An AI-native GitHub assistant utilizing vector search and LLM architecture to provide semantic search and proactive repo monitoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-semantic
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 github-semantic 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 Super GitHub?
Super GitHub is a sophisticated AI-native assistant designed to revolutionize how developers interact with their repositories. By leveraging a modern architecture involving Ollama for embeddings and Qdrant for vector storage, it allows for deep, semantic understanding of issues, pull requests, and code. As a key component of the Openclaw Skills ecosystem, it moves beyond simple keyword matching to provide context-aware results for natural language queries.
This tool transforms the GitHub CLI into a powerful intelligence layer, making it easier to navigate complex project histories and monitor repository health in real-time. Whether you are managing a single project or a massive organization, Super GitHub provides the technical infrastructure needed for high-performance repository management.
Super GitHub Use Cases
- Performing semantic searches across issues and PRs to find related bugs without needing exact keyword matches.
- Monitoring multiple repositories simultaneously for specific CI/CD failures or urgent keywords.
- Tracking repository health and activity through automated status checks and proactive alerts.
- Indexing entire organizations to gain a centralized, searchable knowledge base of all developer activity.
How Super GitHub Works
- The system interprets natural language intent from a user query using a Large Language Model.
- The input text is processed by an Embedder (nomic-embed-text) to create 768-dimensional vectors.
- These vectors are compared against a local Qdrant vector store to find the most relevant repository data.
- The gh CLI acts as the execution layer, fetching real-time data or performing actions based on the search results.
Super GitHub Setup
To get started with this addition to your Openclaw Skills, follow these steps:
# Authenticate with GitHub CLI
gh auth login
# Download the required embedding model
ollama pull nomic-embed-text:latest
# Initialize the Qdrant collection
python scripts/github_indexer.py init
# Index a specific repository
python scripts/github_indexer.py add owner/repo --all
Super GitHub Data Schema & Taxonomy
Super GitHub organizes data into a structured vector database to ensure fast and accurate retrieval. The schema includes:
| Data Type | Description | Storage Method |
|---|---|---|
| Vector Embeddings | 768-dimensional text representations | Qdrant Vector Store |
| Issue Metadata | Titles, labels, and body content | Local Metadata Index |
| PR Records | Pull request status and descriptions | Local Metadata Index |
| CI/CD Logs | Recent run statuses and failure logs | Real-time CLI fetch |
Super GitHub Advanced Features
- Multi-repository monitoring with customizable event triggers for issues and CI status.
- Proactive keyword alerting with support for Feishu notifications.
- Granular indexing controls allowing users to target specific data types like only issues or only PRs.
- Seamless integration with local LLM environments via Ollama for privacy-focused semantic analysis.
SKILL.md
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