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slipbot-logseq-importerslipbot logeq 导入器

Agent Skill

slipbot-logseq-importer 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

29,472

周安装

1,228

GitHub Stars

公开资料未说明

下载量

9,824
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:slipbot-logseq-importer(slipbot logeq 导入器)
来源仓库:https://github.com/jrswab/slipbot-logseq-importer
安装命令:
openclaw skills install slipbot-logseq-importer
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 slipbot-logseq-importer

简介

将注释从 Logseq 页面导入到滑箱中。当用户粘贴包含属性和项目符号注释的 Logseq 页面时使用。解析页面级属性,将每个项目符号提取为单独的注释,通过添加父上下文来处理嵌套项目符号,然后为每个项目运行 slipbot。

SKILL.md

name
logseq-import
description
Import notes from Logseq pages into the slipbox. Use when user pastes a Logseq page with properties and bulleted notes. Parses page-level properties, extracts each bullet as an individual note, handles nested bullets by adding parent context, then runs slipbot for each.

Logseq Import

Parse a Logseq page and create individual slipbox entries for each bullet point.

Critical Rule: Ignore All Tags

Do not import any tags from Logseq. This includes:

  • Page-level tags:: property
  • Inline #tags in bullet content
  • block-tags:: metadata

Slipbot generates its own tags based on content. Logseq tags would conflict with this.

Input Format

Logseq pages have two parts:

1. Page Properties (top of page, key:: value format):

type:: #literature
source:: Book
author:: David Kadavy
title:: Digital Zettelkasten
alias:: zettelkasten-book
status::
tags::

2. Bulleted Notes (markdown list):

- First note content here
- Second note with [[page ref]] link
  - Nested bullet under second
- Third note id:: abc123-uuid

Property Mapping

Logseq PropertySlipbox Field
title::source.title
source::source.type (if plain text like "Book")
source:: [text](url)source.title + source.url (if markdown link)
author::source.author
type:: #literatureNote type hint (maps to note)
alias::Ignore
status::Ignore
tags::Ignore (slipbot generates better tags)

Empty properties (e.g., author:: with no value) → null

Parsing Rules

Properties

  1. Extract all key:: value lines at the top
  2. Stop when hitting first bullet (- )
  3. Strip # from values like #literature
  4. Parse markdown links: [text](url) → extract both parts

Bullets

  1. Each top-level bullet (- ) becomes its own slipbox note
  2. Nested bullets: Add parent context to make them standalone

- Example parent: - [[Fleeting Notes]]: quick notes written anywhere - Example child: - Can be on paper or digital - Result: "Fleeting Notes (quick notes written anywhere) can be on paper or digital"

  1. Strip Logseq metadata from bullets:

- id:: uuid → remove - block-tags:: #xxx → remove entirely - #tag inline tags → remove entirely (slipbot generates its own) - #{"{" or malformed tags → remove

  1. Convert [[page refs]] → plain text (potential link targets)

Content Cleanup

  • Remove trailing id:: xxx from bullets
  • Remove block-tags:: xxx entirely
  • Remove all #tag inline tags (slipbot generates its own tags)
  • Preserve markdown formatting (bold, italic, code)

Workflow

  1. Precheck (before import)

- Parse the page properties and bullets (don't create notes yet) - Generate a brief summary of what the page is about (1-2 sentences based on title, author, and content themes) - Count total notes that will be created (including nested bullets that become standalone) - Present to user: summary, note count, source info - Ask for confirmation before proceeding with import - If user declines, stop and don't create any notes

  1. Parse the page (after confirmation)

- Extract page properties → source metadata - Extract all bullets → note list - Handle nesting by enriching child bullets with parent context

  1. For each bullet, invoke slipbot workflow:

- Use - {content} prefix (note type) - Include source: ~ {source.type}, {source.title} by {source.author} - Let slipbot handle: filename, tags, links, graph update

  1. Report results

- Count of notes created - Any issues encountered

Example

Input:

type:: #literature
source:: Book
author:: David Kadavy
title:: Digital Zettelkasten

- Rewriting ideas helps decide their importance
- [[Fleeting Notes]]: quick notes written anywhere
  - Can be captured on paper or digitally
- Keywords should be specific to the idea id:: abc123

Processing:

  1. Source: Book, "Digital Zettelkasten" by David Kadavy
  2. Bullets extracted:

- "Rewriting ideas helps decide their importance" - "Fleeting Notes: quick notes written anywhere" - "Fleeting Notes can be captured on paper or digitally" (nested, parent context added) - "Keywords should be specific to the idea" (id stripped)

  1. Each sent to slipbot as:

- - Rewriting ideas helps decide their importance ~ Book, Digital Zettelkasten by David Kadavy - etc.

Edge Cases

  • No properties: Treat as standalone notes without source
  • Deeply nested bullets (3+ levels): Flatten, accumulating context from all ancestors
  • Citation sections (## Citation:): Ignore (redundant with properties)
  • Non-bullet content: Ignore headers, paragraphs outside bullets
  • Multiple [[refs]] in one bullet: Keep all, convert to plain text

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

75.74%
按下载量换算7,441

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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