Repository inventory

aster110/mycc

Skills indexed from this repository, with install-style signals scoped to the repo.
5 skills540 GitHub stars0 weekly installsTypeScriptGitHubOwner profile

Overview

This skill reads WeChat public account articles from a provided link and returns a structured summary. It fetches the article body and images, extracts text from pictures, and presents core points, key facts, notable quotes, and image captions. Batch processing is supported for multiple links in one request.

How this skill works

Given one or more WeChat article URLs, the skill fetches title, author, full text (or video account summary), and all image URLs. It downloads images, performs OCR to extract embedded text or notable visual details, and consolidates those findings into a clear, structured summary. The output organizes metadata, core arguments, key takeaways, quoted lines, and per-image notes.

When to use it

  • You want a concise, structured summary of a WeChat public account article.
  • You need text extracted from images inside an article (diagrams, screenshots, posters).
  • You have multiple WeChat links and want batch summaries and a combined insight section.
  • You want quick extraction of title, author, type (article vs video account) and number of images.
  • You need highlights and short action or inspiration points from long articles.

Best practices

  • Provide full, accessible WeChat article URLs (public links) to ensure fetching works.
  • For batch jobs, list links separated by space or newline so the skill can process sequentially.
  • Expect only text summaries for video-account posts; video content cannot be extracted.
  • Avoid links that require login or are behind paywalls—these cannot be fetched.
  • Review extracted OCR text from images for accuracy when critical decisions depend on image content.

Example use cases

  • Summarize a single industry analysis post from a WeChat account into core arguments and takeaways.
  • Process a set of marketing posts to extract slogans, poster text, and recurring themes across articles.
  • Quickly capture images’ embedded text (event posters, charts) and include those findings in a report.
  • Batch-process multiple author posts to produce a combined insight section highlighting common trends.
  • Turn a long instructional article into a digest with step-by-step key points and quoted highlights.

FAQ

No. For video-account posts the skill can fetch only the public summary or description; it cannot extract or transcribe video content.

What happens if a link requires login?

The skill cannot access content behind login or paywalls. Provide public links to allow successful fetching.

How accurate is the image text extraction (OCR)?

OCR quality depends on image clarity and language. It captures most clear, high-contrast text but may need manual verification for noisy or stylized images.

5 skills

More from this maintainer
Other repositories and skills published under the same GitHub owner.
Skills library
Jump back to the full directory or explore grouped topics.
Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational