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Agent Skills

共 69 个资源 · Agent Skill 是带 SKILL.md 的指令包。安装后,AI 会根据 description 在匹配任务时自动加载,无需每次手动粘贴提示词。

“writing” 共 69 个结果

open-novel-writing

v1.0.0

SkillClawHub

io.clawhub.softmeng/open-novel-writing

中文长篇小说创作助手。支持从想法到成书的完整创作流程:世界观设定、故事大纲、章节规划、正文生成、质量评审。 使用场景:创作中文小说、辅助构思情节、生成章节正文、评审改进文稿。 特点:模块化设计,可单独使用任意模块;分级红线机制,区分必须避免和建议优化;对话式引导,非CLI驱动。

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academic-writing-refiner

v1.0.0

SkillClawHub

io.clawhub.zihan-zhu/academic-writing-refiner

Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.

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Blog Writer

v0.1.0

SkillClawHub

io.clawhub.tomstools11/blog-writer

This skill should be used when writing blog posts, articles, or long-form content in the writer's distinctive writing style. It produces authentic, opinionated content that matches the writer's voice—direct, conversational, and grounded in personal experience. The skill handles the complete workflow from research review through Notion publication. Use this skill for drafting blog posts, thought leadership pieces, or any writing meant to reflect the writer's perspective on AI, productivity, sales, marketing, or technology topics.

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Humanizer

v1.0.0

SkillClawHub

io.clawhub.biostartechnology/humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

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