Skill UI

This skill provides a comprehensive guide to configuring event-driven workflows and robust notification systems for Databricks jobs. It covers setting up various notification destinations (Slack, Teams, Email, PagerDuty) and triggering alerts based on job lifecycle events (success, failure, start). Furthermore, it demonstrates advanced monitoring using system audit tables and creating automated SQL alerts for critical data pipeline monitoring.

This skill guides the application of Domain-Driven Design (DDD) tactical patterns, including defining aggregates, modeling value objects, managing repositories, and utilizing domain events. It helps developers translate complex domain rules into clean, robust, and behavior-rich code structures, ensuring invariants are explicitly enforced.

Personalized reports that analyze recent Claude Code chats to surface recurring challenges, highlight learning gaps, curate HackerNews resources, and deliver actionable development insights directly to your Slack DMs for targeted growth.

A specialized guide for building robust and scalable Discord bots from scratch. Covers modern best practices, including the use of slash commands, handling gateway intents, managing rate limits, and implementing sharding. Supports foundational patterns for both Discord.js (JavaScript/TypeScript) and Pycord (Python), ensuring your bot is production-ready and highly stable.

A comprehensive guide for migrating search pipelines from traditional keyword-based APIs (Google, Bing, Tavily) to Exa's advanced neural search capabilities. This guide covers building an adapter layer, implementing feature-flag traffic shifting, translating legacy query syntax, and leveraging Exa's unique features like semantic and similarity search for superior results.

Generates ORM models and database schemas for frameworks like TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate, translating user requests into ready-to-use model code or schema definitions to accelerate backend development.

Automates the conversion of meeting notes from Granola into structured development artifacts. This pipeline uses Zapier and GitHub Actions to automatically extract action items and decisions, creating corresponding issues in GitHub, tasks in Linear, and summarizing updates in Slack. It ensures that meeting outcomes are immediately tracked and integrated into the development workflow.

A comprehensive guide to diagnosing and resolving common technical issues encountered with the Granola application. Covers fixes for audio capture failures, transcription quality degradation, calendar syncing problems, and integration errors with platforms like Slack and Notion. Includes platform-specific troubleshooting steps for macOS and Windows users.

This comprehensive workflow automates the entire post-meeting cycle. It enhances raw transcripts by structuring notes, extracting action items, and summarizing key decisions using advanced AI models. Users can then seamlessly share these structured notes to integrations like Slack, Notion, and CRMs (HubSpot), while also using the Chat feature to draft follow-up emails and automatically update contact records in the built-in CRM.

This skill provides comprehensive setup and automation for integrating Granola with major SaaS platforms, including Slack, Notion, HubSpot, Attio, and Zapier. It automates the synchronization of meeting notes, action item extraction, and follow-up processes across diverse business tools, ensuring seamless cross-platform workflows and maximizing team productivity.

This skill provides comprehensive guidelines for monitoring Granola usage, tracking team meeting patterns, and building detailed analytics dashboards. It guides users in defining critical metrics (e.g., adoption rate, efficiency score) and establishing robust data pipelines. Users can stream meeting metadata from Granola to data warehouses like BigQuery, enabling deep, customizable reporting and automated weekly insights via services like Zapier and Slack.

This comprehensive checklist guides teams through the entire process of deploying Granola in a production or enterprise environment. It covers critical phases including plan selection, security hardening (SSO, data retention), integration setup (Slack, Notion, CRM), pilot testing, and post-launch monitoring, ensuring a smooth and successful organizational rollout.