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research-to-wechat

A research-first content pipeline that turns a topic, notes, article, URL, or transcript into a sourced article with an evidence ledger, routed structure, polished Markdown, inline visuals, cover image, WeChat-ready HTML, browser-saved draft, and optional multi-platform distribution (小红书、即刻、播客、朋友圈). Use when the user wants 深度研究、改写成公众号、写作、排版、配图、HTML 转换、公众号草稿生成、多平台分发.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/clarezoe/research-to-wechat
Or

Research to WeChat

Use this skill as a research-first control plane. Do not duplicate downstream skill wording.

Core Rules

  • Match the user's language.
  • Ask one question at a time.
  • Ask only when the answer changes source interpretation, structural frame, style fidelity, or draft publishing behavior.
  • Keep Markdown as the canonical article asset until the HTML handoff.
  • Save a draft only. Never publish live.
  • Separate verified fact, working inference, and open question.
  • Every major claim must be traceable to a source. Collect source URLs during research.
  • Every article must end with a "## 参考链接" or "## References" section listing all sources.
  • Apply the full normalization checklist to every article before refinement. Source artifacts, broken formatting, and LaTeX fragments must not survive into the final draft.
  • Every inline image must pass a two-tier evaluation: first eliminate disqualifying defects, then verify content match to the surrounding text.
  • Never pretend the workflow did interviews, long field research, team debate, or hands-on testing when it did not.
  • Prefer visible disclosure of AI assistance and source scope. Refuse human-only framing that would misrepresent the process.
  • Treat source capture as a runtime boundary: preserve title, author, description, body text, and image list before rewriting.

Operating Paths

Route the request into one of two paths:

  • Path A: research-first article use for: topic, keyword, question, notes, transcript, subtitle file goal: build the article from a research brief and evidence ledger

  • Path B: source-to-WeChat edition use for: article text, markdown file, article URL, WeChat URL goal: preserve the useful source core, then rebuild it for WeChat reading and distribution

Default routing:

  • procedural or tool-teaching material -> tutorial
  • thesis, trend, strategy, critique, case material -> deep-analysis
  • multi-topic roundup -> newsletter

Capability Aliases

Resolve capabilities through internal aliases, not vendor-style names:

  • source-ingest
  • markdown-polish
  • inline-visuals
  • cover-art
  • article-design
  • wechat-render
  • wechat-draft
  • multi-platform-distribute (loaded only when Phase 7 is triggered)

Use the current alias map in capability-map.md.

Accepted Inputs

  • keyword, topic phrase, or question
  • notes, outline, or raw material dump
  • article text
  • markdown file
  • PDF paper, report, or whitepaper
  • article URL
  • WeChat article URL
  • video URL
  • full transcript
  • subtitle file that can be expanded into a full transcript

PDF policy:

  • when the source is a PDF paper or report, extract all figures, charts, tables, and diagrams as image assets
  • save extracted figures to imgs/source-fig-*.png with captions and page numbers recorded in source.md
  • source figures carry higher credibility than AI-generated images and must be preferred in the final article

Metadata

Author@clarezoe
Stars3562
Views0
Updated2026-03-29
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-clarezoe-research-to-wechat": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.