A sophisticated Zettelkasten-style engine that transforms raw thoughts and research into a structured, bidirectional knowledge graph.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install slipbot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install slipbot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Slipbot?
Slipbot is an advanced knowledge management system designed to function as a digital garden for developers and researchers. By processing specific input patterns, it automatically categorizes content into notes, quotes, ideas, or journal entries. This skill excels at reducing the cognitive load of organizing information by handling the heavy lifting of metadata generation, file naming, and relationship mapping.
As part of the ecosystem of Openclaw Skills, Slipbot focuses on creating a long-term, queryable repository of information. It uses a structured Markdown approach paired with a centralized JSON graph index to ensure your knowledge remains portable, searchable, and deeply interconnected without requiring manual maintenance.
Slipbot Use Cases
- Capturing fleeting creative ideas using the idea prefix for later development.
- Archiving book quotes and research snippets with full source attribution and author tracking.
- Maintaining a structured daily journal for professional reflection and project logging.
- Building a networked knowledge base where concepts automatically link to related subjects.
- Performing fast, natural language queries across a growing library of technical documentation.
How Slipbot Works
- The agent detects a specific prefix in user input to determine if the content is a note, quote, idea, or journal entry.
- Metadata is extracted, including source information and specific object-based tags to ensure taxonomy consistency.
- A unique, slug-based Markdown file is generated with a standardized YAML frontmatter for maximum interoperability.
- The system scans the existing directory to identify semantic connections and establish bidirectional links between new and old notes.
- The central graph index is updated to reflect the new entry, allowing for rapid retrieval and relationship visualization.
Slipbot Setup
To initialize the environment for this skill, create the necessary directory structure in your project root:
mkdir -p slipbox/.graph
touch slipbox/.graph/graph.json
echo '{"notes": {}, "last_updated": ""}' > slipbox/.graph/graph.json
Ensure your local timezone is correctly configured in your environment settings so that Openclaw Skills can accurately timestamp your entries.
Slipbot Data Schema & Taxonomy
Slipbot utilizes a dual-layer data architecture to balance human readability with machine performance:
| Component | Path | Format |
|---|---|---|
| Individual Notes | /slipbox/YYYYMMDD-HHMMSS-slug.md |
Markdown with YAML Frontmatter |
| Knowledge Graph | /slipbox/.graph/graph.json |
JSON Object Index |
| Validation Log | /slipbox/missing.md |
Markdown list of broken references |
Each Markdown file includes specific metadata fields: title, date, type, tags, source (title, type, author), and a links array containing bidirectional references with relationship reasons.
Slipbot Advanced Features
- Semantic relationship types including extends, contradicts, supports, and references.
- Automated source deduplication that matches new entries against existing library titles.
- Self-healing graph maintenance that identifies and logs broken internal links.
- Fast-path querying that searches the JSON index before falling back to file-system scraping.
- Specific object-based tagging logic that avoids broad categories in favor of precise technical concepts.
SKILL.md
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