Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
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。
MITAuto-check: notes
Install Huashu Xhs Image
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-image --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/huashu-xhs-image .claude/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .claude/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-imageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/huashu-xhs-image .agents/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .agents/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/huashu-xhs-image .cursor/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .cursor/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alchaincyf/huashu-skills.git --path huashu-xhs-image--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/huashu-xhs-image .gemini/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .gemini/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-imageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/huashu-xhs-image .github/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .github/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alchaincyf/huashu-skills huashu-xhs-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/huashu-xhs-image .opencode/skills/huashu-xhs-image && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "huashu-xhs-image" agent skill from https://github.com/alchaincyf/huashu-skills/tree/master/huashu-xhs-image into .opencode/skills/huashu-xhs-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-xhs-image", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
huashu-xhs-image- GitHub stars
- 1.7k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 374 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Works in 5 steps: 理解内容 → 设计提案 ✅ 必须等用户选择 → 生成图片 → …
- SKILL.md covers ⚠️ 核心原则：先提案，后生成, 花叔设计审美画像, 核心参数 and Step 1: 理解内容, plus 8 more sections
- Runs Python scripts from its folder; calls uv, python3 and npx; needs GEMINI_API_KEY
What it does
Huashu Xhs Image is an agent skill from alchaincyf/huashu-skills. 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。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/design-guidelines.md`, `references/style-gallery.md` and `scripts/generate_image.py`).
It works with Xiaohongshu. The repository describes itself as: 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. The licence is MIT.
Example prompts
- “做张小红书图”
- “/huashu-xhs-image”
Requirements
- Python 3
- Node.js
- A credential in GEMINI_API_KEY
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2efea35. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvpython3npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv and npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Huashu Xhs Image loads about 1.5k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 374 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:178
export $(grep GEMINI_API_KEY ~/.claude/.env) && \
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from alchaincyf/huashu-skills at commit 2efea35, republished under its MIT licence (© alchaincyf). 374 words, ~1,502 tokens.
Download SKILL.mdSave it as
.claude/skills/huashu-xhs-image/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- huashu-xhs-image
- description
- 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。
小红书配图工作流
⚠️ 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
喜欢的
- 质感和温度 — 纸张褶皱、手写笔触、印章、胶带等有机元素
- 手绘/书法字体 — 笔记感、个人分享场景尤其适合
- 文字撑满画面 — 小红书是手机竖屏，文字要大到一眼看清
- 核心元素强化 — 关键数字/关键词做视觉hero（放大3倍、变色、加装饰）
- 结构清晰 — 主标题 > 副标题 > 列表，层次分明
- 暖色调 — 奶油色、暖橙、暖金表现好
不喜欢的
- HTML截图 — 太平面、像PPT模板、没有灵魂（仅精确数据表格兜底）
- 赛博霓虹/深蓝底 — #0D1117等深蓝色底属于审美禁区
- 署名/水印 — 封面图不出现「花生」「花叔」「@花生」
- 过度留白 — 宁可满一点，不要空荡荡
验证过的好风格
| 风格 | 表现 | 适用 |
|---|---|---|
| 手绘笔记（暖色纸张+书法字+手绘图标） | ⭐⭐⭐⭐⭐ | 教程、干货、个人分享 |
| 暗金海报（深色底+金色大字） | ⭐⭐⭐⭐ | 产品发布、震撼标题（需搭配好内容） |
| 极简信息图（浅底+大数字+简洁层次） | ⭐⭐⭐⭐ | 数据驱动、对比 |
核心参数
| 参数 | 值 |
|---|---|
| 标准尺寸 | 1080 x 1440 px (3:4) |
| AI 生成分辨率 | --resolution 2K |
| AI Prompt 长宽比声明 | 3:4 portrait aspect ratio, 1080x1440 pixels |
| HTML viewport（兜底用） | --viewport-size=1080,1440 |
Step 1: 理解内容
读取用户提供的内容，快速提炼：
- 主题：这篇讲什么？
- 核心关键词：哪些词/数字需要做视觉hero？
- 情绪/调性：悬念？干货？温暖？震撼？
- 图片数量和类型：单封面 / 轮播套图 / 信息图？
不需要向用户展示分析结果，直接进入Step 2。
Step 2: 设计提案 ✅ 必须等用户选择
这是整个流程最关键的一步。禁止跳过。
提案格式
向用户展示 2-3个设计方向，每个方向包含：
### 方向A：[风格名]
- 视觉风格：[一句话描述画面感，如"暖色笔记本纸张+毛笔书法大字+手绘小图标"]
- 色彩：[底色 + 主色 + 强调色]
- 文案布局：[哪些文字放大做hero、哪些做副标题、整体排列方式]
- 情绪：[用户看到后的第一感受]提案原则
- 每个方向要有明确差异（风格、情绪、色彩至少有一个完全不同）
- 标注推荐（基于内容特征说明为什么推荐某个方向）
- 文案要具体（不是"标题放大"，而是「"28"做200px的hero元素，橙色强调」）
- 不要超过3个方向（选择太多反而难选）
提案示例
方向A：手绘笔记风（推荐）
- 视觉风格：奶油色方格纸底 + 毛笔书法大标题 + 手绘科技小图标
- 色彩：底色#FDF6EC + 主色#D97706（暖橙）+ 强调圈线
- 文案布局：「阿里C4楼」「来了一群广东人」撑满上半区做hero，「AI开源冠军」橙色高亮做视觉锚点，右下角「千问APP」印章
- 情绪：亲切、真实、像朋友分享内幕
方向B：暗金揭秘风
- 视觉风格：深色磨砂底 + 金色大字 + 徽章装饰
- 色彩：底色#1A1A1A + 主色#E2B714（金）+ 白色辅助
- 文案布局：「全球AI开源冠军」金色巨字撑满画面，上方「大厂内幕」金色徽章，下方副标题白色
- 情绪：震撼、内幕、有分量感
等用户选择后才进入 Step 3。 用户可能会：
- 直接选一个 → 进入生成
- 要求混合/调整 → 修改方向后再确认
- 都不满意 → 追问偏好后重新提案
Step 3: 生成图片
构建 Prompt
基于用户选择的方向，构建完整prompt。
Prompt 模板：
Create a [style] cover for a Xiaohongshu post. 3:4 portrait aspect ratio, 1080x1440 pixels, high quality rendering.
VISUAL STYLE: [从提案中的视觉风格描述展开]
COLOR PALETTE: [具体色彩描述]
TYPOGRAPHY: text fills most of the canvas, oversized bold typography, clear visual hierarchy.
TEXT TO RENDER:
- [主标题 — hero元素，视觉dominant]
- [副标题]
- [其他文字元素]
The word/number "[核心关键词]" is visually dominant, 3x larger than other text, with decorative emphasis.
IMPORTANT: Do NOT include any personal signature, watermark, or author name like "花生" or "花叔".
[1-2句画面情绪描述]花叔偏好 Prompt 关键词（按需加入）：
- 文字大 →
text fills most of the canvas, oversized bold typography - 核心强化 →
the word/number "XX" is visually dominant, 3x larger than other text, with decorative emphasis - 手写体 →
handwritten style Chinese text / brush calligraphy lettering - 纸张质感 →
warm cream paper texture with subtle grid lines, notebook page feel - 结构清晰 →
clear visual hierarchy with distinct heading, subheading, and list levels - 无署名 →
Do NOT include any personal signature, watermark, or author name
两条生成路径（每次都出）
| 路径 | 工具 | 优势 | 劣势 | 成本 |
|---|---|---|---|---|
| AI生成 | Gemini nano-banana-pro | 质感好、有温度、视觉丰富 | 中文可能渲染错误 | 有API费用 |
| HTML截图 | Playwright | 文字100%精确、零成本、可批量 | 偏平面、缺少质感 | 免费 |
每次两条路径都出，方便用户对比选择。 HTML零成本，可以每个方向多出几种变体（配色/布局），给用户更多选择空间。AI路径每个方向出1张即可。
文件组织规范（必遵守）
多版本生成时，所有相关文件（png + html源文件）放在同一个子文件夹内：
文章所在目录/
├── 文章.md
└── [文章简称]-小红书配图/ ← 子文件夹
├── A-笔记风-AI.png
├── A1-笔记风-HTML-暖色.png
├── A1-笔记风-HTML-暖色.html
├── B-报纸风-AI.png
└── ...命名规则：[方向字母][变体序号]-[风格中文名]-[路径AI/HTML]-[变体描述].png
- 方向字母：A/B/C（对应设计提案的方向）
- AI路径无序号：
A-笔记风-AI.png - HTML变体带序号：
A1-笔记风-HTML-暖色.png、A2-笔记风-HTML-绿色.png - 文件夹名用文章关键词：
[关键词]-小红书配图/
Show full SKILL.md (147 more words)Show less
AI生成命令
export $(grep GEMINI_API_KEY ~/.claude/.env) && \
uv run /Users/alchain/Documents/写作/.claude/skills/xhs-image/scripts/generate_image.py \
--prompt "[完整prompt]" \
--filename "[方向]-[风格]-AI.png" \
--resolution 2K生成后移动到配图子文件夹内。套图可并行生成（run_in_background=true）。
Step 4: 预览确认
浏览器预览（必做）
生成完成后，用 open 命令打开所有图片，方便用户并排对比：
open "[图片路径1]" "[图片路径2]" "[图片路径3]"内联预览
同时用 Read 工具在终端中展示生成结果。
基础检查项：
- 中文文字渲染正确吗？
- 比例是3:4竖版吗？
- 风格符合选定方向吗？
- 没有出现署名/水印吗？
设计审查（必做）
对每张图从两个维度评分（10分制），并给出优化方向：
| 维度 | 评判标准 |
|---|---|
| 设计评分 | 视觉层次、排版、色彩搭配、质感、创意 |
| 小红书吸引力 | 信息流中是否抢眼、文字是否够大、信息密度、情绪传达、是否引发好奇 |
审查输出格式：
- 每张图：综合评分 + 1句核心评价 + 1条优化方向
- 最后给出总结排名表，标注推荐
- 用户可自行决定是否采纳优化建议
用户反馈处理：
- 满意 → Step 5 上传
- 文字有误 → 该张改用HTML兜底渲染
- 风格不对 → 调整prompt重新生成
- 大改方向 → 回到Step 2重新提案
Step 5: 上传图床
python3 /Users/alchain/Documents/写作/tools/upload_image.py "[图片路径]"返回 ImgBB 永久链接。
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）
npx playwright screenshot "file:///path/to/card.html" output.png \
--viewport-size=1080,1440 --wait-for-timeout=1000HTML模板要求：
- 画布：
width: 1080px; height: 1440px - 字体：
font-family: "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", sans-serif - 安全区：上下各 80px、左右各 60px
快速参考
中文文字渲染限制（AI路径）
- 主标题 ≤ 7 字
- 副标题 ≤ 15 字
- 正文每行 ≤ 20 字
- 必须逐张验证
花叔科技账号配色
| 方案名 | 底色 | 主色 | 强调色 | 适用 |
|---|---|---|---|---|
| 暖灰专业 | #F5F0EB | #D97706 | #4A90D9 | AI工具、分享 |
| 极简专业 | #F5F5F5 | #4A90D9 | #FF6B35 | 教程、对比 |
| 暗夜金 | #1A1A2E | #E2B714 | #FFFFFF | 产品发布 |
| 终端绿 | #1A1A1A | #00FF41 | #888888 | 编程相关 |
Golden Rules
- 标题大、粗、醒目（占画面 30-50%）
- 核心数字/关键词做视觉强化（放大、变色、加装饰）
- 封面信息量大 → 引发好奇
- 套图风格统一
- 竖版 3:4，充分利用屏幕空间
- 不加署名/水印
相关 Skills
| Skill | 作用 |
|---|---|
wechat-image | 公众号配图（姊妹 skill） |
image-to-slides | PPT 配图（风格库来源） |
参考文件
references/style-gallery.md— 完整风格库与 prompt 模板references/design-guidelines.md— 小红书平台设计规范
花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作：小猫补光灯（AppStore付费榜Top1）·《一本书玩转DeepSeek》
© alchaincyf, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in huashu-xhs-image of alchaincyf/huashu-skills.
- SKILL.md
- references/design-guidelines.md
- references/style-gallery.md
- scripts/generate_image.py
Open the folder on GitHubat commit 2efea35
Compare with similar skills
Huashu Xhs Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Huashu Xhs Image this skillalchaincyf/huashu-skills | 1.7k | — | ~1.5k | Automated safety check: Notes | MIT | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Yuwen Publish Precheckyuwen-cool/yuwen-publish-precheck | 778 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Xhs Note Creatorcomeonzhj/Auto-Redbook-Skills | 2.3k | — | ~580 | Automated safety check: Notes | None |
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国内自媒体发布前风险自审与保意修复：审口播稿、文章、图文笔记、字幕、封面文字能不能发抖音/小红书/微信视频号，给出具体位置、依据和可直接替换的改稿；被限流/删除/处罚后帮你复盘归因；你的行业敏感词、误报白名单和踩坑案例会沉淀成个人规则库，越用越准。Use when…
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Xhs Note Creator
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小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含：根据用户的需求和提供的资料，撰写小红书笔记内容（标题+正文），生成图片卡片（封面+正文卡片），以及发布小红书笔记。支持 8 种精美排版主题和 4 种智能分页模式。
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Related
Works with
Questions about Huashu Xhs Image
What does Huashu Xhs Image do?
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。. Huashu Xhs Image is an agent skill from alchaincyf/huashu-skills.
How do I install Huashu Xhs Image in Claude Code?
Run `npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a claude-code`. Or copy the skill folder (huashu-xhs-image in alchaincyf/huashu-skills) into .claude/skills/huashu-xhs-image in your project. Claude Code loads it when a task matches its description.
How do I install Huashu Xhs Image in Codex?
Run `npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a codex`. Or copy the skill folder (huashu-xhs-image in alchaincyf/huashu-skills) into .agents/skills/huashu-xhs-image in your project. Codex loads it when a task matches its description.
Can I use Huashu Xhs Image in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alchaincyf/huashu-skills --skill huashu-xhs-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/huashu-xhs-image, .gemini/skills/huashu-xhs-image, .github/skills/huashu-xhs-image and .opencode/skills/huashu-xhs-image in your project.
What does Huashu Xhs Image need to run?
Going by SKILL.md and its folder, Huashu Xhs Image needs Python for the scripts in its folder, the command-line tools its instructions call (uv, python3 and npx) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; Node.js; A credential in GEMINI_API_KEY.
Does Huashu Xhs Image access the network?
SKILL.md contains no URLs. Its commands use uv and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Huashu Xhs Image safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Huashu Xhs Image use?
Huashu Xhs Image is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Huashu Xhs Image use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Huashu Xhs Image?
Skills that share tags, products or a category with Huashu Xhs Image: Agent Reach (Panniantong/Agent-Reach, 95k stars), Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Yuwen Publish Precheck (yuwen-cool/yuwen-publish-precheck, 778 stars) and Video Podcast Maker (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Huashu Xhs Image?
alchaincyf (a GitHub user) maintains it in alchaincyf/huashu-skills, which has 1,695 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 22, 2026.
Source: alchaincyf/huashu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.