LaunchKit · 2026
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knowledge-base-collector

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

0
696 downloads
by @reed1898

Setup & Installation

openclaw skills install @reed1898/knowledge-base-collector

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

npx clawhub install knowledge-base-collector

Version History

v0.1.3Feb 13, 2026 - Version note by skill developer:

chore: weekly digest + wechat backlog

What This Skill Does

Saves URLs and screenshots into a local knowledge base with tag-based classification. Supports web pages, X/Twitter links, and WeChat Official Account articles, with a macOS node fallback when WeChat cloud fetch is blocked. Entries are stored as markdown files with metadata and indexed for keyword and tag search.

The macOS node fallback for WeChat fetching achieves a higher success rate than standard scrapers, which typically hit verification blocks on WeChat content.

When to use it

  • Archive a WeChat article before it gets deleted or blocked
  • Save X/Twitter threads to a searchable personal library
  • Store a screenshot with OCR text as a tagged note
  • Search past saved links from Telegram by keyword or tag
  • Generate a weekly digest of recently saved content

Example Workflow

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

INPUT

User sends: https://mp.weixin.qq.com/s/example-article

AGENT
  1. 1Detect source type as WeChat from the mp.weixin.qq.com domain
  2. 2Attempt cloud fetch via r.jina.ai
  3. 3On verification block, delegate fetch to connected macOS node (e.g. Reed-Mac)
  4. 4Write content.md and meta.json to kb/20_Inbox/urls/<YYYY-MM>/<item>/
  5. 5Append entry to index.jsonl with assigned topic tags
OUTPUT

Article archived with tags like #wechat and #agent, searchable via Telegram