A sophisticated AI skill that automatically discovers semantic connections and generates bidirectional links across markdown note vaults.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skylv-knowledge-graph-notes
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 skylv-knowledge-graph-notes 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 Skylv Note Linking?
Skylv Note Linking is a powerful tool designed to transform fragmented documentation into a cohesive, interlinked knowledge web. By leveraging Openclaw Skills for deep semantic analysis, this skill goes beyond simple keyword matching to understand the context behind your writing. It identifies entities, infers relationships between disparate topics, and helps users build a structured knowledge graph from their personal notes. Whether you are managing an Obsidian vault or a directory of research papers, this skill ensures that your information is always accessible and logically connected.
Skylv Note Linking Use Cases
- Automatically generating bidirectional links and backlinks within markdown-based knowledge bases.
- Building and visualizing complex knowledge graphs to identify central hubs of information.
- Discovering hidden semantic relationships between notes that lack direct keyword overlaps.
- Organizing scattered or orphan notes by identifying potential topic clusters and connections.
- Querying a personal knowledge base to find all relevant nodes related to a specific entity or project.
How Skylv Note Linking Works
- The engine recursively scans the notes directory to index markdown, text, and org files while parsing YAML frontmatter.
- Content is split into logical blocks and analyzed for named entities such as people, tools, and technical concepts.
- Relationship scores are calculated using a combination of TF-IDF vectors, Jaccard similarity, and structural link analysis.
- Bidirectional link suggestions are generated based on user-defined confidence thresholds.
- A comprehensive graph is constructed, allowing users to traverse connections and export findings in multiple formats via Openclaw Skills.
Skylv Note Linking Setup
To integrate this capability into your workflow using Openclaw Skills, follow these installation steps:
- Install the skill using the command line:
openclaw install skylv-note-linking
- Set your notes directory (defaults to
~/.qclaw/workspace/). - Execute the linking process:
openclaw run skylv-note-linking --notesPath ./my-vault --format markdown
Skylv Note Linking Data Schema & Taxonomy
The skill manages information through a structured metadata taxonomy and local caching for performance:
| Component | Data Type | Description |
|---|---|---|
| Nodes | JSON Object | Contains note ID, file path, extracted topics, and keyword density. |
| Edges | JSON Object | Maps relationships between notes with confidence scores and semantic reasoning. |
| Cache | Local File | Stores the graph in ~/.qclaw/note-linking-graph.json for incremental updates. |
| Output | Markdown/JSON | Generates Obsidian-compatible wikilinks or raw graph data for external visualization. |
Skylv Note Linking Advanced Features
- Semantic understanding that connects concepts like LLMs to language models without explicit matches.
- Incremental indexing and watch mode support for real-time graph updates during note-taking.
- Configurable confidence thresholds to differentiate between auto-links and suggested connections.
- Full support for Obsidian-specific syntax, including wikilinks, callouts, and embeds.
- Graph traversal queries to find shortest paths or bridge notes between different subject clusters.
SKILL.md
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