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Notes & PKM @jrswab Updated 2/26/2026

Slipbot OpenClaw Skill - ClawHub

Do you want your AI agent to automate Slipbot workflows? This free skill from ClawHub helps with notes & pkm tasks without building custom tools from scratch.

What this skill does

Used to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance.

Install

npx clawhub@latest install slipbot

Full SKILL.md

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namedescription
SlipbotUsed to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance.

Configuration

Run pwd and get the {curDir}

  • Notes directory: {curDir}/slipbox/
  • Graph index: {curDir}/slipbox/.graph/graph.json
  • Timezone: User's local timezone (check USER.md or system)

Note Patterns & Types

Prefixes

  • > {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

Delimiters

  • ~ {content} → source (appended after prefix+content combination)
    • Example note with source: - Content here ~ Source Type, Source Title by Source Author
    • Example quote with source: > Content here ~ Source Type, Source Author

Workflow

1. Capture

When a note is recognized:

  1. Extract content and metadata

    • Note content
    • Type (quote/idea/journal/note)
    • Source information (if provided)
  2. Generate filename

    • Format: YYYYMMDD-HHMMSS-slug.md
    • Slug: lowercase, hyphenated, from content passed in (max 4-5 words)
    • Example: 20260131-143022-compound-interest.md
  3. Check for existing source

    • If source is not provided set source: null.
    • If source provided, search existing notes for matching source title (case insensitive)
      • Use existing source if found
      • Otherwise, use provided source as-is
      • No external API calls - trust user input
  4. Generate tags

    • Extract specific objects concepts (nouns)
    • Focus on: people, tools, techniques, systems, specific topics
    • Avoid broad categories like "productivity" or "ideas"
    • Consistency: Check existing tags before creating new ones
    • 2 or 3 tags per note
    • Examples: [pomodoro-technique, Cal-Newport, deep-work]
  5. 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.

Note Titles

  • Descriptive but concise: 3-8 words
  • Avoid generic: Not "Thoughts" or "Notes", be specific
  • Question format works: "Why does X happen?" or "How to Y?"

2. Link

After creating a note, find connections:

  1. Search existing notes

    • Look for related concepts, people, topics
    • Check for overlapping tags
  2. Determine connection type

    • related - Similar topic or theme
    • extends - Builds on or expands another note
    • contradicts - Opposing viewpoint
    • references - Mentions same person/book/concept
    • supports - Provides evidence for another note
  3. Add bidirectional links

    • Update both notes' frontmatter
    • Include reason for connection

Quality over quantity: Only link when genuinely related

links:
  - id: "20260120-093045-compound-interest"
    type: related
    reason: "Both discuss exponential growth concepts"

3. Note Validations

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

4. Update Graph

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

Querying

Respond to natural queries like: "Show me notes about X"

Approach:

  1. Search graph index first (fast); only fall back to file search if needed.
  2. Present results with titles, dates, snippets
  3. Offer to show full content if relevant

User Feedback

Keep responses minimal:

  • ❌ Don't narrate every step unless debugging

Example Interaction

User: "- The Feynman Technique is about teaching concepts to identify gaps in understanding"

You:

  1. Create 20260131-163500-feynman-technique.md
  2. Tag: [Feynman-technique, learning, teaching]
  3. Search for related notes (study techniques, learning methods)
  4. Link to any relevant note about learning
  5. Update graph index
  6. Reply: "Note captured: Feynman Technique"

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.

Original URL: https://github.com/openclaw/skills/blob/main/skills/jrswab/slipbot

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