据 AlphaMoat 统计,截至 2026-09,Personal Knowledge Base 累计下载 4,412 次、获 5 个星标,在全部 5,078 个 AI 技能中排名第 2,213 位,在「知识管理」分类(442 个)中排名第 210 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 141 | 4,412 | 5 | - |
| SkillHub ↗ | 139 | 4,387 | 5 | — |
各平台的计数口径不同,统计时间不一致。
该技能可保存链接摘要、想法、引文和待研究问题,并按主题组织文件。笔记可能包含个人或敏感信息;仅在用户明确要求时保存,保留来源归属,并避免记录凭据和不必要的个人资料。 删除 inbox 条目前应核对转换结果并备份重要笔记。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,412 | — | 5 |
| 2026-08 | 4,264 | +4.1% | 5 |
| 2026-07 | 4,096 | +10.9% | 5 |
| 2026-06 | 3,693 | +4.8% | 5 |
| 2026-05 | 3,523 | — | 5 |
| 2026-03 | 2,778 | — | 4 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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
把长文本、文档与网页内容压缩成要点和关键词的摘要工具。
通过 IMA OpenAPI 管理笔记与知识库内容。
规定如何为网页请求选择合适工具的必读指引。
调用百度 AI 搜索接口做网页检索的技能。
用 uvx 直接调用 markitdown,把各类文件转成 Markdown。
面向 OpenClaw 的默认网页搜索,实时检索多个引擎。
用 DuckDuckGo 接口做网页、新闻、图片与视频检索的技能。
检索并发现可用 OpenClaw 技能的技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在保留公式、格式与工作簿结构的前提下创建、检查并修改 Excel 文件的技能。
处理 Word 与 DOCX 文档的作业规范,重点是改完之后样式、编号与版式不跑偏。
把数据库、表格与导出的原始数据变成可决策结论的数据分析技能。
改 PPT 之前先看清结构的一套规范,目标是改完还能干净渲染。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。