據 AlphaMoat 統計,截至 2026-09,Personal Knowledge Base 累計下載 4,412 次、獲 5 個星標,在全部 5,078 個 AI 技能中排名第 2,213 位,在「知識管理」分類(442 個)中排名第 210 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 141 | 4412 | 5 | - |
| SkillHub ↗ | 139 | 4387 | 5 | — |
各平台的計數口徑不同,統計時間不一致。
該技能可儲存連結摘要、想法、引文和待研究問題,並按主題組織檔案。筆記可能包含個人或敏感資訊;僅在使用者明確要求時儲存,保留來源歸屬,並避免記錄憑據和不必要的個人資料。 刪除 inbox 條目前應核對轉換結果並備份重要筆記。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4412 | — | 5 |
| 2026-08 | 4264 | +4.1% | 5 |
| 2026-07 | 4096 | +10.9% | 5 |
| 2026-06 | 3693 | +4.8% | 5 |
| 2026-05 | 3523 | — | 5 |
| 2026-03 | 2778 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: Personal Knowledge Base
description: Help users build a personal knowledge base by organizing whatever they send into structured notes.
metadata: {"clawdbot":{"emoji":"🧠","os":["linux","darwin","win32"]}}
---
## Core Behavior
- User sends anything: link, idea, quote, snippet, question, rambling thought
- Capture first, organize second — never lose input while deciding where it goes
- Create `~/kb/` as the workspace — flat folder of Markdown files initially- Inbox pattern: `inbox.md` for quick capture, process later into proper notes ## When User Sends Content - Link → fetch title and summary, save with source URL and capture date - Idea/thought → save as atomic note with descriptive filename - Quote → save with attribution, link to source if available - Question → save as note, mark for future research - Long rambling → extract key points, save as separate atomic notes ## File Naming Convention - Lowercase with hyphens: `how-to-negotiate-salary.md` - Descriptive over date-based — findable by topic, not when captured - No rigid hierarchy initially — flat folder with good names beats complex structure - Date prefix optional for journals: `2024-01-15-weekly-review.md` ## Note Structure - Title as H1 — matches filename concept - Tags at top or bottom — `#productivity #career` for filtering - Source/reference if applicable — where it came from - Related notes section — manual links build knowledge graph - Keep notes atomic — one concept per note, link between them ## Inbox Processing - Periodically ask: "Want to process your inbox?" - For each item: create proper note, add tags, link to related notes - Delete from inbox once processed — inbox should trend toward empty - Don't force immediate organization — capture friction kills usage ## When To Add Structure - 20+ notes: suggest consistent tagging system - 50+ notes: suggest index.md or MOC (Map of Content) for key topics - 100+ notes: suggest folder structure by domain if patterns emerge - Only add structure when navigation becomes painful ## Tagging Strategy - Start with 5-10 broad tags maximum — too many defeats purpose - Tags are for retrieval, not categorization — "when would I search for this?" - Multi-tag allowed — note about salary negotiation: #career #communication - Review and consolidate tags periodically — synonyms fragment knowledge ## Linking Between Notes - [[wiki-style]] links when supported, otherwise relative Markdown links - Link liberally — connections are the value of knowledge base - Backlinks show where note is referenced — surface hidden connections - Don't force links — some notes are standalone ## What User Might Send - "Just learned that..." → atomic note with insight - "Interesting article: [URL]" → fetch, summarize, save with source - "Reminder: X" → capture with context, might become action or reference - "I keep forgetting how to..." → create or update how-to note - Random thought → inbox immediately, process later ## Searching and Retrieval - Full-text search with grep or specialized tool — must be fast - Search by tag: find all notes with specific tag - Recent notes list — often want "that thing I saved last week" - Offer to search when user asks a question — might already have the answer ## Progressive Enhancement - Week 1: inbox.md only, dump everything - Week 2: process inbox into atomic notes with tags - Week 3: start linking related notes - Month 2: create index/MOC for main topics - Month 3: folder structure if needed ## What NOT To Suggest Early - Complex folder hierarchies — flat with good names first - Database or app — Markdown files work until they don't - Daily notes system — unless they specifically want journaling - Templates — organic structure emerges, then standardize ## Sync and Backup - Cloud folder (Dropbox/iCloud) for multi-device access - Git repo for version history — see how thinking evolved - Plain Markdown ensures portability — not locked to any tool
把長文字、文件與網頁內容壓縮成要點和關鍵詞的摘要工具。
透過 IMA OpenAPI 管理筆記與知識庫內容。
規定如何為網頁請求選擇合適工具的必讀指引。
呼叫百度 AI 搜尋介面做網頁檢索的技能。
用 uvx 直接呼叫 markitdown,把各類檔案轉成 Markdown。
面向 OpenClaw 的預設網頁搜尋,即時檢索多個引擎。
用 DuckDuckGo 介面做網頁、新聞、圖片與影片檢索的技能。
檢索並發現可用 OpenClaw 技能的技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在保留公式、格式和活頁簿結構的前提下建立、檢查或編輯 Excel 檔案。
處理 Word 與 DOCX 文件的作業指南,著重維持樣式、編號與版面。
把資料庫、表格與匯出的原始資料變成可決策結論的資料分析技能。
協助編輯 PowerPoint 簡報,並在交付前檢查版面是否正常呈現。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。