A unified API bridge that fetches structured data from 17 authoritative sources including arXiv, NASA, and GitHub for advanced research.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geepers-data
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 geepers-data 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 Geepers Data Skill?
Geepers Data is a high-performance skill designed to streamline the way Openclaw Skills interact with global information repositories. Instead of managing dozens of individual API integrations, this skill provides a single, unified gateway to 17 authoritative sources. It is specifically engineered for developers and researchers who require structured, citable data from diverse domains such as academia, finance, demographics, and space exploration. By utilizing this skill, users can quickly pull verified facts and datasets into their AI workflows without the overhead of complex authentication for every different provider.
This skill acts as a powerful data orchestrator, allowing AI agents to perform cross-disciplinary searches across platforms like Wikipedia, PubMed, and the Census Bureau through a standardized interface. Whether you are building complex data visualizations or conducting deep-dive market analysis, Geepers Data ensures that your Openclaw Skills have access to the most reliable information available on the web.
Geepers Data Skill Use Cases
- Conducting comprehensive academic research by searching across arXiv, PubMed, and Semantic Scholar simultaneously.
- Building real-time financial dashboards using live market data and SEC/FEC filings.
- Automating repository analysis and issue tracking for development workflows using GitHub integration.
- Enriching data science projects with demographic insights from the US Census Bureau and computational results from Wolfram Alpha.
- Retrieving historical context or deleted web content through the Wayback Machine integration.
How Geepers Data Skill Works
- The skill initializes a connection to the unified Dreamer API using a single authentication key.
- Users can dynamically list all 17 available data sources to understand the current capabilities of the endpoint.
- A search request is dispatched with a specific source ID (e.g., 'nasa' or 'wikipedia') and a query string.
- The skill processes the structured response, delivering clean JSON data back to the Openclaw Skills environment for immediate use in research or analysis tasks.
Geepers Data Skill Setup
To get started with this skill, you must first obtain an API key from the Dreamer platform. Once you have your credentials, configure your environment as follows:
export DREAMER_API_KEY=your_key_here
Ensure that your Openclaw Skills agent has network access to api.dr.eamer.dev to execute search queries across the various integrated data providers.
Geepers Data Skill Data Schema & Taxonomy
The skill organizes its data through a standardized search response format. While individual source fields vary, the core taxonomy follows this structure:
| Attribute | Description |
|---|---|
source |
The unique identifier for the data provider (e.g., fec, weather). |
query |
The original search parameters passed to the authoritative API. |
limit |
The maximum number of records requested for the search operation. |
results |
An array of objects containing the specific metadata and content from the source. |
All metadata is returned as valid JSON, making it easy to parse within any Openclaw Skills automation.
Geepers Data Skill Advanced Features
- Multi-source discovery via the
/v1/dataendpoint to check available integrations in real-time. - Computational knowledge bridging through Wolfram Alpha for solving complex math or physics queries.
- Deep archive access using the Wayback Machine integration to track web changes over time.
- Unified authentication model that eliminates the need for 17 separate developer accounts and keys.
SKILL.md
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