#507 by GitHub stars
alchaincyf/huashu-skills
花叔全部开源 Agent Skills 总目录:16 旗舰 + 14 人物视角 + 22 内置共 52 个 skill,分层分类 + AI Agent 安装协议 + 机器可读 skills.json + 更新检查机制
History
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Heat
7.6- Star growth, last 7 daysAhead of 96% of tracked repositories
- Star growth, last 24 hoursAhead of 94% of tracked repositories
- Rank movement, last 7 daysAhead of 73% of tracked repositories
- Commits, last 30 daysAhead of 73% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- huashu-agent-swarm
huashu-agent-swarm - huashu-article-edit
huashu-article-edit - huashu-article-to-x
huashu-article-to-x - huashu-data-pro
huashu-data-pro - huashu-design
huashu-design - huashu-douyin-script
huashu-douyin-script - huashu-image-upload
huashu-image-upload - huashu-info-search
huashu-info-search - huashu-material-search
huashu-material-search - huashu-md-to-pdf
huashu-md-to-pdf - huashu-prompt-save
huashu-prompt-save - huashu-proofreading
huashu-proofreading - huashu-research
huashu-research - huashu-script-polish
huashu-script-polish - huashu-skill-updater
huashu-skill-updater - huashu-slides
huashu-slides - huashu-speech-coach
huashu-speech-coach - huashu-topic-gen
huashu-topic-gen - huashu-video-check
huashu-video-check - huashu-video-outline
huashu-video-outline - huashu-wechat-image
huashu-wechat-image - huashu-xhs-image
huashu-xhs-image
How it works
huashu-agent-swarm
When your agent uses it
多Agent蜂群并行协作,纯git自组织,适合大型项目开发。当用户提到"蜂群模式"、"多agent"、"并行开发"、"agent swarm"时使用。
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
1,075 tokensWhen the skill is activated
Reference documents
2,176 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 触发条件
- 前置要求
- 使用流程
- 核心机制
- 关键配置
- 风险和应对
Scripts executed separately
scripts/agent_loop.shscripts/dashboard.pyscripts/send_input.shscripts/setup_project.shscripts/start_swarm.shscripts/status.shscripts/stop_swarm.sh
Files
SKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesSKILL.mdcore3,718 bytesreferences/agent-prompt-template.mddoc4,248 bytesreferences/carlini-lessons.mddoc3,396 bytesscripts/agent_loop.shruns2,862 bytesscripts/dashboard.pyruns21,105 bytesscripts/send_input.shruns1,054 bytesscripts/setup_project.shruns2,770 bytesscripts/start_swarm.shruns3,384 bytesscripts/status.shruns2,768 bytesscripts/stop_swarm.shruns2,369 bytes
Read SKILL.md
# Infinite Agent Loop - 无限Agent蜂群模式
> 受Nicholas Carlini用16个Claude实例自主构建C编译器的启发。
> 没有master agent,纯git自组织,每个agent独立认领任务、写代码、推送。
## 触发条件
当用户提到「蜂群模式」「多agent并行」「infinite loop」「agent swarm」「启动蜂群」时使用此技能。
## 前置要求
- tmux(`brew install tmux`)
- claude CLI(已安装)
- git 仓库(已有或新建)View the complete source on GitHubhuashu-article-edit
When your agent uses it
标准化文章编辑流程,确保修改范围明确、进度可追踪、变更有记录。当用户说"编辑文章"、"修改文章"、"调整内容"、"改一下这篇"时使用此技能。
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
567 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行流程
- 关键原则
- 与审校流程的关系
Files
SKILL.mdcore1,974 bytes
Read SKILL.md
# 文章编辑 Skill
标准化的文章编辑流程,解决会话截断导致编辑工作丢失的问题。
## 何时使用
- 用户要求编辑、修改、优化已有文章
- 需要对文章进行多处修改
- 内容删减、语气调整、结构重组等编辑工作
## 执行流程
### Step 1: 完整阅读目标文章
- 用 Read 工具完整阅读文章View the complete source on GitHubhuashu-article-to-x
When your agent uses it
长文精简为X平台内容(200-500字),保留核心观点和个人风格。当用户提到"转微博"、"发小红书"、"社交媒体"、"缩短文章"时使用。
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
790 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心目标
- 3种切入角度
- 标准结构(200-500字)
- 风格要点
- 检查清单
Files
SKILL.mdcore2,551 bytes
Read SKILL.md
# 长文转X内容
将3000-5000字长文浓缩成200-500字的X平台内容,保持花生风格。
## 何时使用
- 文章完成后,需要X平台推广
- 用户说"转成X内容"、"生成X推广"
## 核心目标
- 浓缩核心观点到200-500字
- 保持口语化和花生风格
- 增加互动引导View the complete source on GitHubhuashu-data-pro
When your agent uses it
数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流。 始终从专家视角出发,帮用户多想一步。遇到不确定的问题主动与用户确认。 支持:Excel数据分析、投放数据复盘、ROI测算、数据可视化、报告生成、PPT制作、公式生成。 当用户提到"分析数据"、"做报告"、"做PPT"、"Excel"、"投放分析"、"ROI"、"复盘"、 "周报"、"月报"、"数据处理"、"图表"、"可视化"、"汇报"、"表格"、"公式"时使用此技能。
What it loads into context
Frontmatter
195 tokensAlways available to the agent
SKILL.md
2,082 tokensWhen the skill is activated
Reference documents
18,384 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 核心哲学
- 输出格式决策
- 设计哲学
- 分析哲学
- 工具与脚本
- 参考文件索引
Scripts executed separately
scripts/build_pptx.jsscripts/html2pptx.jsscripts/read_excel.pyscripts/read_pptx.py
Files
SKILL.mdcore7,021 bytesSKILL.mdcore7,021 bytesreferences/ad-analytics.mddoc1,477 bytesreferences/html-templates.mddoc16,785 bytesreferences/report-style-gallery.mddoc9,771 bytesreferences/visual-design-system.mddoc18,545 bytesreferences/workflows.mddoc6,728 bytesscripts/build_pptx.jsruns7,017 bytesscripts/html2pptx.jsruns34,510 bytesscripts/read_excel.pyruns3,883 bytesscripts/read_pptx.pyruns7,562 bytes
Read SKILL.md
# 数据分析与办公提效助手
> 帮用户多想一步——不只完成任务,更提供专家洞察。
## 核心哲学
1. **先理解,后执行** — 拿到任务先问「用户真正需要什么」
2. **专家视角** — 从最合适的角色出发(分析师/投放优化师/设计师/写作专家)
3. **多想一步** — 完成后主动指出用户可能没注意到的问题、趋势或机会
4. **数据诚实** — 绝不编造数据,图表不误导(零基线、绝对比例、标注来源)
5. **视觉品质** — 所有可视化遵循经验证的设计系统,不做丑图
## 输出格式决策
View the complete source on GitHubhuashu-design
When your agent uses it
设计哲学顾问,从20种风格中推荐3个方向并生成视觉Demo和AI提示词。当用户提到"设计风格"、"设计方向"、"配色方案"、"视觉风格"、"设计评审"、"推荐风格"时使用。
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
2,499 tokensWhen the skill is activated
Reference documents
9,546 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Principles
- When This Skill Triggers
- Workflow: 设计前(Phase 1-6)
- Workflow: 设计后(Phase 7)
- References Library
- User Preferences
- 网页/App设计 — 图标与图片规则
- Notes
Files
SKILL.mdcore8,522 bytesreferences/critique-guide.mddoc7,391 bytesreferences/design-styles.mddoc18,439 bytesreferences/scene-templates.mddoc7,144 bytes
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# Design Philosophy Consultant
像顶级设计企业那样理解需求,推荐设计哲学方向,生成AI提示词,并进行专家级评审。
## Core Principles
1. **约束哲学而非形式** - 定义「为什么这样设计」而非「长什么样」
2. **深度理解优先** - 先理解用户真正要传达什么,再推荐风格
3. **设计是概率性的** - 好的约束产生多样化的高质量结果
4. **评审如乔布斯** - 高标准,但给出可执行的改进路径
## When This Skill Triggers
**设计前(Design Direction)** — 任何涉及视觉呈现的输出需求:View the complete source on GitHubhuashu-douyin-script
When your agent uses it
抖音爆款脚本创作工作流。从竞品视频拆解到脚本生成的完整流程:下载抖音视频→Gemini视频分析→爆款公式提炼→脚本+分镜生成→AI味审校。 当用户提到"抖音脚本"、"爆款拆解"、"竞品分析"、"带货脚本"、"千川素材"、"种草脚本"、"视频拆解"、"抖音视频分析"时使用此技能。
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
4,204 tokensWhen the skill is activated
Reference documents
6,387 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 环境要求
- 6步工作流
- 文件保存规则
- 参考资源
- 快速使用
Scripts executed separately
install.shscripts/analyze_video.pyscripts/download_douyin.py
Files
SKILL.mdcore13,746 bytesSKILL.mdcore13,746 bytesSKILL.mdcore13,746 bytesinstall.shruns1,962 bytesreferences/analysis-dimensions.mddoc6,102 bytesreferences/proven-formulas.mddoc6,727 bytesreferences/script-style-samples.mddoc7,149 bytesscripts/analyze_video.pyruns7,898 bytesscripts/download_douyin.pyruns7,423 bytes
Read SKILL.md
# 抖音爆款脚本创作
从竞品视频拆解到脚本生成的完整工作流。将「凭感觉模仿爆款」变成「AI系统拆解+结构化复制」。
## 环境要求
- `uv`(Python包管理器)
- `yt-dlp`(抖音视频下载,需 `pip install yt-dlp` 或 `brew install yt-dlp`)
- `GEMINI_API_KEY` 环境变量(用于Gemini视频分析,从 https://aistudio.google.com/apikey 获取)
- `GEMINI_BASE_URL` 环境变量(可选,自定义API端点如代理/中转,不设置则用官方端点)
- Chrome浏览器已登录抖音(用于提取下载Cookie)
**路径约定**:下文中 `SKILL_DIR` 指本SKILL.md所在目录的绝对路径。运行脚本前,先用 `dirname` 或 Glob 工具确定SKILL.md的实际位置,替换 `SKILL_DIR`。
View the complete source on GitHubhuashu-image-upload
When your agent uses it
文章配图一键生成并上传图床,自动插入Markdown链接。当用户提到"配图"、"插图"、"上传图片"、"文章配图"时使用。
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
2,118 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用此Skill
- 核心功能
- 配图数量规范
- 配图位置策略
- 图片来源优先级
- 图床上传流程
- Markdown插入格式
- 图片规范
- 版权注意事项
- 配图检查清单
- 执行步骤(5步标准流程)
- 参考资源
- 常见问题
- 技术依赖
- 成功案例
Files
SKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytesSKILL.mdcore7,287 bytes
Read SKILL.md
# 图片配图与上传
为公众号文章自动生成配图、上传到图床、插入Markdown链接的专业能力。
## 何时使用此Skill
当检测到以下场景时,自动加载此skill:
- 用户说"现在配图"、"帮我配图"、"添加图片"
- 文章审校完成后提到配图需求
- 检测到文章内容完整但缺少图片
## 核心功能
1. **分析配图需求**:根据文章内容确定需要5-8张配图View the complete source on GitHubhuashu-info-search
When your agent uses it
多渠道搜索新产品新技术,交叉验证后存入知识库。当用户提到"最新信息"、"新产品"、"搜索资料"、"查资料"、"了解XX"时使用。
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
691 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心功能
- 搜索策略
- 知识管理
- 注意事项
Files
SKILL.mdcore2,329 bytes
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# 信息搜索与知识管理
涉及新产品/新技术时,自动执行多渠道搜索、验证信息、保存知识库。
## 何时使用
- 涉及新产品/新技术(3个月内发布)
- 需要最新信息验证
- 用户说"搜索一下"、"查最新信息"
## 核心功能
1. **多渠道搜索**:官方+媒体+社区
2. **信息源优先级**:权威媒体优先,忽略知乎/百度2025年前View the complete source on GitHubhuashu-material-search
When your agent uses it
搜索个人素材库1800+条真实经历和观点,为内容增加人味。当用户提到"个人经历"、"真实案例"、"素材"、"人味"时使用。
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
3,105 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用此Skill
- 核心功能
- 素材库概况
- 搜索方法
- 典型使用场景
- 改写规范
- 注意事项
- 常见问题
- 技术实现
- 参考资源
- 成功案例
Files
SKILL.mdcore10,836 bytesSKILL.mdcore10,836 bytes
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# 个人素材库搜索
快速搜索花生的真实经历、观点、案例,为内容创作增加人味和可信度。
## 何时使用此Skill
当检测到以下场景时,自动加载此skill:
- 用户说"找找我之前的经历"、"有没有相关案例"
- 文章/脚本需要真实案例支撑
- 内容太"AI味",需要增加人味
- 需要对工具/产品的真实评价
- 需要个人经历作为开场白
## 核心功能View the complete source on GitHubhuashu-md-to-pdf
When your agent uses it
将 Markdown 文档转换为专业的 PDF 白皮书,采用苹果设计风格。 支持完整的 Markdown 语法(代码块、表格、引用、列表等)。 自动生成封面、目录、页眉页脚。 使用场景:技术文档、白皮书、教程、报告等需要专业排版的 Markdown 文档。
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,690 tokensWhen the skill is activated
Reference documents
1,849 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 核心功能
- 使用方法
- 设计特点
- 配置选项
- 常见问题
- 依赖安装
- 示例
- 脚本说明
- 技术实现
- 更新日志
Scripts executed separately
scripts/convert.py
Files
EXAMPLES.mddoc3,803 bytesREADME.mddoc2,197 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesSKILL.mdcore5,677 bytesscripts/convert.pyruns19,021 bytes
Read SKILL.md
# Markdown to PDF Skill
将 Markdown 文档转换为专业的苹果设计风格 PDF 白皮书。
## 核心功能
1. **专业排版**:书籍级排版质量,自动处理分页、孤行寡行
2. **苹果设计**:SF 字体系统、现代简洁风格、专业配色
3. **完整目录**:自动提取章节结构,双列布局,可点击跳转
4. **Markdown 完美支持**:代码块、表格、引用、列表等全部正确渲染
## 使用方法
### 基础用法View the complete source on GitHubhuashu-prompt-save
When your agent uses it
自动识别Prompt类型并分类保存(技术/内容/教学/产品/通用)。当用户提到"保存prompt"、"记录prompt"、"整理prompt"时使用。
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
713 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心功能
- 5大分类规则
- 保存格式
- 执行流程
- 注意事项
- 参考资源
Files
SKILL.mdcore2,423 bytes
Read SKILL.md
# Prompt分类保存
自动识别Prompt类型、保存到对应分类、更新索引的专业能力。
## 何时使用
- 用户说"保存这个prompt"、"记录一下"、"存起来"
- 用户粘贴prompt并说"帮我整理"
## 核心功能
1. **自动识别类型**:5大分类(技术开发/内容创作/教学设计/产品咨询/通用工具)
2. **提取信息**:用途、来源、适用场景、关键特点
3. **自动保存**:`对应分类/prompt-[序号]-[标题].md`View the complete source on GitHubhuashu-proofreading
When your agent uses it
三遍审校降低AI检测率,让文章更有人味。当用户提到"AI味太重"、"像AI写的"、"降低AI检测率"、"审校"、"自然一些"时使用。
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
3,111 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用此Skill
- 核心目标
- 三遍审校流程
- 花生风格特征(必须保持)
- 个人素材库使用
- 审校工具(可选)
- 常见错误与改写示例
- 参考资源
- 成功案例
Files
SKILL.mdcore10,615 bytes
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# AI味审校
系统化降低文章AI检测率,增加人味的三遍审校专业能力。
## 何时使用此Skill
当检测到以下场景时,自动加载此skill:
- 用户说"审校一下"、"降低AI味"、"太AI了"
- 初稿创作完成后
- 用户提到"AI检测率高"、"没人味"
- 文章需要最终polish
## 核心目标
View the complete source on GitHubhuashu-research
When your agent uses it
结构化网络调研流程,确保调研成果增量保存到文件,不因会话截断丢失。当用户说"调研"、"搜索资料"、"帮我查一下"、"了解一下"、"最新信息"时使用此技能。
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
838 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行流程
- 关键原则
- 与其他 Skill 的关系
- 输出位置
Files
SKILL.mdcore2,852 bytes
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# 调研 Skill
结构化的网络调研流程,核心目标:调研成果实时持久化,防止会话截断丢失工作。
## 何时使用
- 为写文章做前期调研
- 了解新产品、新技术、新发布
- 搜集竞品信息或行业动态
- 任何需要多次 WebSearch 的信息搜索任务
## 执行流程
### Step 1: 立即创建调研文件View the complete source on GitHubhuashu-script-polish
When your agent uses it
视频脚本口语化审校,去书面腔让脚本适合说出来。当用户提到"口语化"、"太书面了"、"像说话一样"、"脚本审校"时使用。
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
684 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心目标
- 三遍审校(视频专用)
- 口语化改写示例
- 参考资源
Files
SKILL.mdcore2,130 bytes
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# 视频脚本口语化审校
让视频脚本更适合实际录制,强化口语感,去掉书面语和AI味。
## 何时使用
- 脚本初稿完成后
- 用户说"审校脚本"、"太书面化"
- 需要让脚本更口语化
## 核心目标
- 去掉书面语,全面口语化
- 适合大声说出来(不卡顿)View the complete source on GitHubhuashu-skill-updater
When your agent uses it
检查并更新花叔系 skills。用户说「检查skill更新」「更新花叔的skill」「skill是不是最新的」时触发。按各仓库的版本标签判断有没有新版本,只提示,是否更新由用户决定。
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,078 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 全量检查(首选)
- 执行更新
- 元数据约定
- 每月定期检查
- 给 agent 的行为规则
Scripts executed separately
scripts/check_updates.py
Files
SKILL.mdcore3,973 bytesSKILL.mdcore3,973 bytesSKILL.mdcore3,973 bytesSKILL.mdcore3,973 bytesSKILL.mdcore3,973 bytesscripts/check_updates.pyruns6,490 bytes
Read SKILL.md
# huashu-skill-updater — 花叔系 Skill 更新检查
花叔的 skill 都在持续迭代(修 bug、补方法论、加能力)。这个 skill 负责让用户装过的版本不掉队。
## 全量检查(首选)
```bash
python3 ~/.claude/skills/huashu-skill-updater/scripts/check_updates.py
```
脚本会扫描 skills 目录下所有花叔系 skill(识别标准:目录带 `.git` 且 origin 指向 alchaincyf,或存在 `.huashu-skill-meta.json`),输出「已最新 / 有更新 / 无法判断」三态报告。有更新时 exit code 为 1,方便接 cron。
怎么算「有新版本」:git 安装的 skill,比较 SKILL.md 开头 `metadata.version` 和远程仓库最大的 `vX.Y.Z` 标签。作者只在实质更新(新能力、行为变化、修 bug)时打标签,改错字、改 README 不打,所以不会因为小改动反复提醒。检查只读取远程标签,不下载文件、不上传数据。复制安装的 skill 没有版本号,仍按来源仓库的 commit 比较。
View the complete source on GitHubhuashu-slides
When your agent uses it
从内容到成品PPTX的端到端演示文稿制作,含AI插画生成和18种设计风格。当用户提到"做PPT"、"做幻灯片"、"演示文稿"、"Keynote"、"slides"时使用。
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
8,404 tokensWhen the skill is activated
Reference documents
15,819 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Step 0: Choose Workflow Settings
- Step 1: Content Structuring
- Step 2: Design System
- Step 3: Build Slides
- Step 4: PPTX Assembly
- Step 5: Preview & Polish
- Design Quick Reference
- Related Skills
- Output
Scripts executed separately
scripts/create_slides.py
Files
SKILL.mdcore32,607 bytesSKILL.mdcore32,607 bytesSKILL.mdcore32,607 bytesSKILL.mdcore32,607 bytesSKILL.mdcore32,607 bytesSKILL.mdcore32,607 bytesassets/.DS_Storeasset6,148 bytesassets/style-samples/slide04-01-苏联构成主义-constructivism.pngasset744,080 bytesassets/style-samples/slide04-02-浮世绘-ukiyo-e.pngasset984,335 bytesassets/style-samples/slide04-03-包豪斯-bauhaus.pngasset998,923 bytesassets/style-samples/slide04-04-孔版印刷-risograph.pngasset853,799 bytesassets/style-samples/slide04-05-等轴测-isometric.pngasset717,723 bytesassets/style-samples/slide04-06-工程蓝图-blueprint.pngasset775,474 bytesassets/style-samples/slide04-07-复古广告-vintage-ad.pngasset997,945 bytesassets/style-samples/slide04-08-达达拼贴-collage.pngasset903,201 bytesassets/style-samples/slide04-09-像素画-pixel-art.pngasset823,644 bytesassets/style-samples/slide04-10-敦煌壁画-dunhuang.pngasset932,844 bytesassets/style-samples/slide04-13-温暖叙事-warm-narrative.pngasset689,747 bytesassets/style-samples/slide04-ligne-claire.pngasset682,624 bytesassets/style-samples/slide04-manga.pngasset921,806 bytesassets/style-samples/slide04-neo-pop.pngasset707,114 bytesassets/style-samples/slide04-oatmeal.pngasset823,071 bytesassets/style-samples/slide04-snoopy.pngasset804,259 bytesassets/style-samples/slide04-xkcd.pngasset962,289 bytesreferences/design-movements.mddoc8,696 bytesreferences/design-principles.mddoc8,022 bytesreferences/prompt-templates.mddoc24,131 bytesreferences/proven-styles-gallery.mddoc13,338 bytesreferences/proven-styles-snoopy.mddoc3,597 bytesscripts/create_slides.pyruns9,643 bytes
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# AI Presentation Workflow
Create professional presentations: Content → Design → Build → Assembly → Polish.
## Step 0: Choose Workflow Settings
**At the start of every presentation task, ask the user TWO choices:**
### 0-A. Collaboration Mode
| Mode | Description | Checkpoints |
|------|-------------|-------------|
| **Full Auto** | Minimal interaction. Confirm topic only, deliver final PPTX. | 1 checkpoint |
| **Guided** (recommended) | Confirm outline, pick design, preview before assembly. | 3 checkpoints |View the complete source on GitHubhuashu-speech-coach
When your agent uses it
演讲与分享教练。基于Patrick Winston(MIT AI教授)的How to Speak方法论,帮助准备线下培训、技术分享、B站教程视频等演讲场景。当用户提到"演讲"、"分享"、"培训"、"讲课"、"PPT演讲"、"开场"、"结尾"、"如何讲"、"演讲结构"时使用此技能。
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
3,331 tokensWhen the skill is activated
Reference documents
3,001 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 使用场景
- 核心方法论
- 一、如何开场
- 二、演讲过程的四个核心技巧
- 三、时间与地点
- 四、工具与道具
- 五、如何启发(Inspire)
- 六、如何结尾
- 七、Winston之星:让你的工作被记住
- 八、隐性技巧(Meta-techniques)
- 如何使用这个Skill
- 审查评分(10分制)
- 速查清单
Files
SKILL.mdcore11,292 bytesreferences/patrick-winston-how-to-speak.mddoc9,996 bytes
Read SKILL.md
# 演讲教练 Presentation Coach
> 基于Patrick Winston教授(MIT)的How to Speak方法论
> 原始视频:https://youtu.be/Unzc731iCUY
> Winston教授2019年去世,这门课成为他的「最后一课」,在YouTube上收获1500万+观看
> 参考材料:`references/patrick-winston-how-to-speak.md`
---
## 使用场景
| 场景 | 怎么帮 |
|------|--------|
| 线下培训/工作坊 | 审查大纲结构、优化开场结尾、设计互动环节 |View the complete source on GitHubhuashu-topic-gen
When your agent uses it
快速生成3-4个选题方向,含标题、大纲和优劣分析。当用户提到"选题"、"写什么"、"文章方向"、"题目建议"时使用。
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
789 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心功能
- 选题方向类型
- 选题模板
- 选题标题策略
- 注意事项
- 参考资源
Files
SKILL.mdcore2,460 bytes
Read SKILL.md
# 选题生成
快速生成3-4个公众号文章选题方向,每个选题包含标题、大纲、优劣分析。
## 何时使用
- 保存brief后
- 用户说"提供选题"、"给几个选题方向"
- 文章创作流程的Step 3(选题讨论)
## 核心功能
1. **提供3-4个选题方向**:每个选题不同角度
2. **每个选题包含**:标题、核心角度、大纲、工作量评估、优劣分析View the complete source on GitHubhuashu-video-check
When your agent uses it
基于MrBeast策略检查视频标题、封面和开头钩子。当用户提到"视频标题"、"封面图"、"点击率"、"CTR"、"观看时长"时使用。
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
3,586 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用此Skill
- 核心目标
- 检查维度
- 1<U+FE0F>⃣ 标题检查:强对比策略
- 2<U+FE0F>⃣ 封面检查:结果展示策略
- 3<U+FE0F>⃣ 内容承接检查:悬念后置策略
- 完整检查流程
- 参考资源
- 成功案例
Files
SKILL.mdcore11,791 bytes
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# 视频封标与承接检查
基于MrBeast案例的视频标题、封面、内容承接专业检查能力,提升点击率和观看时长。
## 何时使用此Skill
当检测到以下场景时,自动加载此skill:
- 用户说"检查封标"、"检查标题和封面"、"检查内容承接"
- 视频脚本初稿完成后
- 用户提到"点击率低"、"观看时长短"
- 需要优化视频标题或封面
## 核心目标
View the complete source on GitHubhuashu-video-outline
When your agent uses it
快速生成2-3个视频大纲方案,含标题、封面建议和结构设计。当用户提到"视频大纲"、"视频结构"、"脚本大纲"、"视频选题"时使用。
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
686 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 核心功能
- 大纲方案模板
- 标题策略(5种对比)
- 封面策略
- 注意事项
Files
SKILL.mdcore2,142 bytes
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# 视频大纲生成
快速生成2-3个视频脚本大纲方案,包含标题、封面建议、结构设计。
## 何时使用
- 保存视频brief后
- 用户说"提供大纲"、"给几个方案"
- 视频创作流程的Step 3(大纲讨论)
## 核心功能
1. **提供2-3个大纲方案**:每个方案不同角度
2. **每个方案包含**:标题、封面建议、核心角度、大纲结构、时长预估View the complete source on GitHubhuashu-wechat-image
When your agent uses it
为微信公众号文章生成高质量配图。支持封面图(2.35:1)、正文插图(16:9/4:3)、信息图。提供两条路径:AI生成(视觉创意型)和HTML渲染(文字精确型)。当用户提到"公众号配图"、"公众号封面"、"文章配图"、"正文插图"、"公众号图片"时使用此技能。
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
4,526 tokensWhen the skill is activated
Reference documents
4,710 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ⚠<U+FE0F> 核心原则:先提案,后生成
- 核心参数
- Step 0: 确定配图需求 ✅ 用户确认
- Step 1: 风格选择 ✅ 用户确认
- Step 2: 选择生成路径 ✅ 用户确认
- Step 3: 生成图片
- Step 4: 上传图床
- 快速参考
- 相关 Skills
- 参考文件
Scripts executed separately
scripts/generate_image.py
Files
SKILL.mdcore14,520 bytesSKILL.mdcore14,520 bytesSKILL.mdcore14,520 bytesSKILL.mdcore14,520 bytesreferences/design-guidelines.mddoc8,164 bytesreferences/style-gallery.mddoc7,472 bytesscripts/generate_image.pyruns7,614 bytes
Read SKILL.md
# 公众号配图工作流
## ⚠<U+FE0F> 核心原则:先提案,后生成
**绝对不能跳过设计提案直接出图。** 正确流程:
```
理解内容 → 设计提案(2-3个方向)→ 用户选择 → 生成 → 预览确认 → 上传
```
设计审美画像和提案格式见姊妹skill `xhs-image/SKILL.md`,公众号配图同样适用。
## 核心参数
View the complete source on GitHubhuashu-xhs-image
When your agent uses it
为小红书笔记生成高质量配图。默认AI生成(Gemini),仅精确数据表格用HTML兜底。当用户提到"小红书配图"、"小红书封面"、"小红书图片"、"做张小红书图"、"笔记配图"时使用此技能。
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
3,190 tokensWhen the skill is activated
Reference documents
3,798 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ⚠<U+FE0F> 核心原则:先提案,后生成
- 花叔设计审美画像
- 核心参数
- Step 1: 理解内容
- Step 2: 设计提案 ✅ 必须等用户选择
- Step 3: 生成图片
- Step 4: 预览确认
- Step 5: 上传图床
- HTML截图路径(AI文字渲染失败、精确数据表格、或用户要求对比时使用)
- 快速参考
- 相关 Skills
- 参考文件
Scripts executed separately
scripts/generate_image.py
Files
SKILL.mdcore10,463 bytesSKILL.mdcore10,463 bytesSKILL.mdcore10,463 bytesSKILL.mdcore10,463 bytesSKILL.mdcore10,463 bytesreferences/design-guidelines.mddoc5,736 bytesreferences/style-gallery.mddoc7,089 bytesscripts/generate_image.pyruns6,536 bytes
Read SKILL.md
# 小红书配图工作流
## ⚠<U+FE0F> 核心原则:先提案,后生成
**绝对不能跳过设计提案直接出图。** 正确流程:
```
理解内容 → 设计提案(2-3个方向)→ 用户选择 → 生成 → 预览确认 → 上传
```
---
## 花叔设计审美画像
View the complete source on GitHubSkills included
- huashu-agent-swarm
- huashu-article-edit
- huashu-article-to-x
- huashu-data-pro
- huashu-design
- huashu-douyin-script
- huashu-image-upload
- huashu-info-search
- huashu-material-search
- huashu-md-to-pdf
- huashu-prompt-save
- huashu-proofreading
- huashu-research
- huashu-script-polish
- huashu-skill-updater
- huashu-slides
- huashu-speech-coach
- huashu-topic-gen
- huashu-video-check
- huashu-video-outline
- huashu-wechat-image
- huashu-xhs-image
Repository facts
- License
- MIT
- Created
- Jan 24, 2026
- Last pushed
- Nov 2, 2026
- Forks
- 307
- Open issues
- 2
- Project activity
- Active
Rank over the last 12 weeks
Now #507 · best #464 · up 9 in 30 days
- #506 from Oct 31 to Nov 1
- #507 from Nov 2 to Nov 3
- #504 on Nov 4
- #503 on Nov 5
- #505 on Nov 6
- #507 since Nov 7
79 earlier periods
- #464 on Aug 2
- #464 from Aug 8 to Aug 9
- #483 on Aug 10
- #478 on Aug 11
- #473 on Aug 12
- #483 from Aug 13 to Aug 14
- #466 on Aug 15
- #471 on Aug 16
- #476 on Aug 17
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- #491 on Sep 24
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- #505 on Sep 27
- #506 on Sep 28
- #518 on Sep 29
- #509 on Sep 30
- #501 on Oct 1
- #502 on Oct 2
- #488 on Oct 3
- #484 on Oct 4
- #492 on Oct 5
- #508 on Oct 6
- #504 on Oct 7
- #516 on Oct 8
- #514 on Oct 9
- #507 on Oct 10
- #508 on Oct 11
- #518 on Oct 12
- #517 on Oct 13
- #518 on Oct 14
- #507 on Oct 15
- #512 on Oct 16
- #496 on Oct 17
- #498 on Oct 18
- #511 on Oct 19
- #508 on Oct 20
- #509 on Oct 21
- #501 on Oct 22
- #490 on Oct 23
- #476 on Oct 24
- #514 on Oct 25
- #506 on Oct 28
- #507 from Oct 29 to Oct 30
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 41 notes
huashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-agent-swarm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-data-pro/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-douyin-script/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-douyin-script/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-image-upload/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-material-search/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-md-to-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedhuashu-md-to-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 10 dangerous shell commandsin 7 files: huashu-douyin-script/install.sh:3 huashu-agent-swarm/scripts/stop_swarm.sh:51 huashu-agent-swarm/references/agent-prompt-template.md:98 and 4 more
- 73 network referencesin 12 files: huashu-slides/references/prompt-templates.md:156 huashu-slides/references/design-principles.md:7 huashu-agent-swarm/scripts/dashboard.py:575 and 9 more
- 2 obfuscation signalsin 2 files: huashu-wechat-image/scripts/generate_image.py:164 huashu-xhs-image/scripts/generate_image.py:146
- 4 instruction override signalsin 2 files: huashu-agent-swarm/references/agent-prompt-template.md:7 huashu-agent-swarm/scripts/agent_loop.sh:50
- 19 executable scriptsin 19 files: huashu-agent-swarm/scripts/agent_loop.sh:1 huashu-agent-swarm/scripts/dashboard.py:1 huashu-agent-swarm/scripts/send_input.sh:1 and 16 more
- 43 references to secretsin 10 files: huashu-douyin-script/scripts/analyze_video.py:36 huashu-wechat-image/scripts/generate_image.py:39 huashu-xhs-image/scripts/generate_image.py:27 and 7 more
- No requests to vote in Hot
Show all 151 signals by file
huashu-agent-swarm/SKILL.md
- Network accessline 63
浏览器打开 http://localhost:8420,可以:
huashu-agent-swarm/references/agent-prompt-template.md
huashu-agent-swarm/scripts/agent_loop.sh
huashu-agent-swarm/scripts/dashboard.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 575
async function fetchStatus() { try { const res = await fetch('/api/status'); - Network accessline 576
try { const res = await fetch('/api/status'); statusData = await res.json(); - Network accessline 577
const res = await fetch('/api/status'); - Network accessline 691
try { const res = await fetch('/api/input', { - Network accessline 692
const res = await fetch('/api/input', { - Network accessline 712
if (!confirm('确定要停止所有agent吗?')) return; try { const res = await fetch('/api/stop', {method: 'POST'}); - Network accessline 713
try { const res = await fetch('/api/stop', {method: 'POST'}); const data = await res.json(); - Network accessline 714
const res = await fetch('/api/stop', {method: 'POST'}); - Network accessline 778
print(f"🐝 蜂群观测台启动") print(f" 项目: {PROJECT_DIR}") print(f" 地址: http://localhost:{PORT}") - Network accessline 779
print(f" 项目: {PROJECT_DIR}") print(f" 地址: http://localhost:{PORT}") print(f" 按 Ctrl+C 停止") - Network accessline 780
print(f" 地址: http://localhost:{PORT}")
huashu-agent-swarm/scripts/send_input.sh
- Executable scriptline 1
#!/bin/bash
huashu-agent-swarm/scripts/setup_project.sh
- Executable scriptline 1
#!/bin/bash
huashu-agent-swarm/scripts/start_swarm.sh
huashu-agent-swarm/scripts/status.sh
- Executable scriptline 1
#!/bin/bash
huashu-agent-swarm/scripts/stop_swarm.sh
huashu-data-pro/scripts/build_pptx.js
- Executable scriptline 1
#!/usr/bin/env node
huashu-data-pro/scripts/html2pptx.js
huashu-data-pro/scripts/read_excel.py
- Executable scriptline 1
#!/usr/bin/env python3
huashu-data-pro/scripts/read_pptx.py
- Executable scriptline 1
#!/usr/bin/env python3
huashu-douyin-script/SKILL.md
- Network accessline 14
- `uv`(Python包管理器) - `yt-dlp`(抖音视频下载,需 `pip install yt-dlp` 或 `brew install yt-dlp`) - `GEMINI_API_KEY` 环境变量(用于Gemini视频分析,从 https://aistudio.google.com/apikey 获取) - Network accessline 15
- `yt-dlp`(抖音视频下载,需 `pip install yt-dlp` 或 `brew install yt-dlp`) - `GEMINI_API_KEY` 环境变量(用于Gemini视频分析,从 https://aistudio.google.com/apikey 获取) - `GEMINI_BASE_URL` 环境变量(可选,自定义API端点如代理/中转,不设置则用官方端点) - Network accessline 16
[Credential-related source omitted] - Access to secretsline 16
[Credential-related source omitted] - Access to secretsline 56
[Credential-related source omitted]
huashu-douyin-script/install.sh
- Executable scriptline 1
#!/bin/bash - Network accessline 2
# douyin-viral-script skill 安装脚本 # 用法:bash <(curl -fsSL https://raw.githubusercontent.com/alchaincyf/Write-Prompt/master/.claude/skills/douyin-viral-script/install.sh) - Dangerous shell operationline 3
# 用法:bash <(curl -fsSL https://raw.githubusercontent.com/alchaincyf/Write-Prompt/master/.claude/skills/douyin-viral-script/install.sh) - Network accessline 3
# 用法:bash <(curl -fsSL https://raw.githubusercontent.com/alchaincyf/Write-Prompt/master/.claude/skills/douyin-viral-script/install.sh) - Network accessline 24
check_dep git "https://git-scm.com" check_dep uv "curl -LsSf https://astral.sh/uv/install.sh | sh" - Dangerous shell operationline 25
check_dep uv "curl -LsSf https://astral.sh/uv/install.sh | sh" - Network accessline 25
check_dep uv "curl -LsSf https://astral.sh/uv/install.sh | sh" - Dangerous shell operationline 38
trap "rm -rf $TMPDIR" EXIT - Network accessline 41
cd "$TMPDIR" git init -q git remote add origin "https://github.com/$REPO.git" - Network accessline 42
git init -q git remote add origin "https://github.com/$REPO.git" git config core.sparseCheckout true - Network accessline 43
git remote add origin "https://github.com/$REPO.git" - Access to secretsline 62
[Credential-related source omitted]
huashu-douyin-script/scripts/analyze_video.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 11
Usage: uv run analyze_video.py --video "video.mp4" --prompt "summarize this video" uv run analyze_video.py --video "https://youtube.com/watch?v=ID" --prompt "describe key moments" - Network accessline 12
uv run analyze_video.py --video "video.mp4" --prompt "summarize this video" uv run analyze_video.py --video "https://youtube.com/watch?v=ID" --prompt "describe key moments" uv run analyze_video.py --video "video.mp4" --prompt "gener - Network accessline 13
uv run analyze_video.py --video "https://youtube.com/watch?v=ID" --prompt "describe key moments" - Access to secretsline 36
[Credential-related source omitted] - Access to secretsline 39
[Credential-related source omitted] - Access to secretsline 109
[Credential-related source omitted] - Access to secretsline 114
[Credential-related source omitted] - Access to secretsline 115
[Credential-related source omitted] - Access to secretsline 116
[Credential-related source omitted] - Access to secretsline 123
[Credential-related source omitted] - Access to secretsline 125
[Credential-related source omitted] - Access to secretsline 127
[Credential-related source omitted]
huashu-douyin-script/scripts/download_douyin.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 12
Usage: uv run download_douyin.py --urls "https://v.douyin.com/xxx" "https://www.douyin.com/video/123" - Network accessline 13
uv run download_douyin.py --urls "https://v.douyin.com/xxx" "https://www.douyin.com/video/123" - Network accessline 14
uv run download_douyin.py --urls "7.56 复制打开抖音,看看【某某的作品】 https://v.douyin.com/xxx" - Access to secretsline 33
[Credential-related source omitted] - Access to secretsline 34
[Credential-related source omitted] - Access to secretsline 68
[Credential-related source omitted] - Access to secretsline 75
[Credential-related source omitted] - Access to secretsline 136
[Credential-related source omitted] - Network accessline 145
print("错误:未从输入中提取到有效的抖音URL", file=sys.stderr) print("支持的格式:", file=sys.stderr) print(" - https://v.douyin.com/xxx(短链)", file=sys.stderr) - Network accessline 146
print("支持的格式:", file=sys.stderr) print(" - https://v.douyin.com/xxx(短链)", file=sys.stderr) print(" - https://www.douyin.com/video/123(页面链接)", file=sys.stderr) - Network accessline 147
print(" - https://v.douyin.com/xxx(短链)", file=sys.stderr) - Network accessline 148
print(" - https://www.douyin.com/video/123(页面链接)", file=sys.stderr) - Access to secretsline 164
[Credential-related source omitted] - Access to secretsline 170
[Credential-related source omitted] - Access to secretsline 184
[Credential-related source omitted]
huashu-image-upload/SKILL.md
- Network accessline 82
# 处理网络图片(如AI生成的临时链接) python3 /Users/alchain/Documents/写作/tools/upload_image.py "https://example.com/ai-generated.jpg" - Network accessline 83
python3 /Users/alchain/Documents/写作/tools/upload_image.py "https://example.com/ai-generated.jpg" - Network accessline 99
 - Network accessline 118
### 路径规范 - ✅ 网络链接:`https://i.ibb.co/xxxxx/image.jpg`(推荐,永久有效) - Network accessline 119
- ✅ 网络链接:`https://i.ibb.co/xxxxx/image.jpg`(推荐,永久有效) - Network accessline 164

huashu-md-to-pdf/README.md
- Dangerous shell operationline 89
sudo apt-get install libpango-1.0-0 libpangocairo-1.0-0
huashu-md-to-pdf/scripts/convert.py
- Executable scriptline 1
#!/usr/bin/env python3
huashu-skill-updater/SKILL.md
huashu-skill-updater/scripts/check_updates.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 38
if "/" not in repo: repo = f"{OWNER}/{repo}" code, out, _ = run(["git", "ls-remote", f"https://github.com/{repo}.git", "HEAD"]) - Network accessline 39
repo = f"{OWNER}/{repo}" code, out, _ = run(["git", "ls-remote", f"https://github.com/{repo}.git", "HEAD"]) if code == 0 and out: - Network accessline 40
code, out, _ = run(["git", "ls-remote", f"https://github.com/{repo}.git", "HEAD"])
huashu-slides/SKILL.md
huashu-slides/references/design-principles.md
- Network accessline 7
From PLOS Computational Biology: [Ten Simple Rules for Effective Presentation Slides](https://pmc.ncbi.nlm.nih.gov/articles/PMC8638955/) - Network accessline 36
**Source:** [Penn State Assertion-Evidence Research](https://writing.engr.psu.edu/ae_comprehension.pdf) - Network accessline 53
**Sources:** - [InnerDrive: PowerPoint and Cognitive Load](https://www.innerdrive.co.uk/blog/tracking-powerpoint-attention/) - Network accessline 54
- [InnerDrive: PowerPoint and Cognitive Load](https://www.innerdrive.co.uk/blog/tracking-powerpoint-attention/) - Network accessline 55
- [Ethos3: Cognitive Load Theory for Presentations](https://ethos3.com/cognitive-load-theory-explained-for-presentations/) - Network accessline 56
- [Chartered College: CLT for Slideshow Presentations](https://my.chartered.college/impact_article/using-cognitive-load-theory-to-improve-slideshow-presentations/) - Network accessline 109
**Sources:** - [We And The Color: Design Forecast 2026](https://weandthecolor.com/design-forecast-2026-color-palettes-typography-youll-see-first/205925) - Network accessline 110
- [We And The Color: Design Forecast 2026](https://weandthecolor.com/design-forecast-2026-color-palettes-typography-youll-see-first/205925) - Network accessline 111
- [Pitch Deck Studios: Presentation Trends 2025](https://www.pitchdeckstudios.com/presentation-trends-2025-bold-colors-big-fonts-and-breaking-the-mold/) - Network accessline 135
**Sources:** - [Creative Bloq: Typography Trends 2026](https://www.creativebloq.com/design/fonts-typography/breaking-rules-and-bringing-joy-top-typography-trends-for-2026) - Network accessline 136
- [Creative Bloq: Typography Trends 2026](https://www.creativebloq.com/design/fonts-typography/breaking-rules-and-bringing-joy-top-typography-trends-for-2026) - Network accessline 137
- [Fontfabric: Design & Typography Trends 2026](https://www.fontfabric.com/blog/10-design-trends-shaping-the-visual-typographic-landscape-in-2026/) - Network accessline 181
**Source:** [Sabrina Ramonov: Viral PowerPoints](https://www.sabrina.dev/p/viral-powerpoints-slides-free-notebooklm)
huashu-slides/references/prompt-templates.md
- Network accessline 156
**Sources:** - [Google Developers: Gemini Image Generation Prompting](https://developers.googleblog.com/en/how-to-prompt-gemini-2-5-flash-image-generation-for-the-best-results/) - Network accessline 157
- [Google Developers: Gemini Image Generation Prompting](https://developers.googleblog.com/en/how-to-prompt-gemini-2-5-flash-image-generation-for-the-best-results/) - Network accessline 158
- [Google Blog: Image Generation Prompting Tips](https://blog.google/products/gemini/image-generation-prompting-tips/) - Access to secretsline 482
[Credential-related source omitted] - Network accessline 528
**Sources:** - [Google Blog: 8 ways to use Slide Decks in NotebookLM](https://blog.google/technology/google-labs/8-ways-to-make-the-most-out-of-slide-decks-in-notebooklm/) - Network accessline 529
- [Google Blog: 8 ways to use Slide Decks in NotebookLM](https://blog.google/technology/google-labs/8-ways-to-make-the-most-out-of-slide-decks-in-notebooklm/) - Network accessline 530
- [GitHub: awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) - Network accessline 531
- [XDA Developers: 3 NotebookLM prompts for slides](https://www.xda-developers.com/notebooklm-prompts-to-make-presentation-slides/) - Network accessline 535
| Resource | Link | Highlights | |----------|------|-----------| | Superside: 15+ AI Prompts for Presentations | [Link](https://www.superside.com/blog/ai-prompts-presentations) | Full-type templates: business, case study, webinar | - Network accessline 536
|----------|------|-----------| | Superside: 15+ AI Prompts for Presentations | [Link](https://www.superside.com/blog/ai-prompts-presentations) | Full-type templates: business, case study, webinar | | Slidesgo Smart Guide | [Link](https://s - Network accessline 537
| Superside: 15+ AI Prompts for Presentations | [Link](https://www.superside.com/blog/ai-prompts-presentations) | Full-type templates: business, case study, webinar | - Network accessline 538
| Slidesgo Smart Guide | [Link](https://slidesgo.com/slidesgo-school/ai-presentations/best-ai-prompts-presentations-smart-guide) | 8 core templates + prompt methodology | - Network accessline 539
| SlidesAI: 75+ Presentation Prompts | [Link](https://www.slidesai.io/blog/prompts-to-make-presentations-with-ai) | 75+ ready-to-use prompts by scenario | - Network accessline 540
| awesome-notebookLM-prompts | [Link](https://github.com/serenakeyitan/awesome-notebookLM-prompts) | 20+ visual style YAML templates | - Network accessline 541
| Sabrina Ramonov: Viral PowerPoints | [Link](https://www.sabrina.dev/p/viral-powerpoints-slides-free-notebooklm) | 3-tier framework with 14 viral layouts | - Network accessline 542
| Google: Gemini Image Prompting | [Link](https://developers.googleblog.com/en/how-to-prompt-gemini-2-5-flash-image-generation-for-the-best-results/) | 6-element formula for image prompts | - Network accessline 543
| DataCamp: NotebookLM Guide | [Link](https://www.datacamp.com/tutorial/notebooklm) | Full NotebookLM tutorial with slides |
huashu-slides/scripts/create_slides.py
- Executable scriptline 1
#!/usr/bin/env python3
huashu-speech-coach/SKILL.md
huashu-wechat-image/SKILL.md
- Access to secretsline 289
[Credential-related source omitted]
huashu-wechat-image/scripts/generate_image.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 39
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Access to secretsline 78
[Credential-related source omitted] - Access to secretsline 84
[Credential-related source omitted] - Access to secretsline 85
[Credential-related source omitted] - Access to secretsline 89
[Credential-related source omitted] - Access to secretsline 98
[Credential-related source omitted] - Access to secretsline 100
[Credential-related source omitted] - Access to secretsline 102
[Credential-related source omitted] - Possible obfuscationline 164
image_data = base64.b64decode(image_data)
huashu-xhs-image/SKILL.md
- Access to secretsline 178
[Credential-related source omitted]
huashu-xhs-image/scripts/generate_image.py
- Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 27
[Credential-related source omitted] - Access to secretsline 31
[Credential-related source omitted] - Access to secretsline 61
[Credential-related source omitted] - Access to secretsline 67
[Credential-related source omitted] - Access to secretsline 68
[Credential-related source omitted] - Access to secretsline 72
[Credential-related source omitted] - Access to secretsline 81
[Credential-related source omitted] - Access to secretsline 83
[Credential-related source omitted] - Access to secretsline 85
[Credential-related source omitted] - Possible obfuscationline 146
image_data = base64.b64decode(image_data)
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 4 facts
- Contacts git-scm.com, which SKILL.md, the README and the plugin manifest do not mentionhuashu-douyin-script/install.sh:24High confidence
- Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mentionhuashu-douyin-script/install.sh:25High confidence
- Contacts v.douyin.com, which SKILL.md, the README and the plugin manifest do not mentionhuashu-douyin-script/scripts/download_douyin.py:147High confidence
- Contacts www.douyin.com, which SKILL.md, the README and the plugin manifest do not mentionhuashu-douyin-script/scripts/download_douyin.py:148High confidence
Signal confidence: 151 facts
- Network access in prose of the SKILL.mdhuashu-agent-swarm/SKILL.md:63Low confidence
- Instruction override signal in prose of documentationhuashu-agent-swarm/references/agent-prompt-template.md:7Low confidence
- Instruction override signal in prose of documentationhuashu-agent-swarm/references/agent-prompt-template.md:8Low confidence
- Dangerous shell operation in code of documentationhuashu-agent-swarm/references/agent-prompt-template.md:98Low confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/agent_loop.sh:1High confidence
- Instruction override signal in code of a file that runshuashu-agent-swarm/scripts/agent_loop.sh:50Low confidence
- Instruction override signal in code of a file that runshuashu-agent-swarm/scripts/agent_loop.sh:51Low confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:1High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:575High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:576High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:577High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:691High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:692High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:712High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:713High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:714High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:778High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:779High confidence
- Network access in code of a file that runshuashu-agent-swarm/scripts/dashboard.py:780High confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/send_input.sh:1High confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/setup_project.sh:1High confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/start_swarm.sh:1High confidence
- Dangerous shell operation in code of a file that runshuashu-agent-swarm/scripts/start_swarm.sh:21High confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/status.sh:1High confidence
- Executable script in code of a file that runshuashu-agent-swarm/scripts/stop_swarm.sh:1High confidence
- Dangerous shell operation in code of a file that runshuashu-agent-swarm/scripts/stop_swarm.sh:51High confidence
- Dangerous shell operation in code of a file that runshuashu-agent-swarm/scripts/stop_swarm.sh:67High confidence
- Executable script in code of a file that runshuashu-data-pro/scripts/build_pptx.js:1High confidence
- Executable script in a comment of a file that runshuashu-data-pro/scripts/html2pptx.js:1Low confidence
- Dangerous shell operation in code of a file that runshuashu-data-pro/scripts/html2pptx.js:188High confidence
- Executable script in code of a file that runshuashu-data-pro/scripts/read_excel.py:1High confidence
- Executable script in code of a file that runshuashu-data-pro/scripts/read_pptx.py:1High confidence
- Network access in prose of the SKILL.mdhuashu-douyin-script/SKILL.md:14Low confidence
- Network access in prose of the SKILL.mdhuashu-douyin-script/SKILL.md:15Low confidence
- Network access in prose of the SKILL.mdhuashu-douyin-script/SKILL.md:16Low confidence
- Access to secrets in prose of the SKILL.mdhuashu-douyin-script/SKILL.md:16Low confidence
- Access to secrets in prose of the SKILL.mdhuashu-douyin-script/SKILL.md:56Low confidence
- Executable script in code of a file that runshuashu-douyin-script/install.sh:1High confidence
- Network access in a comment of a file that runshuashu-douyin-script/install.sh:2Low confidence
- Dangerous shell operation in a comment of a file that runshuashu-douyin-script/install.sh:3Low confidence
- Network access in a comment of a file that runshuashu-douyin-script/install.sh:3Low confidence
- Network access in code of a file that runshuashu-douyin-script/install.sh:24High confidence
- Dangerous shell operation in code of a file that runshuashu-douyin-script/install.sh:25High confidence
- Network access in code of a file that runshuashu-douyin-script/install.sh:25High confidence
- Dangerous shell operation in code of a file that runshuashu-douyin-script/install.sh:38High confidence
- Network access in code of a file that runshuashu-douyin-script/install.sh:41High confidence
- Network access in code of a file that runshuashu-douyin-script/install.sh:42High confidence
- Network access in code of a file that runshuashu-douyin-script/install.sh:43High confidence
- Access to secrets in code of a file that runshuashu-douyin-script/install.sh:62High confidence
- Executable script in code of a file that runshuashu-douyin-script/scripts/analyze_video.py:1High confidence
and 101 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md huashu-agent-swarm/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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