codex/skills/de-slopify/SKILL.md
Remove telltale signs of AI-generated "slop" writing from documentation. Use when polishing README files, API docs, or any public-facing text to sound authentically human.
npx skillsauth add tkersey/dotfiles de-slopifyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Core Insight: You can't do this with regex or a script. It requires manual, systematic review of each line.
I want you to read through the complete text carefully and look for any telltale
signs of "AI slop" style writing; one big tell is the use of emdash. You should
try to replace this with a semicolon, a comma, or just recast the sentence
accordingly so it sounds good while avoiding emdash.
Also, you want to avoid certain telltale writing tropes, like sentences of the
form "It's not [just] XYZ, it's ABC" or "Here's why" or "Here's why it matters:".
Basically, anything that sounds like the kind of thing an LLM would write
disproportionately more commonly than a human writer and which sounds
inauthentic/cringe.
And you can't do this sort of thing using regex or a script, you MUST manually
read each line of the text and revise it manually in a systematic, methodical,
diligent way. Use ultrathink.
Review this text and remove any AI slop patterns: excessive emdashes, "Here's why"
constructions, "It's not X, it's Y" formulas, and other LLM writing tells. Recast
sentences to sound more naturally human. Use ultrathink.
| Pattern | Problem | |---------|---------| | Emdash overuse | LLMs love emdashes—they use them constantly—even when other punctuation works better | | "It's not X, it's Y" | Formulaic contrast structure | | "Here's why" | Clickbait-style lead-in | | "Let's dive in" | Forced enthusiasm | | "At its core..." | Pseudo-profound opener | | "It's worth noting..." | Unnecessary hedge |
| Original | Alternative |
|----------|-------------|
| X—Y—Z | X; Y; Z or X, Y, Z |
| The tool—which is powerful—works | The tool, which is powerful, works |
| We built this—and it works | We built this, and it works |
Sometimes the best fix is to split into two sentences.
Before:
This tool—which we built from scratch—handles everything automatically—from parsing to output.
After:
This tool handles everything automatically, from parsing to output. We built it from scratch.
Before:
We chose Rust for this component. Here's why: performance matters.
After:
We chose Rust for this component because performance matters.
Before:
It's not just a linter—it's a complete code quality system.
After:
This complete code quality system goes beyond basic linting.
Before:
# Getting Started
Let's dive in! We're excited to help you get up and running.
After:
# Getting Started
Install the tool and run your first command in under a minute.
| Topic | Reference | |-------|-----------| | Complete phrase list | PATTERNS.md |
tools
Convert markdown plans into beads with dependencies using br CLI. Use when creating task graphs, polishing beads before implementation, or bridging planning to agent swarm execution.
development
Orchestrate Codex skill optimization during active sessions through $cas goal control, $shadow single-session evidence, $tune diagnosis/refinement briefs, and the skill-optimizer custom subagent. Trigger for $opt, skill optimization loops, session-driven skill tuning, meta-skill audits, or explicit validated skill edits. Do not use for general code optimization, product optimization, or performance tuning.
development
Run a targeted fresh-eyes blunder pass over code, specs, plans, adjudications, closure gates, skill edits, or negative-evidence ledgers. Trigger when asked to reread with fresh eyes, find obvious bugs, catch mistakes/oversights/omissions, check for embarrassing misses, or perform a second independent blunder pass before closure. Do not use as a substitute for implementation, adjudication, or verification; use it as the final falsification/check pass for those workflows.
development
Explicitly shadow, tail, watch, follow, monitor, supervise, or companion exactly one Codex session id/path through `$seq`, then apply a named target skill as an interpretation/reporting/proposal/action lens until the watched session stops.