Skill UI

This skill covers using the Azure Event Hubs SDK for TypeScript to build high-throughput event streaming applications. It includes real-time data ingestion, sending events to specific partitions, receiving events with checkpointing for production reliability, and handling batch processing options. Ideal for IoT telemetry and real-time data pipelines.

This skill mines offline Telegram Desktop chat exports (result.json) to identify unmet market needs and product opportunities. It uses chunked streaming to prevent memory crashes on large files and ensures verbatim quote grounding for accuracy. It applies cross-chat multiplicity laws to filter noise and hallucinations, supporting both English and Russian lexicons for pain point extraction without network requests.

This skill automates Kimi Code execution in non-interactive mode within a bounded repository. It parses event streams, handles authentication securely, and manages sandbox permissions. Use it to delegate specific coding tasks to Kimi Code while ensuring safety constraints like timeouts and directory limits. It prevents interactive UI launches and avoids credential exposure.

Runs OpenCode headlessly via CLI to analyze repositories and perform coding tasks, returning JSON event streams. Use when delegating work to OpenCode or comparing it with another coding agent.

Executes Pi in a non-interactive sessionless mode, parses its JSON event stream, and handles authentication and tool permissions. Useful for delegating bounded analysis or implementation tasks to Pi.

A guide to building robust projections and read models from continuous event streams. This pattern is essential for implementing CQRS read sides, creating materialized views, optimizing query performance, and building complex search indexes in event-sourced architectures. Use it when data needs to be transformed and aggregated from raw events into optimized query structures.