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wechat-article-search▌

wuchubuzai2018/expert-skills-hub · updated May 8, 2026

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$npx skills add https://github.com/wuchubuzai2018/expert-skills-hub --skill wechat-article-search
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summary

Search WeChat public account articles by keyword with title, summary, publish time, and source information.

  • ›Searches WeChat articles across topics including technology, AI, social trends, finance, education, and workplace content
  • ›Returns article metadata: title, summary, publication date, source public account name, and access links
  • ›Supports optional parameters for result count (up to 50), JSON file output, and real URL resolution for article links
  • ›Requires Node.js with the cheeri
skill.md

微信公众号文章搜索说明

适用场景

  • 用户说“帮我搜某个关键词的公众号文章/最近文章”
  • 需要快速拿到：标题、摘要、发布时间、公众号名称、可访问链接

工作流程

步骤1: 确认已安装依赖包

该脚本依赖NodeJS依赖包 cheerio，建议先执行全局安装或在项目中安装：

npm install -g cheerio

步骤2: 确认搜索词语数量

1、 确认关键词与数量

步骤3: 执行搜索命令

1、执行常规搜索命令

node scripts/search_wechat.js "关键词"

特殊流程（可选）

  1. 执行包含数量限制的搜索命令
node scripts/search_wechat.js "关键词"  -n 15
  1. 如果用户需要保存结果到文件，执行命令
node scripts/search_wechat.js "关键词" -n 20 -o result.json
  1. 若想要获取微信文章域名的真实链接”，执行如下命令
node scripts/search_wechat.js "关键词" -n 5 -r

参数说明

  • query：搜索关键词（必填）
  • -n, --num：返回数量（默认 10，最大 50）
  • -o, --output：输出 JSON 文件路径（可选）
  • -r, --resolve-url：尝试把中间链接解析成微信文章真实链接（会额外请求每条结果）

输出字段（文章对象）

文章标题、文章地址、文章概要、发布时间、来源公众号名称

常见问题处理

  • 结果为空：尝试更换关键词、更少的特殊字符、或稍后重试
  • 解析真实 URL 失败：这是常态（反爬限制）；可提示用户用浏览器打开中间链接

注意事项

  • 本工具仅用于学习和研究目的，请勿用于商业用途或大规模爬取。
  • 使用本工具时请遵守相关网站的使用条款和规定。
  • 过度使用可能导致 IP 被封禁，请谨慎使用。
how to use wechat-article-search

How to use wechat-article-search on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add wechat-article-search
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/wuchubuzai2018/expert-skills-hub --skill wechat-article-search

The skills CLI fetches wechat-article-search from GitHub repository wuchubuzai2018/expert-skills-hub and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/wechat-article-search

Reload or restart Cursor to activate wechat-article-search. Access the skill through slash commands (e.g., /wechat-article-search) or your agent's skill management interface.

⚠

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases▌

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ 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.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.8★★★★★43 reviews
  • ★★★★★Ama Gonzalez· Dec 28, 2024

    wechat-article-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Lucas Thompson· Dec 20, 2024

    Solid pick for teams standardizing on skills: wechat-article-search is focused, and the summary matches what you get after install.

  • ★★★★★Lucas Kim· Dec 16, 2024

    wechat-article-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Sakshi Patil· Nov 23, 2024

    Useful defaults in wechat-article-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Jin Kim· Nov 19, 2024

    I recommend wechat-article-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Lucas Shah· Nov 11, 2024

    wechat-article-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Tariq Chen· Nov 7, 2024

    Keeps context tight: wechat-article-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Tariq Martin· Nov 7, 2024

    Registry listing for wechat-article-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Tariq Thompson· Oct 26, 2024

    We added wechat-article-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Tariq Yang· Oct 26, 2024

    Useful defaults in wechat-article-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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