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AI全链路内容工坊

v1.0.0

AI全链路内容工坊 — 多平台内容一键创作与发布自动化工作流,涵盖选题研究、文章撰写、知识卡片生成、全平台发布。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zlszhonglongshen/ai-content-studio.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI全链路内容工坊" (zlszhonglongshen/ai-content-studio) from ClawHub.
Skill page: https://clawhub.ai/zlszhonglongshen/ai-content-studio
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-content-studio

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-content-studio
Security Scan
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Purpose & Capability
Name/description match the actions described (topic research, article writing, card rendering, multi-platform publish). Declared dependencies (agent-reach, summarize, wechat-article-pro, card-renderer, xiaohongshutools) are appropriate for the stated functionality. Minor mismatch: workflow.json includes 'github' as a search platform while SKILL.md and other docs focus on web/xiaohongshu/weibo/rss — not harmful but inconsistent.
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Instruction Scope
SKILL.md instructs running local commands such as 'python3 scripts/render_cyber_card.py' and references scripts/ files, but the skill bundle contains no such scripts or binaries — the instructions therefore reference artifacts that do not exist in this package. The instructions also direct network searches and automated publishing to external platforms (WeChat, 小红书) — expected for this skill but high-impact actions (publishing) mean credentials and publishing behavior must be tightly controlled. The SKILL.md asks the agent to '自动聚合点赞/收藏/评论数据' and '自动联网搜索最新信息' which implies broad external access; this is consistent with purpose but expands the agent's network surface.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written to disk by the skill package itself.
Credentials
The skill itself does not request environment variables or credentials, which is consistent because it delegates platform access to other skills. However SKILL.md explicitly says first-time configuration requires platform API credentials (agent-reach, xiaohongshutools, WeChat backend authorization). That means sensitive credentials will be required at runtime by other skills — the package does not document what exact secrets are needed or where they are stored, which is an information-gap the user should address.
Persistence & Privilege
always:false (no forced persistence). The skill can be invoked autonomously (platform default) and, if allowed, will perform publishing steps; that combination (autonomous invocation + publish actions via other skills) increases risk if credentials are granted broadly. The workflow.json marks human review as recommended for publishing steps, which mitigates but does not eliminate the risk.
What to consider before installing
This skill appears to do what it advertises (end-to-end content creation and multi-platform publishing) but has two practical issues you should address before use: (1) SKILL.md references local python scripts (scripts/render_cyber_card.py, etc.) that are not included — ask the author where these live or whether the card-renderer skill provides them. (2) The workflow will require API credentials for agent-reach, xiaohongshutools, and WeChat; verify exactly which credentials each underlying skill requests and prefer using test/sandbox accounts. Because the workflow can auto-publish to your accounts, require manual review or limit the agent's publish permission until you've tested it. If you don't trust the upstream skills (agent-reach, xiaohongshutools, wechat-article-pro, card-renderer), do not provide production credentials. Request clearer documentation from the maintainer about required secrets, storage of tokens, and the missing scripts before installing.

Like a lobster shell, security has layers — review code before you run it.

latestvk97548ngdndays16cjm5wmpny584rapx
64downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

AI 全链路内容工坊 (AI Content Studio)

一条命令完成从选题研究 → 深度文章撰写 → 视觉卡片生成 → 多平台发布的完整内容工作流。

核心价值

  • 一键多平台:同时覆盖微信公众号 + 小红书,无需手动切换工具
  • AI 选题研究:自动追踪热点、提取核心观点,告别"不知道写什么"
  • 专业级内容:参考刘润等头部公众号风格撰写 3000-5000 字深度文章
  • 视觉化传播:自动生成多风格知识卡片,提升小红书笔记吸引力

适用场景

  • 内容创作者需要高效产出双平台内容
  • 品牌运营需要保持公众号 + 小红书内容同步更新
  • 个人 IP 打造者希望建立系统化的内容生产流程
  • 企业市场部需要快速生产高质量行业内容

工作流程(5步)

Step 1 → 选题研究(agent-reach + summarize)
   ↓
Step 2 → 撰写公众号深度文章(wechat-article-pro)
   ↓
Step 3 → 生成小红书知识卡片(card-renderer)
   ↓
Step 4 → 生成小红书文案(summarize + AI生成)
   ↓
Step 5 → 发布至双平台(wechat-article-pro + xiaohongshutools)

使用方法

方式一:完整工作流(推荐)

触发词:

  • "帮我创作全平台内容,主题是 XXX"
  • "从选题到发布,帮我做一期内容"
  • "AI内容工作室,主题 XXX"

执行完整流程:选题研究 → 公众号文章 → 知识卡片 → 小红书文案 → 双平台发布

方式二:分步执行

Step 1:选题研究

# 使用 agent-reach 搜索热点
agent-reach search --platform xiaohongshu --query "AI工具 热点"
agent-reach search --platform weibo --query "AI工具 热点"
agent-reach search --platform rss --query "https://rsshub.app/36kr/posts"

Step 2:撰写公众号文章

激活 wechat-article-pro skill,按刘润风格撰写深度文章

Step 3:生成知识卡片

# 使用 card-renderer 生成卡片
python3 scripts/render_cyber_card.py "标题" "副标题" "/tmp/content.md" "/tmp/cards/"
python3 scripts/render_mac_pro_card.py "标题" "副标题" "/tmp/content.md" "/tmp/cards/"

Step 4:发布小红书

激活 xiaohongshutools skill,发布图文内容

技术架构

层级组件职责
数据层agent-reach全网热点追踪,跨平台信息采集
理解层summarize内容提取、智能摘要、观点凝练
内容层wechat-article-pro公众号深度文章撰写与排版
视觉层card-renderer多风格知识卡片批量生成
发布层xiaohongshutools小红书内容发布与互动管理

示例主题

输入:帮我创作全平台内容,主题是"AI Agent 在企业中的落地现状与前景"
输出:
  ✅ 公众号文章(4000字,刘润风格)
  ✅ 小红书知识卡片(3张,赛博朋克风格)
  ✅ 小红书文案(800字,含热门话题标签)
  ✅ 自动发布至公众号 + 小红书

注意事项

  1. 首次使用需配置各平台 API 凭证(agent-reach、xiaohongshutools)
  2. 公众号发布需要微信公众号后台授权
  3. 小红书发布建议配合人工审核,避免误发
  4. 热点追踪建议设置每日定时任务,保持内容新鲜度

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