Personal Knowledge Base

👤 ivangdavila 📦 v1.0.1 ⭐ 3.9 ⬇️ 4.1K 下载
📚 知识管理 免费

📖 技能介绍


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

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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

🤖 AI 评测

这个工具质量不错!它教你一个聪明的方法来管理知识和想法——先快速记录下来,之后再慢慢整理。整体流程分阶段推进,容易上手,不会让人感到不知所措。核心理念清晰、实用性强,能帮你逐步建立自己的知识体系。不过目前主要停留在理念讲解,缺少实际的操作演示,搜索功能也还没有具体实现。总体来说作为基础版本值得尝试,但想用得更顺手可能还需要自己进一步摸索。

📊 多维度评分

适应性3.8
规范性4.2
有效性4.1
可靠性3.2
可信度4.4

📁 包含文件 (2 个)

📄 SKILL.md 3.9 KB
📄 _meta.json 122 B