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knowledge-lib知识库

Agent Skill

knowledge-lib 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,425

周安装

179

GitHub Stars

公开资料未说明

下载量

1,389
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:knowledge-lib(知识库)
来源仓库:https://github.com/lifei68801/knowledge-lib
安装命令:
openclaw skills install knowledge-lib
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install knowledge-lib

简介

知识库管理员将零散注释组织成带交叉引用的结构化 .md wiki,形成个人知识维基。

  • 适用于笔记整理、概念归档与知识检索增强,支持长期积累与迭代。
  • 当用户说“添加笔记”“创建概念”时自动触发页面生成与引用链接建立。
  • 需定期手动校验链接有效性,防止因重命名或删除导致引用断裂。
  • 建议限制自动创建频率,避免生成过多碎片化页面影响导航体验。

SKILL.md

name
knowledge-lib
displayName
Knowledge Lib
description
>
version
1.2.0
metadata
permissions
behavior
network
none
telemetry
none
credentials
none

Knowledge Lib

Personal knowledge wiki at ~/.openclaw/workspace/knowledge/.

Quick Start

  1. User says "add to wiki" with a link or file → agent saves + summarizes it
  2. User says "look up X" → agent searches wiki pages and answers with citations
  3. User says "wiki status" → agent reports wiki health stats

Directory Structure

knowledge/
├── raw/<category>/        # Source documents (read-only)
├── wiki/
│   ├── index.md           # Content catalog (refreshed on every write)
│   ├── log.md             # Chronological operation log (append-only)
│   ├── concepts/          # Concept pages (PascalCase: Self-Distillation.md)
│   ├── summaries/         # Document summaries (date-slug.md)
│   └── analyses/          # Query writeback results (date-query-slug.md)
└── output/                # Generated outputs (slides, charts)

Categories: ai-llm, engineering, products, startups

Schema Conventions

Frontmatter (all wiki pages)

---
created: YYYY-MM-DD
updated: YYYY-MM-DD
related: [[Concept-A]], [[Concept-B]]
sources: N
tags: [tag1, tag2]
status: active        # active | superseded | disputed
---

Naming Rules

  • Concepts: PascalCase → Self-Distillation.md, RAG.md
  • Summaries: YYYY-MM-DD-<slug>.md
  • Analyses: YYYY-MM-DD-query-<slug>.md

Cross-references

  • Wiki-links: [[ConceptName]] (Obsidian compatible)
  • Source citation: [[YYYY-MM-DD-summary-slug]]
  • Dispute mark: ⚠️ [[ConceptName#disputed]] when new data challenges old claims

Status Lifecycle

  • active → current knowledge
  • superseded → newer source proved this wrong (keep with link to replacement)
  • disputed → conflicting evidence, needs resolution

Content Type Guide

When user sends a link or document, classify by content type:

TypeIndicators
Paperarxiv.org, paperswithcode.com, huggingface.co/papers
Projectgithub.com repos
Blogmedium.com, substack.com, tech blogs
Company postopenai.com/blog, anthropic.com/news, deepmind.google
Productproducthunt.com, techcrunch.com

Action: save to raw/<category>/, then summarize and link concepts.

Workflow

Save (trigger: user command "add to wiki")

  1. Read the provided content or link
  2. Save to raw/<category>/YYYY-MM-DD-<slug>.md with frontmatter
  3. Log in log.md: ## [YYYY-MM-DD] save | <Title> | <category>
  4. Proceed to Summarize step

Summarize (trigger: after save)

  1. Read the raw document, identify key points
  2. Write summary to wiki/summaries/YYYY-MM-DD-<slug>.md
  3. Contradiction check: Compare new claims against existing active concepts

- If conflict: mark old as disputed, link both pages - If reinforcement: update existing page, increment sources

  1. Create or update wiki/concepts/<Concept>.md
  2. Add [[backlinks]] between related concept pages
  3. Refresh index.md
  4. Log: ## [YYYY-MM-DD] summarize | <Title> | touched N pages

Query (trigger: user asks "look up X")

  1. Search wiki/concepts/ and wiki/summaries/ for matches
  2. Answer with source citations
  3. If the answer is substantial → write to wiki/analyses/ and update links
  4. Log: ## [YYYY-MM-DD] query | <Topic> | sources: N

Health Check (trigger: user says "wiki status")

  1. Count unprocessed raw docs, orphan pages, missing frontmatter
  2. Report stats summary
  3. Optionally do deep-lint: contradiction scan, stale claims, missing concepts

Quick Commands

User saysAction
"add to wiki" + link/filesave → summarize
"look up X"query wiki
"wiki status"health check
"deep check"full lint

Templates

Concept Page

---
created: YYYY-MM-DD
updated: YYYY-MM-DD
related: [[Concept-A]], [[Concept-B]]
sources: N
tags: [category]
status: active
---
# Concept Name

## Definition
One sentence.

## Key Points
- ...

## Contradictions
- ⚠️ [[YYYY-MM-DD-summary-slug]] challenges: <brief>

## Sources
- [[YYYY-MM-DD-summary-slug]]

Summary Page

---
source: <URL>
category: <category>
concepts: [[Concept-A]], [[Concept-B]]
imported: YYYY-MM-DD
---
# Title

## Core Points
- ...

## Key Data
- ...

Analysis Page

---
created: YYYY-MM-DD
query: <Original question>
concepts: [[Concept-A]], [[Concept-B]]
sources: N
---
# <Question Summary>

## Answer
...

## Key Insights
- ...

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.01%
按下载量换算1,042

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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