ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

Wechat Auto Publishing

Skill by 16miku

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/16miku/wechat-auto-publishing
Or

name: wechat-auto-publishing-complete description: Use this skill to fully reproduce and operate a local end-to-end WeChat Official Account publishing workflow: prepare the environment, validate dependencies, configure non-sensitive placeholders for credentials, gather source material, draft articles, prepare cover and body images, assemble a WeChat-ready Markdown package, publish to draft, optionally submit for formal publication, poll status, archive outputs, and attach scheduling or alerting. Use whenever the user wants a complete reproducible公众号自动发文 skill with environment setup, templates, runbooks, and execution scaffolding, while keeping all secrets and personal account details outside the skill package. Key real-world findings: freepublish does not always behave like manual platform publishing for homepage visibility, production mode should often default to draft-only, image files must be validated by real format rather than extension alone, and multi-account deployments should use isolated directories.

WeChat Auto Publishing Complete

Use this skill to reproduce, document, and operate a complete local WeChat Official Account auto-publishing workflow without embedding any secrets, private account details, or personal identifiers in the skill package.

This skill is intentionally broader than a minimal workflow note. It includes the operational context needed to reproduce the workflow on a fresh machine, while still keeping all sensitive values external.

Core outcome

The desired end state is a reusable local workflow that can do the following:

  1. prepare the environment on a new machine
  2. gather the day’s source material
  3. determine the article angle
  4. draft the article in a target style
  5. prepare cover.png, image1.jpg, and image2.jpg
  6. assemble a publishable Markdown package
  7. publish to the WeChat draft box
  8. optionally complete formal publication
  9. archive outputs and execution results
  10. optionally attach scheduling and alerting

Required safety rule

Never store real private values in this skill package.

Do not include:

  • real WECHAT_APP_ID
  • real WECHAT_APP_SECRET
  • real GOOGLE_API_KEY
  • any real cookies, tokens, session secrets, API keys, or private IDs
  • user-specific公众号 identifiers unless the user explicitly asks for them to be hard-coded
  • any private filesystem paths that reveal personal context unless rewritten as placeholders

When documenting configuration, only include:

  • variable names
  • placeholder values
  • lookup order
  • validation methods
  • safe example file structures

Skill structure

Read the bundled references depending on what the user is trying to accomplish:

Metadata

Author@16miku
Stars4473
Views0
Updated2026-05-01
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-16miku-wechat-auto-publishing": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

Related Skills

image-downloader

当用户需要按关键词批量下载图片、从 Bing 或多个图片来源收集候选、保存图片到本地目录、避免重复下载,或希望复用当前仓库里的现成图片下载流程时使用。遇到类似“帮我按关键词下载 10 张图片”“批量抓取 Bing 图片并保存到本地”“从多个来源收集图片候选再下载”“需要下载摘要和保存目录”这类请求时,应主动使用这个 skill。

16miku 4473

auto-remotion

从已有录屏/产品演示视频生成官网宣传片的工作流。 当用户提到以下场景时触发: - "把录屏转成宣传片"、"用录屏做产品视频" - "把演示视频做成官网介绍" - "Remotion 切片"、"视频分镜" - "产品宣传视频生成"、"screen recording to promo video" - "多个视频合并成宣传片"、"产品视频剪辑" - 用户想用 Remotion 把长视频切成短片段做宣传片 本技能覆盖从原始录屏素材到完整 Remotion 宣传片的完整流程: 环境准备 → 目标确认 → 素材识别(人工/自动)→ 分镜策划 → 结构化规格 → Remotion 实现 → 字幕轨 → 中文配音(edge-tts)→ BGM → 渲染出片 每个阶段都有具体检查清单、常见问题和决策框架。 **本 skill 不适用的情况**(见"不适用场景"章节): - 从技术文档/幻灯片生成视频(无源视频素材) - 需要 AI 生成视频画面本身(仅处理已有素材的剪辑组合)

16miku 4473

arxiv-paper-writer

Use this skill whenever the user wants Claude Code to write, scaffold, compile, debug, or review an arXiv-style academic paper, especially survey papers with LaTeX, BibTeX citations, TikZ figures, tables, and PDF output. This skill should trigger for requests like writing a full paper, creating an arXiv paper project, turning a research topic into a LaTeX manuscript, reproducing the Paper-Write-Skill-Test agent-survey workflow, or setting up a Windows/Linux Claude Code paper-writing loop.

16miku 4473

Mapping-Skill

AI/ML 人才搜索、论文作者发现、实验室成员爬取、GitHub 研究者挖掘与个性化招聘邮件生成 skill。只要用户提到查找 AI/ML PhD、研究员、工程师,抓取实验室成员、OpenReview/CVF 会议作者、GitHub 网络研究者,提取主页/Scholar/GitHub/邮箱/研究方向,识别华人、分类去重,或把结果导入飞书多维表格并批量生成邮件,就应该优先使用这个 skill;即使用户没有明确说“使用 Mapping-Skill”,只要任务属于这些复合工作流,也应触发。

16miku 4473

brightdata-research

Use when the user asks to batch-search candidates, verify public web evidence, dedupe results, and organize them into Feishu/Lark docs. Use especially for requests like "继续搜更多并追加到飞书", "帮我批量找一批候选并整理到飞书", "搜索+抓取+汇总+落文档/落表", "帮我调研一批XX平台", "扩展候选池", even if the user does not explicitly name this skill. Also use when the user says "检查飞书文档里有没有重复" or "去重" in the context of a research document — this skill covers dedup-and-cleanup as a sub-workflow. Do NOT use for: single-page summaries, one-off Q&A, pure code tasks, or tasks that don't involve batch research + structured output.

16miku 4473