A sophisticated knowledge extraction engine that transforms unstructured professional text into multi-layered, interactive knowledge graphs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install recursive-knowledge-miner
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 recursive-knowledge-miner 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 Professional Knowledge Extraction Skill?
The Professional Knowledge Extraction Skill is a high-performance framework designed for Openclaw Skills users who need to convert complex technical inquiries into structured, machine-readable data. It utilizes a rigorous 3-layer information architecture to organize concepts into core, primary, and detailed nodes, ensuring that AI responses are not just text, but interconnected data structures.
By enforcing a strict JSON output protocol, this skill enables AI agents to map logical relationships and maintain a recursive knowledge network. It is particularly effective for technical documentation analysis, research synthesis, and complex problem-solving where understanding the hierarchy of information is critical for success.
Professional Knowledge Extraction Skill Use Cases
- Mapping complex software architectures or technical specifications into visual hierarchies.
- Generating structured study guides or research maps from dense academic papers.
- Maintaining long-term context in recursive AI projects by referencing a persistent entity-relationship database.
- Automated extraction of business requirements and their dependencies from stakeholder transcripts.
How Professional Knowledge Extraction Skill Works
- Ingest: The skill analyzes the user query and evaluates the existing conversational context to identify relevant entities.
- Lookup: It cross-references an existing_terms list to ensure entity ID consistency and prevent the creation of duplicate nodes.
- Structure: Concepts are organized into a 3-layer hierarchy (Core, Primary, and Detail) to maintain a clean and logical information flow.
- Serialize: The agent generates a validated JSON object containing the natural language reply, entity definitions, and relational mappings.
Professional Knowledge Extraction Skill Setup
To integrate this capability into your AI environment, ensure your agent is configured to handle Openclaw Skills and install the extraction package:
# Install the skill via the Openclaw CLI
openclaw install knowledge-extraction-skill
# Validate your local configuration
openclaw verify-skill extraction
Ensure your system prompt is updated to enforce the JSON response structure required for graph rendering.
Professional Knowledge Extraction Skill Data Schema & Taxonomy
The skill produces a structured JSON output to maintain technical accuracy across the Openclaw Skills ecosystem:
| Key | Type | Description |
|---|---|---|
reply |
String | The natural language explanation of the query. |
entities |
Array | Objects containing id, label, and group (core, primary, or detail). |
relations |
Array | Logic maps defining the from, to, and label of entity connections. |
Entity Groups
- core: The central subject (1 node).
- primary: High-level frameworks (3-5 nodes).
- detail: Granular data points and specific parameters.
Professional Knowledge Extraction Skill Advanced Features
- Recursive Growth: Uses existing_terms to anchor new information onto established nodes without data duplication.
- Weighting & Disambiguation: Employs active verb labeling for relationships and unique ID mapping for similar concepts.
- Semantic Consistency: Inherits attributes from previous nodes to extend the knowledge network dynamically.
- Noise Reduction: Filters out conversational filler to focus exclusively on technical and contextual relevance.
SKILL.md
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