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…
Rank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each…
$ npx skills add OpenClaudia/openclaudia-skills --skill wechat-moments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --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/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wechat-moments .claude/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .claude/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-momentsType 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 OpenClaudia/openclaudia-skills --skill wechat-moments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/wechat-moments .agents/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .agents/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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 OpenClaudia/openclaudia-skills --skill wechat-moments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/wechat-moments .cursor/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .cursor/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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/OpenClaudia/openclaudia-skills.git --path skills/wechat-moments--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 OpenClaudia/openclaudia-skills --skill wechat-moments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/wechat-moments .gemini/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .gemini/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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 OpenClaudia/openclaudia-skills wechat-momentsInstalls 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 OpenClaudia/openclaudia-skills --skill wechat-moments -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/wechat-moments .github/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .github/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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 OpenClaudia/openclaudia-skills --skill wechat-moments -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/wechat-moments .opencode/skills/wechat-moments && 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-moments" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/wechat-moments into .opencode/skills/wechat-moments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-moments", 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-momentsRank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each…
Wechat Moments is an agent skill from OpenClaudia/openclaudia-skills. Rank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each author. Use when the user says 'summarize my Moments', 'read my 朋友圈', 'what did I miss on Moments', 'rank my Moments', or 'check my WeChat Moments'.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. The repository describes itself as: 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth. The licence is MIT.
Read from SKILL.md and the folder at commit 28bf209. 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Wechat Moments loads about 1.2k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 706 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 OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 706 words, ~1,199 tokens.
.claude/skills/wechat-moments/SKILL.md (or your agent's skills folder).Turns a WeChat Moments feed into a short ranked digest: what deserves a reply, what is genuinely informative, and what is marketing wearing a personal voice.
The scripts live in a separate repository, not here, because they depend on the WeChat desktop client rather than any marketing API:
https://github.com/OpenClaudia/wechat-moments
git clone https://github.com/OpenClaudia/wechat-moments.gitRead that repo's README before running anything. It documents the setup, the limits, and the risks — this skill is the ranking method, not the plumbing.
This is the part worth carrying to any feed, not just WeChat.
Score = event weight × relationship weight. Do it yourself from the structured records; do not write a scoring script. The point is judgement — "her mother is in hospital" outranks "went to Kyoto".
Event weight (0-10). Birth, death, serious illness, wedding, divorce, emigration at the top. New job, funding, graduation, a home, a pregnancy just below. Travel and opinions in the middle. Food, gym, weather, scenery at the bottom. Promotion and recruiting score zero.
Insight vs. announcement decides most of the digest, because feeds full of founders and creators are full of engagement bait. Real information has at least one of: a number you could check, a mechanism (why it works), a cost the author actually paid, or a changed mind. Adjectives (突破 / 颠覆 / groundbreaking), a milestone with no mechanism, an invitation, an upvote request, or a takeaway generic enough to predate the event are announcements. Prestige is not evidence — a famous venue is still promotion when the payload is one generic sentence. A tiny post can be real insight.
Relationship weight — lead with how much the user SENT. Not total volume: a marketer who broadcasts dozens of pitches and never gets a reply scores identically to a close friend. A reply is a choice; an inbound blast is not. Never-messaged contacts get filtered hard whatever they posted — expect them to be about a third of any day's feed.
A close friend's small post usually beats a stranger's big news, because only one of them is a relationship the user can act on. Ranking on content alone inverts this every time.
Time since last contact is its own signal. Many messages sent but silent for a long time is a lapsed close friend, and a life event from one of those is the most actionable thing a digest can surface.
Promotion wears a personal voice. A discount code, a signup link, an invite-only pitch: the poster is selling, however casual the phrasing.
Urgency is a modifier, never a reason. Never open a digest with a dated section — that structure promotes whatever has a deadline, and deadlines are what promotions have. An expiring ad is still an ad.
Ten items is plenty; fewer is often right, and zero worth reporting is a legitimate result — say so rather than padding. Keep strong ties and weak-tie-but-useful content in separate, clearly labelled sections, so interesting content from a stranger never looks like something to act on. Show the relationship numbers per entry so the ranking is auditable and the user can correct it.
Summarize Chinese posts in Chinese and English posts in English. Say what a post is; never repost it verbatim.
© OpenClaudia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/wechat-moments of OpenClaudia/openclaudia-skills.
Open the folder on GitHubat commit 28bf209
Wechat Moments 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 Moments this skillOpenClaudia/openclaudia-skills | 713 | — | ~1.2k | Automated safety check: Pass | MIT | |
| She Love Me863401402/she-love-me | 931 | 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 | 356 | — | ~634 | Automated safety check: Pass | MIT | |
| Skill Wechat PublisherZJU-REAL/Easel | 3.4k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Wechat Mp Writerth3ee9ine/wechat-claw-skill | 207 | — | ~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.
OpenClaudia/openclaudia-skills
Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with…
OpenClaudia/openclaudia-skills
Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is…
OpenClaudia/openclaudia-skills
Audit EVERY Google Search Console property at once — rank all sites by clicks and impressions with period-over-period deltas, then diff keywords per site to surface what is newly ranking, rising…
OpenClaudia/openclaudia-skills
Fetch website traffic estimates (monthly visits, traffic sources, top countries, keywords, engagement, ranks) for any domain from SimilarWeb.
OpenClaudia/openclaudia-skills
Manages Ahrefs API usage in Python using ahrefs-python library.
OpenClaudia/openclaudia-skills
Design, plan, and analyze A/B tests with statistical rigor. An agent skill from OpenClaudia/openclaudia-skills.
Works with
Categories
Rank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each…. Wechat Moments is an agent skill from OpenClaudia/openclaudia-skills. Rank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each author.
Wechat Moments fits situations like: the user says summarize my Moments; what did I miss on Moments; rank my Moments; check my WeChat Moments.
Run `npx skills add OpenClaudia/openclaudia-skills --skill wechat-moments -a claude-code`. Or copy the skill folder (skills/wechat-moments in OpenClaudia/openclaudia-skills) into .claude/skills/wechat-moments in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenClaudia/openclaudia-skills --skill wechat-moments -a codex`. Or copy the skill folder (skills/wechat-moments in OpenClaudia/openclaudia-skills) into .agents/skills/wechat-moments 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 OpenClaudia/openclaudia-skills --skill wechat-moments -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-moments, .gemini/skills/wechat-moments, .github/skills/wechat-moments and .opencode/skills/wechat-moments in your project.
Going by SKILL.md and its folder, Wechat Moments needs the command-line tools its instructions call (git).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. 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 Moments is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Moments: She Love Me (863401402/she-love-me, 931 stars), Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars), Wechat Miniprogram Builder (chenjin-cmd/wechat-miniprogram-builder, 356 stars) and Skill Wechat Publisher (ZJU-REAL/Easel, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 713 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on September 18, 2026.
Source: OpenClaudia/openclaudia-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.