Skill UI

This core skill drafts comprehensive and legally sound patent claims based on invention disclosures and prior art. It adheres to complex jurisdictional standards (US, EP, CN) and requires defining the precise legal scope of protection for both method and apparatus claims. Essential for the intellectual property pipeline.

This guide provides strategies to minimize API overhead when integrating with Clari. Users can optimize export frequency (e.g., daily vs. quarterly), implement data caching, and restrict data exports to only the necessary types, thereby reducing operational costs and improving system performance.

This checklist guides the secure and robust deployment of Clari API integrations into a production data pipeline. It covers crucial areas like secret management, rate limit handling, data deduplication, error resilience (circuit breakers, backoff), and comprehensive monitoring setup, ensuring reliable revenue forecasting and reporting.

This guide outlines best practices for securing your Clari integration. It covers secure API token management, emphasizing storage in secrets managers (like AWS Secrets Manager), and implementing robust PII redaction methods for exported forecast data to maintain data privacy and compliance.

Automate the execution of integration tests against a live ClickHouse database instance within a Continuous Integration (CI) pipeline using Docker containers. This setup eliminates the need for mocks, ensuring thorough schema validation and query reliability in environments mirroring production deployments. Ideal for robust CI/CD setup and schema enforcement.

Provides comprehensive methods for executing ClickHouse schema migrations, including column changes, engine migrations, and complex modifications like changing ORDER BY. It teaches best practices for zero-downtime schema updates and implements a versioned migration runner pattern for robust data evolution.

A comprehensive guide and code pattern for configuring ClickHouse instances across development, staging, and production environments. It emphasizes best practices for infrastructure-as-code (IaC), secure secrets management (integrating AWS Secrets Manager, Vault, etc.), and ensuring environment-specific settings are correctly applied for reliable data analytics pipelines.

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.

Automates the integration of ClickUp API within Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitHub Actions. This skill allows users to run comprehensive unit and integration tests against the ClickUp API v2, and critically, enables syncing the final deployment status (e.g., 'deployed') back to the corresponding ClickUp task, ensuring task tracking is always aligned with development progress.

This comprehensive guide serves as a reference for diagnosing and resolving common errors when interacting with the ClickUp API v2. It covers critical HTTP status codes (400, 401, 403, 404, 429, 500) and specific OAuth error codes (ECODEs). Use this resource when debugging failed API requests, troubleshooting authentication issues, or implementing robust error handling logic in your application.

This skill provides comprehensive handling for sensitive data extracted from the ClickUp API. It includes automated PII detection (emails, phone numbers, SSN), data redaction for secure logging, and mechanisms to ensure GDPR/CCPA compliance through structured data exports. Furthermore, it enforces data retention policies, managing data lifecycle from collection to secure deletion.