DataThings
Official@datathings · Luxembourg
Start-up in big data, data analytics, machine learning, predictive and prescriptive analytics, data modelling, temporal graph database based in Luxembourg
Agent Skills by DataThings
Showing 4 vetted skills indexed across 1 GitHub repositories.
datathingsllamacpp
Reference the llama.cpp C API for model loading and inference workflows.
datathingsgreycat-c
Consolidate GreyCat C API and GCL stdlib references for native development.
datathingsgreycat
Bundle GCL scripting, MCP exposure, and local LLM inference into a GreyCat toolkit.
datathingsskill-creator
Generate SKILL.md files and scaffold resource directories for Claude skills.
Frequently Asked Questions About DataThings
FAQPage SchemaWhat specific tasks does the GreyCat environment enable?▼
GreyCat enables high-performance temporal graph modeling, GCL scripting, and local inference execution. It is designed for complex data analytics tasks requiring native performance and real-time processing of time-series data structures within a unified development environment.
Who is the target persona for these technical resources?▼
The target personas are data engineers, systems architects, and developers focused on high-performance computing and temporal data analysis. These resources are intended for professionals building custom analytics solutions that require low-latency graph processing and native C-based integration.
What are the prerequisites for deploying these solutions?▼
Deployment requires a C-compatible development environment and familiarity with the GreyCat language (GCL). Users must ensure their infrastructure supports native compilation and has sufficient memory allocation for local model loading and temporal graph storage.