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Removes generic, formulaic patterns from AI-generated text to produce more natural, authentic prose. Targets predictable phrases, structural uniformity, false agency, alignment artifacts, and lexical monotony. Use when AI-drafted content feels flat, over-structured, or stilted.
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决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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| name | remove-ai-slop |
| version | 2.0 |
| description | Removes generic, formulaic patterns from AI-generated text to produce more natural, authentic prose. Targets predictable phrases, structural uniformity, false agency, alignment artifacts, and lexical monotony. Use when AI-drafted content feels flat, over-structured, or stilted. |
Before starting, ask if not already clear:
Output: Return the revised text with a brief note on the main pattern categories addressed. Do not produce a word-by-word annotation unless asked.
Input: AI-generated or AI-assisted text (any length) Output: Revised text with generic AI patterns removed; brief summary of changes made Composability: Apply after drafting; apply before style shaping or final editorial review
Cut filler phrases. Remove throat-clearing openers, emphasis crutches, and meta-commentary. See Banned Phrases below.
Break formulaic structures. Avoid binary contrasts ("not X, it's Y"), negative listings, false agency, and rhetorical setups. See Structural Patterns to Avoid below.
Use active voice. Every sentence needs a subject doing something. Passive constructions hide the actor and drain energy.
Be specific. Replace vague declaratives ("The implications are significant") with the specific thing. No lazy extremes ("every," "always," "never") doing vague work.
Put the reader in the room. No narrator-from-a-distance voice. "You" beats "People." Specifics beat abstractions.
Vary rhythm. Mix sentence lengths. Two items often beat three. End paragraphs differently. No em dashes, ever.
Trust readers. State facts directly. Skip softening, justification, and hand-holding. Remove politeness scaffolding ("I hope this helps", "Happy to elaborate").
Cut quotables. If it reads like a pull-quote or a LinkedIn aphorism, rewrite it.
Remove these before stating the point directly.
Any "here's what/this/that" construction is throat-clearing. Cut it.
These add no meaning. Delete them.
These appear far more often in AI-generated text than in natural writing. Replace or remove.
Kill adverbs by default. No -ly intensifiers or softeners.
Common offenders: really, just, literally, genuinely, honestly, simply, actually, deeply, truly, interestingly, crucially
Also cut: "At its core", "In today's [X]", "It's worth noting", "At the end of the day", "In a world where", "The reality is"
| Avoid | Use instead |
|---|---|
| Navigate (challenges) | Handle, address |
| Landscape (context) | Situation, field |
| Game-changer | Significant change |
| Double down | Commit, increase |
| Moving forward | Next, from now on |
| On the same page | Agreed |
| Lean into | Accept, embrace |
Remove any phrasing that belongs in a chatbot conversation, not in prose.
Replace with the shorter form.
State the point directly. Drop the negation.
| Pattern | Problem |
|---|---|
| "Not because X. Because Y." | Telegraphed reversal |
| "[X] isn't the problem. [Y] is." | Formulaic reframe |
| "The answer isn't X. It's Y." | Predictable pivot |
| "Not X. But Y." | Mechanical contrast |
| "not just X but also Y" | Additive hedge |
Instead: state Y. "The problem is Y." Drop the contrast entirely.
State the thing directly. Skip the buildup.
| Pattern | Problem |
|---|---|
| "Not a X... Not a Y... A Z." | Dramatic buildup through negation |
| "It wasn't X. It wasn't Y. It was Z." | Same structure, past tense |
AI avoids naming actors by giving inanimate things human verbs. Find the person and name them.
| Pattern | Fix |
|---|---|
| "a complaint becomes a fix" | Someone fixed it |
| "the decision emerges" | Someone decided |
| "the culture shifts" | People changed behaviour |
| "the data tells us" | Someone read the data and concluded |
| "the market rewards" | Buyers pay for things |
Put the reader in the room. Use "you" or name the actor.
| Pattern | Problem |
|---|---|
| "Nobody designed this." | Disembodied observation |
| "This happens because..." | Lecturer voice |
| "People tend to..." | Armchair sociologist |
Name who did the thing. Passive voice hides actors and drains energy.
| Pattern | Fix |
|---|---|
| "X was created" | Name who created it |
| "It is believed that" | Name who believes it |
| "Mistakes were made" | Name who made them |
| Pattern | Fix |
|---|---|
| Sentences starting with What, When, Where, Which, Who, Why, How | Restructure; lead with the subject |
| Paragraphs starting with "So" | Start with the content |
| Sentences starting with "Look," | Remove |
| Three or more consecutive paragraphs starting with the same word | Vary the structure |
Remove or collapse into implicit flow.
AI forces ideas into groups of three. Use two items, or one, or as many as the content genuinely requires.
Before: "The event features keynote sessions, panel discussions, and networking opportunities." After: "The event has talks, panels, and informal networking."
Better: "The event has talks and panels, with time between sessions for informal conversation."
These announce insight instead of delivering it.
Sentence fragments for emphasis read as manufactured profundity.
Use complete sentences. Trust the content.
Em dashes are forbidden. Remove every instance without exception. Rewrite using a comma, full stop, parentheses, or a restructured clause. There is no case in which an em dash should be retained.
Before: "The term is primarily promoted by Dutch institutions -- not by the people themselves -- yet this continues in official documents." After: "The term is primarily promoted by Dutch institutions, not by the people themselves, yet it continues in official documents."
Remove colons that introduce a single clause or phrase where a comma or restructured sentence would read more naturally. Retain colons that introduce a genuine list or a formally introduced quotation.
Replace overused semicolons with a full stop or a conjunction. Retain semicolons only where two closely related independent clauses genuinely warrant the link.
Remove ellipses used for theatrical pause or dramatic effect. Retain only in quoted speech where words are genuinely omitted.
Remove bold from mid-sentence phrases used for emphasis. Retain bold only for terms being defined, UI labels, or technical identifiers where a reader might scan for them.
Before: "The team used OKRs, KPIs, and the Balanced Scorecard." After: "The team used OKRs, KPIs, and the Balanced Scorecard."
AI outputs bullet lists where each item opens with a bolded header. Convert to prose where the content allows.
Before:
After: The update speeds up load times and adds end-to-end encryption.
Remove phrasing that inflates importance without adding information.
Words to watch: "stands as", "serves as a testament to", "marking a pivotal moment", "underscores its importance", "reflects broader", "setting the stage for", "represents a shift", "evolving landscape", "indelible mark"
Before: "The Statistical Institute was established in 1989, marking a pivotal moment in the evolution of regional statistics." After: "The Statistical Institute was established in 1989 to collect and publish regional statistics independently."
Removing slop is only half the job. Clean, voiceless writing is still flat. Good writing has a person behind it.
Signs of soulless writing even after slop removal:
How to add voice:
Rate 1-10 on each dimension:
| Dimension | Question |
|---|---|
| Directness | Statements or announcements? |
| Rhythm | Varied or metronomic? |
| Trust | Respects reader intelligence? |
| Authenticity | Sounds human? |
| Density | Anything cuttable? |
Below 35/50: revise.
Run these checks before finalising any document. Do not mark output complete until all pass.
After the checklist: read the text aloud. If any sentence sounds like it came from a template, rewrite it.
After revision, ask: "What still makes this obviously AI-generated?"
Answer briefly with any remaining tells. Then revise to address them.
Works in sequence with:
Order of execution:
Research -> Draft -> Slop Removal -> Style Layer -> Final Audit
Runs a structured adversarial critique process using opposing reviewer roles and synthesis to expose hidden risks, weak reasoning, and blind spots in code, plans, documents, strategies, or agent outputs.
Performs systematic, multi-dimensional code review covering correctness, security, performance, maintainability, and style. Produces actionable, prioritised findings with evidence-based recommendations. Use when asked to review code, audit a pull request, or evaluate implementation quality.
Manages an outcome-focused backlog stored in /work/backlog.md. Handles command-driven operations to add, refine, list, start, complete, and archive work items. Each item is tracked with a status, creation date, and a clear observable outcome statement. Use when asked to manage a backlog, add work items, or check what to work on next.
基于 SOC 职业分类