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…
微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布，到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。
Install Run Wechat Article Loop
$ npx skills add tsingyuai/growth-lab --skill run-wechat-article-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tsingyuai/growth-lab run-wechat-article-loop --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/tsingyuai/growth-lab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/models/run-wechat-article-loop .claude/skills/run-wechat-article-loop && 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 "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .claude/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loopType 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 tsingyuai/growth-lab --skill run-wechat-article-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tsingyuai/growth-lab run-wechat-article-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/models/run-wechat-article-loop .agents/skills/run-wechat-article-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .agents/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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 tsingyuai/growth-lab --skill run-wechat-article-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tsingyuai/growth-lab run-wechat-article-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/models/run-wechat-article-loop .cursor/skills/run-wechat-article-loop && 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 "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .cursor/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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/tsingyuai/growth-lab.git --path models/run-wechat-article-loop--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 tsingyuai/growth-lab --skill run-wechat-article-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tsingyuai/growth-lab run-wechat-article-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/models/run-wechat-article-loop .gemini/skills/run-wechat-article-loop && 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 "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .gemini/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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 tsingyuai/growth-lab run-wechat-article-loopInstalls 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 tsingyuai/growth-lab --skill run-wechat-article-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .github/skills && cp -r skills-src/models/run-wechat-article-loop .github/skills/run-wechat-article-loop && 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 "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .github/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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 tsingyuai/growth-lab --skill run-wechat-article-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tsingyuai/growth-lab run-wechat-article-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/models/run-wechat-article-loop .opencode/skills/run-wechat-article-loop && 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 "run-wechat-article-loop" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/models/run-wechat-article-loop into .opencode/skills/run-wechat-article-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-wechat-article-loop", 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
run-wechat-article-loop- GitHub stars
- 2k
- Token cost
- ~591 tokens
- SKILL.md length
- 122 words
- Files
- 3 (incl. references)
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布，到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。
- Works in 4 steps: 读取 SOUL.md；产品事实不足以支撑本篇时调用… → 读取 memory/run-wechat-article-loop/… → 选题证据可来自：本产品在其他渠道已验证的内容（如… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 这条闭环的目标, ① 观察与选题, ② 创作 and ③ 预览与检查, plus 6 more sections
- Calls make
What it does
Run Wechat Article Loop is an agent skill from tsingyuai/growth-lab. 微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布，到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/result-intake.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. The repository describes itself as: An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the next round of… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Messaging and chat bots
Example prompts
- “/run-wechat-article-loop”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 读取 SOUL.md；产品事实不足以支撑本篇时调用 research-product，只把已确认的增量写回 SOUL.md。
- 读取 memory/run-wechat-article-loop/ 中近期文章、发布状态和复盘，避免重复选题，并沿用已被数据支持的标题/结构规律。
- 选题证据可来自：本产品在其他渠道已验证的内容（如 memory/xhs-replicate/ 的高表现笔记、memory/run-seo-page-loop/ 中有展现的查询）、用户反馈、产品更新，或通过 media-crawler 等 Collector 采集的公开需求证据。
- 产出一句话选题：读者问题 + 本篇给出的方法 + 产品在哪一步出现 + 1-2 篇复刻锚。复刻锚由用户确认。
What it can do on your machine
Read from SKILL.md and the folder at commit 2d0807c. 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
Shell commands in SKILL.md call:
make
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Run Wechat Article Loop loads about 591 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 122 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 passed
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.
SKILL.md
The full file from tsingyuai/growth-lab at commit 2d0807c, republished under its Apache-2.0 licence (© tsingyuai). 122 words, ~591 tokens.
Download SKILL.mdSave it as
.claude/skills/run-wechat-article-loop/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- run-wechat-article-loop
- description
- 微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布，到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。
run-wechat-article-loop — 公众号长文闭环
这条闭环的目标
- 打开（阅读数）= 标题与首屏钩子：让目标读者在订阅列表或转发卡片里想点开。
- 读完与转发（完读、分享、在看）= 完整解释 + 用户价值：一篇只解决一个主问题，每节都给读者可带走的结果。
- 转化（阅读原文、产品入口点击）= 产品能力服务于方法：产品出现在读者需要它的那一步，并有具体 CTA。
诚实边界：公众号打开量主要受订阅基数、推送时段和转发链路影响，单篇内容优化够不到这些结构性上限。没有粉丝基础的新号，先把文章当作可被转发、可被搜一搜收录的长期资产，而不是期望单次推送带量。
依赖缺失时触发统一的 onboard-growth-lab。本 Skill 不自行维护 onboarding。
① 观察与选题 → ② 创作 → ③ 预览与检查 → ④ 草稿同步 → ⑤ 受控发布 → ⑥ 结果回收与复盘① 观察与选题
- 读取
SOUL.md；产品事实不足以支撑本篇时调用 research-product，只把已确认的增量写回SOUL.md。 - 读取
memory/run-wechat-article-loop/中近期文章、发布状态和复盘，避免重复选题，并沿用已被数据支持的标题/结构规律。 - 选题证据可来自：本产品在其他渠道已验证的内容（如
memory/xhs-replicate/的高表现笔记、memory/run-seo-page-loop/中有展现的查询）、用户反馈、产品更新，或通过 media-crawler 等 Collector 采集的公开需求证据。 - 产出一句话选题：读者问题 + 本篇给出的方法 + 产品在哪一步出现 + 1-2 篇复刻锚。复刻锚由用户确认。
② 创作
按 wechat-article-compose 执行，生产单元放在 memory/run-wechat-article-loop/outputs/<YYYYMMDD-slug>/。source-review.md 经用户确认后才写正文。
③ 预览与检查
按 wechat-mp-publish 第 1 步运行 make wechat-preview 与 make wechat-render，用真实浏览器查看 preview.html；make wechat-lint 未通过时回到 ② 修改。
④ 草稿同步（默认终点）
按 wechat-mp-publish 第 2 步创建草稿，本机直连或远程服务二选一。缺少凭据、IP 白名单或接口权限时，交付完整发布包（preview.html、article.html、cover.png、assets/、wechat.yml 中的标题与摘要）走人类协作发布。
⑤ 受控发布
只有用户明确要求自动发布，且三重确认齐备时才执行 wechat-mp-publish 第 3 步。否则停在草稿，请用户在后台发布后回传文章 URL 与发布时间，写入 publish-state.json。
⑥ 结果回收与复盘
用户说“看看公众号数据”“这批复盘一下”或主动提供数据时，执行 结果回收与复盘。不自动触发回收，不自动修改方法。
保留的人工反馈点
- 选题与复刻锚确认。
source-review.md确认。- 公众号后台草稿预览。
- 是否发布（
publish.approved只由用户改）。
不做
- 不产出小红书卡片，不复用小红书站外导流规则。
- 不批量发布、不删除已发布文章、不跳过草稿预览。
- 不让 AI 伪造产品 UI，不写
SOUL.md之外无法验证的产品能力。
Growth Lab Memory 接入
- 每篇文章的生产单元（brief、正文、配置、自检、预览、
publish-state.json）放在memory/run-wechat-article-loop/outputs/<YYYYMMDD-slug>/。 - 发布后的阅读与转化数据按月写入
memory/run-wechat-article-loop/publish-log/YYYY-MM.md。 - 复盘结论、下一步选题建议写入带日期的 Memory 文件，并链接对应生产单元。
- 方法改进直接修改本 Model 或对应 Executor，不写进 Memory。
© tsingyuai, Apache-2.0. 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 2 other files (references) in models/run-wechat-article-loop of tsingyuai/growth-lab.
- SKILL.md
- agents/openai.yaml
- references/result-intake.md
Open the folder on GitHubat commit 2d0807c
Compare with similar skills
Run Wechat Article Loop 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 |
|---|---|---|---|---|---|---|
| Run Wechat Article Loop this skilltsingyuai/growth-lab | 2k | — | ~591 | Automated safety check: Pass | Apache-2.0 | |
| 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 |
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Related
Works with
Categories
Questions about Run Wechat Article Loop
What does Run Wechat Article Loop do?
微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布，到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。. Run Wechat Article Loop is an agent skill from tsingyuai/growth-lab.
When should I use Run Wechat Article Loop?
Run Wechat Article Loop fits situations like: tasks that involve Messaging and chat bots.
How do I install Run Wechat Article Loop in Claude Code?
Run `npx skills add tsingyuai/growth-lab --skill run-wechat-article-loop -a claude-code`. Or copy the skill folder (models/run-wechat-article-loop in tsingyuai/growth-lab) into .claude/skills/run-wechat-article-loop in your project. Claude Code loads it when a task matches its description.
How do I install Run Wechat Article Loop in Codex?
Run `npx skills add tsingyuai/growth-lab --skill run-wechat-article-loop -a codex`. Or copy the skill folder (models/run-wechat-article-loop in tsingyuai/growth-lab) into .agents/skills/run-wechat-article-loop in your project. Codex loads it when a task matches its description.
Can I use Run Wechat Article Loop 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 tsingyuai/growth-lab --skill run-wechat-article-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-wechat-article-loop, .gemini/skills/run-wechat-article-loop, .github/skills/run-wechat-article-loop and .opencode/skills/run-wechat-article-loop in your project.
What does Run Wechat Article Loop need to run?
Going by SKILL.md and its folder, Run Wechat Article Loop needs the command-line tools its instructions call (make).
Does Run Wechat Article Loop access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Run Wechat Article Loop safe to install?
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.
What licence does Run Wechat Article Loop use?
Run Wechat Article Loop is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Run Wechat Article Loop use?
About 591 tokens (SKILL.md is roughly 2.4k 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 717 tokens, read only when the agent opens those files.
What are the alternatives to Run Wechat Article Loop?
Skills that share tags, products or a category with Run Wechat Article Loop: 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.
Who maintains Run Wechat Article Loop?
tsingyuai (a GitHub organization) maintains it in tsingyuai/growth-lab, which has 1,995 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 28, 2026.
Source: tsingyuai/growth-lab on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.