Skill UI

Provides a comprehensive, production-ready reference architecture for building advanced analytics platforms powered by ClickHouse. It details everything from project layout (TypeScript/Node.js structure) and data ingestion pipelines (Kafka, Webhooks) to the optimal 3-layer schema design (Raw, Hourly, Daily) and multi-tenancy patterns, ensuring scalable and efficient OLAP query performance.

This guide provides production-ready patterns for using the @clickhouse/client library in Node.js. It covers critical, real-world scenarios such as safe typed queries, streaming large data inserts (with backpressure handling), robust batch operations with retries, and streaming SELECT queries for low memory consumption. It also includes best practices for comprehensive error handling and connection lifecycle management, ensuring stable and scalable ClickHouse integrations for data pipelines.

This skill guides the secure handling and lifecycle management of large-scale data artifacts, including training datasets, model weights, and checkpoint snapshots, within GPU cloud environments. It provides best practices for data pipelines, covering secure import via Kubernetes PVCs, compliant export, and stringent data validation, ensuring adherence to encryption standards (AES-256) and regulatory requirements (PII masking, RBAC).

A comprehensive tool for creating high-quality training datasets for custom object detection and segmentation models. It supports multiple advanced annotation methods including BBox drawing, SAM2 pixel-perfect segmentation, and DINOv3 visual grounding. Features include AI auto-detection, object tracking, and standardized COCO format export, streamlining the entire data pipeline from capture to training.

This guide provides a robust implementation for handling asynchronous webhooks from ElevenLabs. It covers the critical steps of receiving POST notifications (such as transcription completion, post-call audio, and failure events), performing secure HMAC-SHA256 signature verification, and routing the event data to specific processing handlers. Ideal for integrating ElevenLabs into conversational AI pipelines, ensuring data integrity and reliable background processing.

This comprehensive checklist guides developers through ensuring that Fathom API integrations are robust, secure, and fully compliant for production use. It covers critical areas including secrets management, rate limiting, webhook verification, advanced error handling (like circuit breakers), PII compliance, and comprehensive monitoring setup, ensuring reliable meeting data pipelines.

This skill provides a comprehensive guide to configuring and handling Fathom webhooks. It allows developers to receive real-time and completed meeting data at a custom endpoint. The payload includes critical information such as meeting summaries, full transcripts, and action items. Ideal for building automated data pipelines, triggering workflows, and integrating meeting intelligence into custom applications.

Automate the complex process of migrating design systems, design tokens, and styles between multiple Figma files, or from external sources into Figma. This tool covers the full pipeline: inventorying assets, extracting raw style data (colors, typography, effects), transforming them into structured design tokens (e.g., JSON format), and finally writing them back into Figma variables using the Variables API. Ideal for maintaining consistency across large design libraries.

Generates high-quality, deterministic, and editable vector diagrams (SVG) for system architecture, workflows, and pipelines. By using a structured JSON specification (FigureSpec), it ensures that the same input always yields the identical output, making it ideal for reproducible technical documentation, academic papers, and formal system modeling where precise layout and connections are critical. It is optimized for non-data-plot, formal diagrams.

Automates the Continuous Integration (CI) and Continuous Deployment (CD) pipeline for Finta fundraising CRM data. It runs mocked unit tests on every pull request (PR) and executes comprehensive integration tests against the live API upon merging to the main branch. This ensures the integrity of data synchronization logic, pipeline stage transitions, and automated investor reporting workflows.

A comprehensive guide to diagnosing and fixing common technical and workflow errors encountered in the Finta fundraising CRM. It covers API status codes (400-502), data validation issues (e.g., duplicate investors, missing fields), and synchronization breakdowns for investors, pipelines, and emails. Essential for maintaining data integrity during fundraising operations.

A comprehensive diagnostic bundle for Finta CRM, designed to collect critical operational data. It checks API connectivity, sync status for fundraising rounds and investor pipelines, and verifies integration health. Use it to troubleshoot sync failures, authentication errors, or to provide detailed support logs to the Finta support team.