一键导入
slipbot
Used to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Used to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Import reading notes from Kindle HTML exports into the slipbox. Use when user sends a Kindle notebook export file (HTML/XHTML). Parses book title and author, extracts only user's Notes (skips Highlights), then runs slipbot for each.
Import reading notes from Instapaper exports into the slipbox. Use when user pastes an Instapaper highlight export with article title and notes. Parses title/URL from header, extracts user's own notes (plain text lines), skips original highlights (> lines), then runs slipbot for each.
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.
基于 SOC 职业分类
| name | Slipbot |
| description | Used to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance. |
Run pwd and get the {curDir}
{curDir}/slipbox/{curDir}/slipbox/.graph/graph.json> {content} → quote, contains attributed text.! {content} → idea, for speculative or creative thinking* {content} → journal, for personal reflection and logs- {content} → note, for information about subject~ {content} → source (appended after prefix+content combination)
- Content here ~ Source Type, Source Title by Source Author> Content here ~ Source Type, Source AuthorWhen a note is recognized:
Extract content and metadata
Generate filename
YYYYMMDD-HHMMSS-slug.md20260131-143022-compound-interest.mdCheck for existing source
source: null.Generate tags
[pomodoro-technique, Cal-Newport, deep-work]Create markdown file
---
title: "Generated Note Title from Content"
date: 2026-01-31T14:30:22-05:00
type: note
tags: [specific, object, based, tags]
source:
title: "Source Title"
type: "book"
author: "Author Name"
links: []
---
Note content here in markdown.
After creating a note, find connections:
Search existing notes
Determine connection type
Add bidirectional links
Quality over quantity: Only link when genuinely related
links:
- id: "20260120-093045-compound-interest"
type: related
reason: "Both discuss exponential growth concepts"
3.1: Validate frontmatter - Ensure the note has the required fields - title - date - type - tags
3.2: Remove broken links
- Check if notes that the new note links to still exist
- If any files are missing save them to {curDir}/slipbox/missing.md
After capture and linking:
4.1: Load graph index
- Read {curDir}/slipbox/.graph/graph.json
4.2: Add/update note entry
{
"notes": {
"20260131-143022-note-title.md": {
"title": "Your Note Title",
"source": {
"title": "Source Title",
"type": "book",
"author": "Author Name"
},
"type": "note",
"tags": ["tag1", "tag2"],
"links": [
"20260120-093045-other-note.md",
]
}
},
"last_updated": "2026-01-31T14:35:00-05:00"
}
4.3: Remove any entries from graph
- Read {curDir}/slipbox/missing.md
- If any notes are found missing remove the entry from the graph.
- Then remove them from {curDir}/slipbox/missing.md
4.4: Rebuild graph - If corrupted beyond simple note removals, rebuild from the current note files.
4.5: Write updated graph
- Save back to {curDir}/slipbox/.graph/graph.json
Respond to natural queries like: "Show me notes about X"
Approach:
Keep responses minimal:
User: "- The Feynman Technique is about teaching concepts to identify gaps in understanding"
You:
20260131-163500-feynman-technique.md[Feynman-technique, learning, teaching]When to apply this skill: Whenever user shares content that starts with the defined prefixes the content which follows should be captured for later reference.