Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Knowledge Base Collector
Collect and organize a personal knowledge base from URLs (web/X/WeChat) and screenshots. Use when the user says they want to save an URL, ingest a link, archive content to KB, tag/classify notes, store screenshots, or search their saved knowledge in Telegram. Supports WeChat via a connected macOS node when cloud fetch is blocked.
skill openclawclawhub Free
Collect and organize a personal knowledge base from URLs (web/X/WeChat) and screenshots. Use when the user says they want to save an URL, ingest a link, archive content to KB, tag/classify notes, store screenshots, or search their saved knowledge in Telegram. Supports WeChat via a connected macOS node when cloud fetch is blocked.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/ingest_image.py, scripts/ingest_url.py, scripts/search_kb.py, scripts/tagger.py, scripts/wechat_backlog.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.3
Provenance
- Publisher
- reed1898
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Summary
Ingest: web URLs, X/Twitter links, WeChat Official Account links (mp.weixin.qq.com), and screenshots Store: writes to a shared KB folder with per-item content.md + meta.json and a global index.jsonl Organize: tag-first classification with richer tags (e.g. #agent, #coding-agent, #claude-code, #mcp, #rag, #prompt-injection, #security, #pricing, #database) WeChat: cloud fetch may be blocked; when a macOS node (e.g. Reed-Mac) is online, prefer node-side fetch to improve success rate; otherwise create a placeholder entry Search: designed to support Telegram Q&A / search flows on top of the index and content 把用户发来的链接/截图沉淀到共享知识库（KB），并做标签化整理。
默认 KB 位置
KB Root（可改）：/home/ubuntu/.openclaw/kb 索引：kb/20_Inbox/urls/index.jsonl 每条内容目录：kb/20_Inbox/urls/<YYYY-MM>/<item>/content.md + meta.json 目标：先入库不丢，再迭代“摘要/标签/检索”。
1) 普通网页 / X(Twitter) / 公众号 URL 入库
运行脚本： python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/ingest_url.py "<URL>" --tags "#optional" --note "context" 行为： 自动识别来源（web/x/wechat） 优先用 r.jina.ai 抽取正文（无需登录） 公众号遇到风控会写占位条目：status=blocked_verification + tag #needs-manual 对同一 URL 做 key 去重（已存在则跳过） WeChat 更高成功率（推荐路径） 当云端抓取命中“环境异常/验证”时： 如果有已连接的 macOS 节点（例如 Reed-Mac）且该节点能访问该文章，可用 nodes.run 在节点上执行抓取（requests+bs4），然后写入 KB。 注意：这条路径依赖节点在线与网络环境；无法承诺 100%。
2) 截图/图片入库（含 OCR 文本）
脚本： python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/ingest_image.py /path/to/image.jpg \ --text-file /path/to/ocr.txt \ --title "..." --tags "#ai #product" --note "..." 说明： ingest_image.py 负责“落盘+索引”。OCR 可用： 本机 tesseract（若安装了 tesseract-ocr + chi_sim） 或用多模态 LLM 抽取文字后写入 --text-file
Telegram 里直接问（检索）
推荐先用脚本（本机/服务器）： python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/search_kb.py --q "claude code" --limit 10 python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/search_kb.py --tags "#claude-code #coding-agent" --limit 20 python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/search_kb.py --source wechat --since 7d --q "Elys"
公众号待补抓队列（占位条目）
python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/wechat_backlog.py --limit 30
周报/主题报告候选清单（给 LLM 写总结用）
python3 /home/ubuntu/.openclaw/skills/knowledge-base-collector/scripts/weekly_digest.py --days 7 --limit 30
重要注意事项（安全/隐私）
截图/网页可能包含 token/验证码/密钥：入库前应做脱敏（替换为 REDACTED）。 公众号抓取受风控影响：建议允许“占位入库”，后续再补全。
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/ingest_image.py
- scripts/ingest_url.py
- scripts/search_kb.py
- scripts/tagger.py
- scripts/wechat_backlog.py