Parse WeChat Official Account articles to extract metadata, content, and account information.
Works with
Extracts article metadata (title, author, publish time, cover image) and account info (name, avatar, alias) from WeChat URLs and HTML
Supports multiple article types: posts, videos, images, voice messages, text, and reposts
Configurable extraction options for content, raw metadata, repost info, embedded links, and tags
Handles error cases including deleted content, expired links, rate lim
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwechat-article-extractorExecute the skills CLI command in your project's root directory to begin installation:
Fetches wechat-article-extractor from freestylefly/wechat-article-extractor-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate wechat-article-extractor. Access via /wechat-article-extractor in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
6
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Run in your terminal
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this week
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Extract metadata and content from WeChat Official Account (微信公众号) articles.
mp.weixin.qq.com)const { extract } = require('./scripts/extract.js');
const result = await extract('https://mp.weixin.qq.com/s?__biz=...');
// Returns: { done: true, code: 0, data: {...} }
const html = await fetch(url).then(r => r.text());
const result = await extract(html, { url: sourceUrl });
const result = await extract(url, {
shouldReturnContent: true, // Return HTML content (default: true)
shouldReturnRawMeta: false, // Return raw metadata (default: false)
shouldFollowTransferLink: true, // Follow migrated account links (default: true)
shouldExtractMpLinks: false, // Extract embedded mp.weixin links (default: false)
shouldExtractTags: false, // Extract article tags (default: false)
shouldExtractRepostMeta: false // Extract repost source info (default: false)
});
{
done: true,
code: 0,
data: {
// Account info
account_name: "公众号名称",
account_alias: "微信号",
account_avatar: "头像URL",
account_description: "功能介绍",
account_id: "原始ID",
account_biz: "biz参数",
account_biz_number: 1234567890,
account_qr_code: "二维码URL",
// Article info
msg_title: "文章标题",
msg_desc: "文章摘要",
msg_content: "HTML内容",
msg_cover: "封面图URL",
msg_author: "作者",
msg_type: "post", // post|video|image|voice|text|repost
msg_has_copyright: true,
msg_publish_time: Date,
msg_publish_time_str: "2024/01/15 10:30:00",
// Link params
msg_link: "文章链接",
msg_source_url: "阅读原文链接",
msg_sn: "sn参数",
msg_mid: 1234567890,
msg_idx: 1
}
}
{
done: false,
code: 1001,
msg: "无法获取文章信息"
}
| Code | Message | Description |
|---|---|---|
| 1000 | 文章获取失败 | General failure |
| 1001 | 无法获取文章信息 | Missing title or publish time |
| 1002 | 请求失败 | HTTP request failed |
| 1003 | 响应为空 | Empty response |
| 1004 | 访问过于频繁 | Rate limited |
| 1005 | 脚本解析失败 | Script parsing error |
| 1006 | 公众号已迁移 | Account migrated |
| 2001 | 请提供文章内容或链接 | Missing input |
| 2002 | 链接已过期 | Link expired |
| 2003 | 内容涉嫌侵权 | Content removed (copyright) |
| 2004 | 无法获取迁移后的链接 | Migration link failed |
| 2005 | 内容已被发布者删除 | Content deleted by author |
| 2006 | 内容因违规无法查看 | Content blocked |
| 2007 | 内容发送失败 | Failed to send |
| 2008 | 系统出错 | System error |
| 2009 | 不支持的链接 | Unsupported URL |
| 2010 | 内容获取失败 | Content fetch failed |
| 2011 | 涉嫌过度营销 | Marketing/spam content |
| 2012 | 账号已被屏蔽 | Account blocked |
| 2013 | 账号已自主注销 | Account deleted |
| 2014 | 内容被投诉 | Content reported |
| 2015 | 账号处于迁移流程中 | Account migrating |
| 2016 | 冒名侵权 | Impersonation |
Required npm packages:
cheerio - HTML parsingdayjs - Date formattingrequest-promise - HTTP requestsqs - Query string parsinglodash.unescape - HTML entitiesweixin.sogou.com)Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added wechat-article-extractor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: wechat-article-extractor is focused, and the summary matches what you get after install.
wechat-article-extractor reduced setup friction for our internal harness; good balance of opinion and flexibility.
wechat-article-extractor has been reliable in day-to-day use. Documentation quality is above average for community skills.
wechat-article-extractor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
wechat-article-extractor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
wechat-article-extractor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for wechat-article-extractor matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for wechat-article-extractor matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: wechat-article-extractor is focused, and the summary matches what you get after install.
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