She Love Me
863401402/she-love-me
Acquire, import, and analyze WeChat or QQ chat histories, including installing supported exporters, guiding required login or contact selection, converting exports, assessing relationship dynamics…
Publish and download WeChat Public Platform content and Baijiahao articles via a local CLI.
$ npx skills add ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-chen2050/obsidian-wechat-public-platform wechat-public-cli --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/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill .claude/skills/wechat-public-cli && 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 "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .claude/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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/ai-chen2050/obsidian-wechat-public-platform/tree/master/skillType 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 ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-chen2050/obsidian-wechat-public-platform wechat-public-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill .agents/skills/wechat-public-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .agents/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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 ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-chen2050/obsidian-wechat-public-platform wechat-public-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill .cursor/skills/wechat-public-cli && 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 "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .cursor/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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/ai-chen2050/obsidian-wechat-public-platform.git --path skill--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 ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-chen2050/obsidian-wechat-public-platform wechat-public-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill .gemini/skills/wechat-public-cli && 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 "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .gemini/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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 ai-chen2050/obsidian-wechat-public-platform wechat-public-cliInstalls 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 ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill .github/skills/wechat-public-cli && 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 "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .github/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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 ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-chen2050/obsidian-wechat-public-platform wechat-public-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-chen2050/obsidian-wechat-public-platform.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill .opencode/skills/wechat-public-cli && 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 "wechat-public-cli" agent skill from https://github.com/ai-chen2050/obsidian-wechat-public-platform/tree/master/skill into .opencode/skills/wechat-public-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-public-cli", 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.
wechat-public-cliPublish and download WeChat Public Platform content and Baijiahao articles via a local CLI.
Wechat Public CLI is an agent skill from ai-chen2050/obsidian-wechat-public-platform. Publish and download WeChat Public Platform content and Baijiahao articles via a local CLI.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `test.md` and `wechat-public.config.json`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. The repository describes itself as: Obsidian Wechat public Plugin (微信公众平台) is a plugin to release article from your Obsidian Vault to WeChat, Baidu baiJiahao or other platforms. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6036e42. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npmgitnpxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
image.pngFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
WECHAT_SECRETWECHAT_ACCESS_TOKENBJH_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Wechat Public CLI loads about 1.6k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 346 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.
The automated check found no risky patterns in SKILL.md.
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); files beside SKILL.md are not scanned.
The full file from ai-chen2050/obsidian-wechat-public-platform at commit 6036e42, republished under its MIT licence (© ai-chen2050). 346 words, ~1,623 tokens.
.claude/skills/wechat-public-cli/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Publish an Obsidian markdown article to WeChat Public Platform or Baidu Baijiahao using a local CLI.
title: "Test" author: Blake digest: Short summary banner: "https://image.png"
git clone https://github.com/ai-chen2050/obsidian-wechat-public-platform.git
cd obsidian-wechat-public-platform
npm install
Or by clawdhub
claw install wechat-public-cliOr install globally via npm:
npm install -g wechat-public-cliIf this CLI is published to npm, you can run it via npx without cloning:
npx wechat-public-cli wechat:draft --file /path/to/article.mdCreate a JSON file in the repo root named wechat-public.config.json:
{
"wechat": {
"appid": "YOUR_APP_ID",
"secret": "YOUR_APP_SECRET",
"accessToken": ""
},
"baidu": {
"cookie": "YOUR_BJH_COOKIE",
"token": "YOUR_BJH_TOKEN",
"appId": "YOUR_BJH_APP_ID"
},
"paths": {
"customCss": "./custom.css",
"downloadDir": "./wechat-downloads"
}
}Env override:
WECHAT_APPID, WECHAT_SECRET, WECHAT_ACCESS_TOKENBJH_COOKIE, BJH_TOKEN, BJH_APP_IDWECHAT_CUSTOM_CSS, WECHAT_PUBLIC_CONFIGWECHAT_DOWNLOAD_DIRnpm run build:cliwechat-public-cli wechat:draft --file /path/to/article.md
# 使用自定义 CSS
wechat-public-cli wechat:draft --file /path/to/article.md --css /path/to/tech.csswechat-public-cli wechat:publish --file /path/to/article.md
# 使用自定义 CSS
wechat-public-cli wechat:publish --file /path/to/article.md --css /path/to/business.csswechat-public-cli wechat:publish --media-id YOUR_MEDIA_IDwechat-public-cli wechat:sendall --file /path/to/article.mdwechat-public-cli bjh:publish --file /path/to/article.md
# 使用自定义 CSS
wechat-public-cli bjh:publish --file /path/to/article.md --css /path/to/custom.csswechat-public-cli convert --file /path/to/article.md --platform wechat
# 使用自定义 CSS
wechat-public-cli convert --file /path/to/article.md --platform wechat --css /path/to/style.csswechat-public-cli wechat:download --count 10 --out-dir ./wechat-downloads# 查询最近7天(默认)
wechat-public-cli wechat:stats:cumulate
# 指定日期范围(最多30天)
wechat-public-cli wechat:stats:cumulate --begin-date 2025-11-01 --end-date 2025-11-07# 查询最近7天(默认)
wechat-public-cli wechat:stats:bizsummary
# 指定日期范围(最多30天)
wechat-public-cli wechat:stats:bizsummary --begin-date 2025-11-01 --end-date 2025-11-07所有发布命令都支持通过 --css 参数指定自定义样式文件:
# 使用技术类文章样式
wechat-public-cli wechat:draft --file tech-article.md --css ./styles/tech.css
# 使用营销类文章样式
wechat-public-cli wechat:publish --file marketing.md --css ./styles/marketing.css
# 使用教程类文章样式
wechat-public-cli bjh:publish --file tutorial.md --css ./styles/tutorial.css你可以通过定义和修改 CSS 文件,来调整发布到微信公众号的文章样式。支持为不同类型的文章使用不同的样式文件。
--css (最高优先级)wechat-public.config.json 中的 paths.customCsscustom.css在项目根目录创建 custom.css,不传任何参数时自动使用:
wechat-public-cli wechat:publish --file article.md创建多个 CSS 文件,通过 --css 参数指定:
# 技术类文章使用 tech.css
wechat-public-cli wechat:publish --file tech-article.md --css ./styles/tech.css
# 商业类文章使用 business.css
wechat-public-cli wechat:publish --file business-article.md --css ./styles/business.css
# 教程类文章使用 tutorial.css
wechat-public-cli wechat:publish --file tutorial.md --css ./styles/tutorial.css在 wechat-public.config.json 的 paths.customCss 字段指定默认样式文件路径:
{
"paths": {
"customCss": "./styles/default.css"
}
}这样不传 --css 参数时,会使用配置文件中指定的样式。
/* tech.css - 技术文章样式 */
.wechat-title {
font-size: 2em;
color: #2c3e50;
font-family: "Monaco", "Consolas", monospace;
}
.wechat-banner {
border-radius: 8px;
}
code {
background-color: #f4f4f4;
padding: 2px 4px;
}
/* business.css - 商业文章样式 */
.wechat-title {
font-size: 2.2em;
color: #c7254e;
font-family: "Arial", "Helvetica", sans-serif;
}AI 也可通过自动生成或修改 CSS 文件,实现对公众号内容格式的智能优化。
thumb_media_id or banner/banner_path in frontmatter.banner or banner_path in frontmatter.wechat:download saves recent articles in update_time order and writes all news_item entries.wechat:stats:cumulate / wechat:stats:bizsummary must be called server-side; the date range can be at most 30 days. Results are printed as JSON to stdout.© ai-chen2050, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files in skill of ai-chen2050/obsidian-wechat-public-platform.
Open the folder on GitHubat commit 6036e42
Wechat Public CLI 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 |
|---|---|---|---|---|---|---|
| Wechat Public CLI this skillai-chen2050/obsidian-wechat-public-platform | 149 | — | ~1.6k | Automated safety check: Pass | MIT | |
| She Love Me863401402/she-love-me | 919 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Wechat Article Extractorfreestylefly/wechat-article-extractor-skill | 136 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder | 355 | — | ~634 | Automated safety check: Pass | MIT | |
| Skill Wechat PublisherZJU-REAL/Easel | 3.2k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Wechat Mp Writerth3ee9ine/wechat-claw-skill | 206 | — | ~1.4k | Automated safety check: Pass | MIT |
863401402/she-love-me
Acquire, import, and analyze WeChat or QQ chat histories, including installing supported exporters, guiding required login or contact selection, converting exports, assessing relationship dynamics…
freestylefly/wechat-article-extractor-skill
Extract metadata and content from WeChat Official Account articles.
chenjin-cmd/wechat-miniprogram-builder
This skill should be used when the user wants to build, launch, monetize, or promote a WeChat mini-program with AI (vibe coding) — including topic selection, account registration & ICP filing…
ZJU-REAL/Easel
微信公众号文章自动创作与发布工具。给定参考文章、文字或文档,自动搜索整理全网相关信息、生成图文并茂的公众号文章,并发布到微信公众号草稿箱。特别强调反 AI 检测写作。
th3ee9ine/wechat-claw-skill
微信公众号文章全自动写作与发布。从信息搜集、AI配图规划、报刊级 HTML 排版、到草稿创建和发布的完整流程。适用于 AI 日报、财经周报、深度分析、新闻资讯类文章。内置多种模板,并提供本地渲染、校验、图片规划和发布流水线脚本。
joeseesun/qiaomu-wx-video
Qiaomu skill and workflow for downloading a WeChat Channels / 视频号 video or generated live replay when the user provides a weixin.qq.com/sph share link.
Works with
Categories
Publish and download WeChat Public Platform content and Baijiahao articles via a local CLI. Wechat Public CLI is an agent skill from ai-chen2050/obsidian-wechat-public-platform. Publish and download WeChat Public Platform content and Baijiahao articles via a local CLI.
Wechat Public CLI fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a claude-code`. Or copy the skill folder (skill in ai-chen2050/obsidian-wechat-public-platform) into .claude/skills/wechat-public-cli in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a codex`. Or copy the skill folder (skill in ai-chen2050/obsidian-wechat-public-platform) into .agents/skills/wechat-public-cli in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ai-chen2050/obsidian-wechat-public-platform --skill wechat-public-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-public-cli, .gemini/skills/wechat-public-cli, .github/skills/wechat-public-cli and .opencode/skills/wechat-public-cli in your project.
Going by SKILL.md and its folder, Wechat Public CLI needs the command-line tools its instructions call (npm, git and npx) and credentials named WECHAT_SECRET, WECHAT_ACCESS_TOKEN and BJH_TOKEN. Our summary lists: Node.js; A credential in YOUR_APP_SECRET; A credential in YOUR_BJH_TOKEN.
SKILL.md names 1 domain. As links in the text: image.png. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Wechat Public CLI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Wechat Public CLI: She Love Me (863401402/she-love-me, 919 stars), Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars), Wechat Miniprogram Builder (chenjin-cmd/wechat-miniprogram-builder, 355 stars) and Skill Wechat Publisher (ZJU-REAL/Easel, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ai-chen2050 (a GitHub user) maintains it in ai-chen2050/obsidian-wechat-public-platform, which has 149 GitHub stars. The repository was last updated on April 28, 2026.
Source: ai-chen2050/obsidian-wechat-public-platform on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.