LaunchKit · 2026
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knowledge-base-collector

Collect and organize a personal knowledge base from URLs (web/X/WeChat) and screenshots.

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by @ryanhong666

Setup & Installation

openclaw skills install @ryanhong666/knowledge-base-collector

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install knowledge-base-collector

What This Skill Does

Ingests web URLs, X/Twitter links, WeChat Official Account articles, and screenshots into a structured personal knowledge base. Each item is stored as a markdown file with metadata and tags, indexed for search. Includes a fallback to a connected macOS node for WeChat articles blocked by cloud fetch restrictions.

Handles WeChat's bot-detection blocks via a local macOS node fallback, which generic bookmarking tools cannot do.

When to use it

  • Saving a WeChat article for later reference
  • Archiving a Twitter thread with custom tags
  • Ingesting a screenshot of documentation via OCR
  • Searching saved articles by tag through Telegram
  • Generating a weekly digest from recently saved links

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User sends: https://mp.weixin.qq.com/s/example with note 'about RAG pipelines'

AGENT
  1. 1Identifies URL as a WeChat Official Account link
  2. 2Attempts cloud fetch via r.jina.ai, which returns a verification block
  3. 3Routes request to connected macOS node (Reed-Mac) for local fetch
  4. 4Writes content.md and meta.json under kb/20_Inbox/urls/YYYY-MM/<item>/
  5. 5Appends entry to index.jsonl with tags #rag #wechat
OUTPUT

Article stored and indexed, searchable via Telegram with query 'rag pipelines'