Agent skill

openspg-guide

Ant Group knowledge graph engine with SPG and KAG framework

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill openspg-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/tools/knowledge-graph/openspg-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OpenSPG Knowledge Graph Guide ## Overview OpenSPG is Ant Group's open-source knowledge graph engine based on the Semantic-enhanced Programmable Graph (SPG) framework. It combines property graphs with semantic reasoning, enabling knowledge extraction, representation, reasoning, and question answering. The KAG (Knowledge Augmented Generation) module integrates with LLMs for RAG over knowledge graphs. Suited for building domain-specific knowledge bases for research. ## Installation ```bash # Docker deployment git clone https://github.com/OpenSPG/openspg.git cd openspg docker-compose up -d # Python SDK pip install openspg # Access KG Studio at http://localhost:8887 ``` ## Core Concepts ``` SPG Framework ├── Schema Layer (define types and relations) │ ├── Entity types (Person, Paper, Concept) │ ├── Properties (typed, constrained) │ └── Relations (directed, typed edges) ├── Knowledge Layer (populate with data) │ ├── Entity extraction (NER + linking) │ ├── Relation extraction │ └── Property filling ├── Reasoning Layer (infer new knowledge) │ ├── Rule-based reasoning │ ├── Statistical reasoning │ └── LLM-augmented reasoning └── Application Layer (query and use) ├── Graph queries (SPARQL-

What's inside
Steps it walks through
  1. Overview
  2. Installation
  3. Core Concepts
  4. Schema Definition
  5. Knowledge Population
  6. KAG: Knowledge-Augmented Generation
  7. Graph Queries
  8. Use Cases
  9. References
Commands it runs
Docker deployment
git clone https://github.com/OpenSPG/openspg.git
cd openspg
docker-compose up -d
Python SDK
pip install openspg
Access KG Studio at http://localhost:8887
More from Auto-Empirical-Research-Skills
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About this skill
What does the openspg-guide skill do?

Ant Group knowledge graph engine with SPG and KAG framework

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill openspg-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going