Cover Xiaohongshu
Codex 中的小红书封面设计与图片生成进化 Skill。唤醒词:小红书封面生成、小红书封面拆解。读取文章或结构化入参,通过目标提取、多路构图尝试、Judge 改进器和记忆更新,生成小红书封面提示词,或在 Codex 中调用图片生成能力产出小红书封面图;也可拆解样图排版方法,丰富可复用排版库以提升后续生成多样性。支持 prompt_mode、image_mode、production_mode,支持10种构图风格、真人出镜、多参考图:图1固定为人脸,图2起为UI截图、产品图等素材。关键词:小红书封面、小红书封面生成、小红书封面拆解、小红书封面设计、封面生成、提示词生成、封面优化、排版库。
Install
npx skills add chaoshouli/cover-xiaohongshu --skill cover-xiaohongshugit clone --depth 1 https://github.com/chaoshouli/cover-xiaohongshu.git /tmp/cover-xiaohongshu
mkdir -p ~/.claude/skills
cp -r /tmp/cover-xiaohongshu/. ~/.claude/skills/cover-xiaohongshuPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# 小红书封面 Skill 读取文章内容或结构化入参 → 抽取封面目标 → 逐步补全缺失信息 → 多路生成 → Judge 改进 → 收敛输出提示词或封面图。 **重要:一次只问一个问题,等用户回答后再问下一个。** --- ## 运行模式 根据用户意图选择模式: - **prompt_mode**:只输出可复制到图片生成模型的封面提示词。 - **image_mode**:先生成最终封面提示词,再在 Codex 中调用图片生成能力直接生成封面图。 - **production_mode**:生成更适合落地的封面资产。优先生成无字或弱文字底图,再用后期方式叠加清晰中文标题,避免图片模型生成错误中文。 默认: - 用户说“生成提示词”“给我 prompt” → `prompt_mode` - 用户说“生成封面图”“直接出图”“做一张封面” → `image_mode` - 用户强调“可发布”“中文字要清楚”“生产可用” → `production_mode` 详细入参见 `references/input-schema.md`。详细模式规则见 `references/generation-modes.md`。详细 Judge 规则见 `references/judge.md`。持久进化规则见 `references/evolution-policy.md`。 读取规则: - 用户提供结构化参数时,先读取 `references/input-schema.md`。 - 用户要求直接出图或生产可用封面时,读取 `references/generation-modes.md`。 - 用户要求优化质量、对比多个方案、解释为什么这样设计,或需要生成最终版本时,读取 `references/judge.md`。 - 用户要求这个 Skill 自升级、沉淀经验、集中训练、复盘使用记录时,读取 `references/evolution-policy.md`,并使用 `memory/`。 --- ## 核心原则 这个 Skill 的目标不是直接写出一段封面提示词,而是持续逼近一个更可能被点击、被理解、被记住、并能稳定生成的封面方案。 运行逻辑: ```text 文章内容 → Target 提取 → 信息补全 → 标题 / 构图 / 主视觉多路尝试 → Judge 找最弱点 → 按改进动作修正 → 输出最终提示词或生成封面图 → 更新本轮记忆 ``` --- ## Target 提取 在正式提问前,先从文章内容里提取封面目标。不要向用户展示长分析,只在内部使用。 必须提取: - **内容主题**:这篇文章到底讲什么 - **核心受众**:谁最应该点开 - **点击动机**:用户为什么要点 - **情绪方向**:震惊、好奇、爽感、专业、温暖、反差、危机感、获得感 - **视觉主锤**:封面上最应该被一眼看到的东西 - **标题方向**:4-8个字,优先短、狠、具体 如果文章信息不足,先基于已知内容生成临时 Target,再通过后续问题补全。 如果安装目录里存在 `assets/examples/`,可把示例封面作为 Target Box:学习它们的构图、层级、标题密度、人物占比、遮挡关系和情绪强度,但不要复刻具体标题、人物、配色或画面元素。 --- ## Action Team 拿到用户回答后,不要只按模板直出。先在内部生成至少 3 个候选方向:
Details
- Skill name
cover-xiaohongshu- Repository
- chaoshouli/cover-xiaohongshu
- License
- MIT
- Repo updated
- 28 May 2026
FAQ
What does the Cover Xiaohongshu skill do?
Codex 中的小红书封面设计与图片生成进化 Skill。唤醒词:小红书封面生成、小红书封面拆解。读取文章或结构化入参,通过目标提取、多路构图尝试、Judge 改进器和记忆更新,生成小红书封面提示词,或在 Codex 中调用图片生成能力产出小红书封面图;也可拆解样图排版方法,丰富可复用排版库以提升后续生成多样性。支持 prompt_mode、image_mode、production_mode,支持10种构图风格、真人出镜、多参考图:图1固定为人脸,图2起为UI截图、产品图等素材。关键词:小红书封面、小红书封面生成、小红书封面拆解、小红书封面设计、封面生成、提示词生成、封面优化、排版库。
How do I install the Cover Xiaohongshu skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add chaoshouli/cover-xiaohongshu --skill cover-xiaohongshu. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Cover Xiaohongshu popular?
It lives in chaoshouli/cover-xiaohongshu, which has 12 GitHub stars and 0 forks.
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