← Back to Skills Marketplace
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.
by
Pandas_007
· GitHub ↗
· v1.0.0
· MIT-0
535
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install recursive-knowledge-miner
Description
Professional multi-layered knowledge extraction and recursive knowledge graph construction.
Usage Guidance
This skill appears coherent and low-risk: it only prescribes how the agent should extract and structure knowledge into JSON and does not request credentials or install software. Before using, avoid submitting sensitive secrets or private credentials as part of the text you want analyzed (the skill processes whatever you provide). If you plan to use this to build a growing knowledge graph across sessions, verify how your agent/platform stores and protects that graph data (the skill itself does not specify storage or export behavior). Finally, confirm whether you are comfortable with the agent invoking the skill autonomously (default platform behavior) when it decides the skill is relevant.
Capability Analysis
Type: OpenClaw Skill
Name: recursive-knowledge-miner
Version: 1.0.0
The skill bundle provides instructions for an AI agent to perform structured knowledge extraction and graph construction. It defines a JSON output schema and a hierarchical data model (core, primary, detail) for organizing information. There is no evidence of malicious intent, data exfiltration, or unauthorized command execution in SKILL.md or the metadata.
Capability Assessment
Purpose & Capability
Name/description claim a multi-layer knowledge extraction tool and the skill is instruction-only that defines exactly that behavior (entity/relation JSON schema, 3-layer architecture). There are no unrelated requirements (no env vars, no binaries, no installs).
Instruction Scope
SKILL.md stays on-purpose: it instructs the agent to parse the user's query and prior context, check a provided existing_terms list if present, build the Core/Primary/Detail hierarchy, and emit JSON. It does not instruct reading files, contacting external endpoints, or accessing unrelated system state.
Install Mechanism
No install spec and no code files — lowest-risk execution model. The skill is pure instructions that run in-memory as part of the agent's reasoning.
Credentials
The skill requests no environment variables, credentials, or config paths. The documented runtime behavior only references supplied context (user query, optional existing_terms) which is proportional to the stated functionality.
Persistence & Privilege
Flags show always:false and user-invocable:true. The skill can be invoked autonomously by the agent (platform default), which is normal; it does not request persistent system presence or modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install recursive-knowledge-miner - After installation, invoke the skill by name or use
/recursive-knowledge-miner - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of recursive-knowledge-miner skill.
- Introduces a 3-layer hierarchical architecture for professional knowledge extraction: core, primary, and detail.
- All responses are structured JSON objects following a strict schema for explanations, entities, and relationships.
- Implements logic to maintain a consistent, non-duplicative knowledge graph using reference checks and ID mapping.
- Provides clear protocols for entity grouping, relationship definition, and context-aware extraction.
- Details a step-by-step workflow for recursive knowledge growth and interactive graph construction.
Metadata
Frequently Asked Questions
What is A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.?
Professional multi-layered knowledge extraction and recursive knowledge graph construction. It is an AI Agent Skill for Claude Code / OpenClaw, with 535 downloads so far.
How do I install A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.?
Run "/install recursive-knowledge-miner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. free?
Yes, A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. support?
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.?
It is built and maintained by Pandas_007 (@askxiaozhang); the current version is v1.0.0.
More Skills