documentation files that need de-slopifying: Use
Exploreagent - Rewrite an entire documentation site to remove AI artifacts: Use
Taskagent - Plan a documentation voice guide and editorial workflow: Use
Planagent - Review AI-generated code for slop patterns: Use
code-revieweragent
For systematic quality auditing across 12 dimensions (architecture, security, testing, performance, etc.), use the
quality-auditorskill.
References
- Prose patterns: emdash alternatives, phrase replacements, and voice calibration
- Before-and-after examples of common AI writing fixes
- AI slop vocabulary: words and phrases that signal LLM authorship
- Code slop: detecting and fixing AI-generated code smells
- Review workflow: prompts, checklists, and integration
Installs
Security Audit
View Source
oakoss/agent-skills
More from this source
EU-Hosted Inference API Power your AI Agents with
the best open-source models.
Drop-in OpenAI-compatible API. No data leaves Europe.
Explore Inference APIGLM
GLM 5
$1.00 / $3.20
per M tokens
Kimi
Kimi K2.5
$0.60 / $2.80
per M tokens
MiniMax
MiniMax M2.5
$0.30 / $1.20
per M tokens
Qwen
Qwen3.5 122B
$0.40 / $3.00
per M tokens
How to use this skill
Install de-slopify by running npx skills add oakoss/agent-skills --skill de-slopify in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of de-slopify, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
Made in Europe Chat with 100+ AI Models in one App.
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.
