Agent skill

Wechat Moments

by OpenClaudia in 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…

MITAuto-check passedProductivity & Automation

Install Wechat Moments

skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill wechat-moments -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install OpenClaudia/openclaudia-skills wechat-moments --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
wechat-moments
GitHub stars
713
Token cost
~1.2k tokens
SKILL.md length
706 words
Files
1
Skills in repo
74
Repo updated
First seen
Licence
MIT

At a glance

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…

  • The user says summarize my Moments
  • SKILL.md covers Before you touch it, Ranking and Output
  • Calls git; reaches github.com
  • What did I miss on Moments

What it does

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.

When your agent uses it

  • The user says summarize my Moments
  • What did I miss on Moments
  • Rank my Moments
  • Check my WeChat Moments

Example prompts

  • “summarize my Moments”
  • “read my 朋友圈”
  • “what did I miss on Moments”
  • “/wechat-moments”

What it can do on your machine

Read from SKILL.md and the folder at commit 28bf209. 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:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 706 words, ~1,199 tokens.

Download SKILL.mdSave it as .claude/skills/wechat-moments/SKILL.md (or your agent's skills folder).
name
wechat-moments
description
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'.

WeChat Moments digest

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

bash
git clone https://github.com/OpenClaudia/wechat-moments.git

Read 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.

Before you touch it

  • It does not decrypt anything and never handles keys. It reads a plaintext database that a separate WeChat export tool has already produced. If the user has no export yet, that is step one and it is not this skill's job — the repo lists existing tools for it.
  • Moments do not sync in the background. WeChat fetches the timeline only while the Moments window is open. Without a sync the export contains only what the user already scrolled past, so the digest is a replay of what they have already seen. Say so rather than presenting stale posts as today's.
  • Tell the user the limits before setting this up on a schedule. It needs WeChat running and logged in, it only stays complete while the machine is awake (sleep gaps are permanently unrecoverable), Tencent may break or patch it at any time, automating the client may be noticed and may carry account risk, and nothing is guaranteed.
  • Never post, like, comment, or message on the user's behalf. Reading and writing files is the whole remit.

Ranking

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.

Show full SKILL.md (269 more words)Show less

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.

Output

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

Files

Just SKILL.md in skills/wechat-moments of OpenClaudia/openclaudia-skills.

Open the folder on GitHubat commit 28bf209

Compare with similar skills

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.

Wechat Moments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wechat Moments this skillOpenClaudia/openclaudia-skills713—~1.2kAutomated safety check: PassMIT
She Love Me863401402/she-love-me9311 repos~1.3kAutomated safety check: PassMIT
Wechat Article Extractorfreestylefly/wechat-article-extractor-skill1361 repos~1kAutomated safety check: PassNone
Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder356—~634Automated safety check: PassMIT
Skill Wechat PublisherZJU-REAL/Easel3.4k—~1.8kAutomated safety check: PassApache-2.0
Wechat Mp Writerth3ee9ine/wechat-claw-skill207—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Wechat Moments

What does Wechat Moments do?

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.

When should I use Wechat Moments?

Wechat Moments fits situations like: the user says summarize my Moments; what did I miss on Moments; rank my Moments; check my WeChat Moments.

How do I install Wechat Moments in Claude Code?

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.

How do I install Wechat Moments in Codex?

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.

Can I use Wechat Moments 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 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.

What does Wechat Moments need to run?

Going by SKILL.md and its folder, Wechat Moments needs the command-line tools its instructions call (git).

Does Wechat Moments access the network?

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.

Is Wechat Moments 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 Wechat Moments use?

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.

How many tokens does Wechat Moments use?

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.

What are the alternatives to Wechat Moments?

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.

Who maintains Wechat Moments?

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.