Skill UI

Automate PagerDuty incident, service, and on-call operations through Rube MCP’s Composio toolkit; follow the advised workflow to fetch tools, manage connections, and run incident handling, alert analytics, service configuration, and schedule updates safely.

Assistant for PostgreSQL developers that highlights native features, advanced data types, performance tuning patterns, and extension usage to optimize queries, indexes, and analytics in PostgreSQL projects.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

This setup provides a local development loop for integrating and testing Fathom API functionalities. It utilizes mock meeting and transcript data, making it ideal for building meeting analytics tools, simulating webhook handlers, or iterating on complex transcript processing pipelines without requiring live API calls. It ensures a robust environment for isolated development testing.

This guide provides comprehensive strategies for managing version upgrades and handling breaking changes related to the Fathom AI meeting assistant API. It includes TypeScript examples for detecting schema drift, migrating old transcript formats to new speaker-attributed segments, and implementing robust rollback mechanisms, ensuring stable integration into downstream analytics and CRM systems.

This skill provides a comprehensive guide for deploying a containerized Finta integration service using Docker. It connects to the Finta API to manage critical fundraising data, including tracking fundraising rounds, investor pipelines, and deal flow analytics. The implementation covers environment configuration, health checks, and rolling update strategies, ensuring zero-downtime operation during active fundraising campaigns.

A comprehensive guide detailing security best practices for the Hex data analytics platform. This covers secure API key management (read vs. run scopes), implementing least privilege access, validating webhooks, and redacting sensitive data from logs. Use this guide when auditing Hex security configuration or integrating secure data pipelines.

This comprehensive debugging bundle collects essential diagnostic evidence from Linktree link-in-bio API integrations. It systematically checks OAuth token validity, profile metadata retrieval, link status, click analytics availability, and webhook endpoint health. The resulting data package helps support engineers quickly diagnose complex issues like broken links, missing analytics events, and permission errors without needing direct Linktree admin access. Ideal for QA and support teams.

Provides comprehensive guidance and code patterns for upgrading and migrating integrations with the Linktree API. It addresses breaking changes related to link types, analytics schema updates, and profile customization fields, ensuring reliable data synchronization and link management across evolving versions.

A comprehensive guide to reducing Algolia operational costs. This guide details the pricing structure based on search requests and records, providing advanced techniques such as implementing virtual replicas instead of standard replicas, utilizing multi-query search for request batching, and implementing client-side caching. It also includes strategies for auditing, cleaning up unused indices, and monitoring usage via the Analytics API.

A comprehensive guide to implementing advanced user behavior tracking and real-time data synchronization with Algolia. This guide demonstrates how to use the Insights API to track clicks, conversions, and views, and how to build event-driven pipelines using database change listeners (e.g., Prisma middleware) to keep your Algolia index perfectly synced with your core application data. Essential for deep search analytics and relevance tuning.

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.