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unslop

Remove AI writing patterns from prose. Use for docs, READMEs, blog posts, any non-code text that should sound human. Triggers: "unslop", "humanize", "make this sound human", "clean up this writing", "edit for voice", "de-AI this text".

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=poteto-noodle-agents-skills-unslop-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
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name unslop description Remove AI writing patterns from prose. Use for docs, READMEs, blog posts, any non-code text that should sound human. Triggers: "unslop", "humanize", "make this sound human", "clean up this writing", "edit for voice", "de-AI this text". Unslop Edit text to remove AI patterns and add human voice. Process Scan for the patterns below Rewrite — preserve meaning, match intended tone Add soul (see next section) Self-audit: "What makes this obviously AI generated?" Fix remaining tells. Adding soul Removing patterns is half the job. Sterile, voiceless writing is just as obvious. Have opinions. React to facts instead of neutrally listing pros and cons. Vary rhythm. Short sentences. Then longer ones that take their time. Mix it up. Acknowledge complexity. "Impressive but also kind of unsettling" beats "impressive." Use "I" when it fits. First person isn't unprofessional. Let some mess in. Perfect structure feels algorithmic. Be specific. Not "this is concerning" but "there's something unsettling about agents churning away at 3am." Patterns to detect and fix Content Significance inflation — "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened. Notability name-dropping — listing media outlets without context. Pick one, say what was said. Superficial -ing phrases — "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources. Promotional language — "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions. Vague attributions — "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete. Formulaic challenges — "Despite challenges... continues to thrive." Replace with specific facts. Language AI vocabulary — Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Replace with plain words. Copula avoidance — "serves as", "stands as", "boasts", "features". Just say "is" or "has". Negative parallelisms — "It's not just X, it's Y." State the point directly. Rule of three — forcing ideas into groups of three. Use the natural number. Synonym cycling — protagonist/main character/central figure/hero in one paragraph. Pick one, repeat it. False ranges — "from X to Y" where X and Y aren't on a meaningful scale. List topics directly. Style Em dash overuse — avoid em dashes entirely. Use periods, commas, or parentheses. Em dashes are an AI tell. Colon overuse — colons are fine before a list or example. Not as mid-sentence connectors. "If you're coming from traditional automation: instead of registering event handlers, you describe conditions" adds nothing with the colon. Rewrite to let the point stand on its own without comparison framing. "Describing when the scheduler should fire works best as plain English." Same meaning, no crutch punctuation. Boldface overuse — don't bold every proper noun or acronym. Inline-header lists — " Performance: Performance improved..." Convert to prose. Title case headings — use sentence case. Decorative emojis — remove from headings and bullets. Curly quotes — replace with straight quotes. Communication artifacts Chatbot phrases — "I hope this helps!", "Let me know if...", "Of course!", "Certainly!" Remove. Cutoff disclaimers — "While specific details are limited..." Find sources or remove. Sycophantic tone — "Great question! You're absolutely right!" Respond directly. Filler Filler phrases — "In order to" → "To". "Due to the fact that" → "Because". "It is important to note that" → delete. Excessive hedging — "could potentially possibly be argued that it might" → "may". Generic conclusions — "The future looks bright." State specific plans or facts.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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