elara.ai
Official@elaraai
Programmable AI for solving complex business problems.
Agent Skills by elara.ai
Showing 16 vetted skills indexed across 2 GitHub repositories.
elaraaie3-create
Scaffold East and e3 projects with standardized directory structures and configuration files.
elaraaieast-ontology
Build a typed economic ontology graph of business resources, activities, KPIs, and decisions.
elaraaieast-project
Scaffold and manage East and e3 dataflow projects across TypeScript, Python, and C runtimes.
elaraaieast-contribute
Manage end-to-end contribution workflows for the East monorepo across TypeScript, Python, and C.
elaraaieast-design
Architect business-oriented software solutions using East and e3 frameworks.
elaraaie3-ui
Connect East UI components to e3 workspaces for reactive data binding.
elaraaie3-ui-cli
Render East UI components and decision surfaces as PNG images and standalone HTML files from TypeScript, IR, or live workspace tasks.
elaraaieast-py-std
Provide East standard platform functions for Python runtimes.
elaraaieast-py
Compile and execute East IR via a Cython bridge to the east-c runtime.
elaraaieast-py-io
Provides a type-safe unified async I/O platform for East programming language on Python runtime.
elaraaieast-node-std
Enable East programs to access Node.js platform APIs.
elaraaie3
Orchestrate durable East dataflow execution with content-addressable caching.
elaraaieast-node-io
Access external data sources via a unified Node.js API for East programs.
elaraaieast-ui
Define portable East UI component trees with a type-safe API.
elaraaieast
Compile East programs to executable JavaScript within TypeScript projects.
elaraaieast-py-datascience
Run optimization and ML workflows with Scikit-learn, XGBoost, and SHAP on East.
Frequently Asked Questions About elara.ai
FAQPage SchemaWhat specific business tasks are enabled by these capabilities?▼
These capabilities enable the construction of typed economic ontologies, the orchestration of durable dataflows, and the generation of reactive decision-support interfaces. Users can map complex business resources, activities, and KPIs into a unified graph structure while maintaining type safety across TypeScript, Python, and C runtime environments.
Which technical personas are the primary target for this framework?▼
The framework targets software architects and data engineers focused on building business-oriented systems. It is designed for developers who need to bridge disparate language runtimes, manage complex economic data models, and maintain consistent logic execution across heterogeneous environments using a unified intermediate representation.
What are the core prerequisites for implementing these solutions?▼
Implementation requires a TypeScript-based development environment for project scaffolding and management. Users must integrate the specific runtime bridges—such as the Cython bridge for C-linked execution or the Node.js platform interfaces—to enable cross-language compilation and dataflow execution within their existing infrastructure.