DataLens Skill

The DataLens Skill epic encompasses a Telegram bot for user interactions, using OpenClaw framework for managing conversation state, uploading files, and executing skills. It integrates with backend services and OpenClaw memory for a conversational data querying environment. DataLens Orchestrator on theo is included to handle user requests and coordinate elin agents. DataLens Orchestrator uses the DataLens Skill running on theo to handle Telegram user interactions. DataLens Orchestrator uses the DataLens Skill running on theo to handle Telegram user interactions. The DataLens Orchestrator uses Telegram UI as the front-end communication channel for users. DataLens Orchestrator on theo is included to handle user requests and coordinate elin agents. DataLens Orchestrator uses the DataLens Skill running on theo to handle Telegram user interactions. DataLens Orchestrator uses the DataLens Skill running on theo to handle Telegram user interactions. The DataLens Orchestrator uses Telegram UI as the front-end communication channel for users. The DataLens Master Implementation Plan includes a DataLens Skill development phase. DataLens Skill development involves creating an OpenClaw skill following best practices. DataLens Skill involves building a Telegram bot for user interaction. DataLens Skill includes development of a Telegram upload handler to interface with elin services. DataLens Skill encompasses a query handler for natural language questions. DataLens Skill integrates conversation memory to maintain context in dialogs. DataLens Skill handles user requests via Telegram interface on theo.