Skill UI

This skill provides comprehensive automation for core HubSpot business processes. It manages marketing automation tasks, including creating and updating contact lists, processing form submissions, and executing marketing email campaigns. Furthermore, it handles the full customer support lifecycle by creating, updating, and closing support tickets and follow-up tasks.

This guide provides best practices for optimizing HubSpot integration costs and performance. Learn to manage API call volume by implementing batch reads, using server-side search filters, and leveraging webhooks instead of continuous polling. It covers crucial concepts like rate limit monitoring and caching to prevent 'Too Many Requests' errors (429), ensuring stable and cost-effective development.

Manages data privacy compliance for HubSpot CRM, addressing global regulations like GDPR and CCPA. This tool facilitates Data Subject Access Requests (DSAR) by performing complete data exports, executing GDPR-compliant contact deletions, and implementing PII redaction for secure logging and reporting. Essential for maintaining regulatory compliance and data integrity.

This guide provides a comprehensive workflow for deploying applications powered by HubSpot to major cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers best practices for secret management (like API tokens), setting up environment variables, and implementing robust health check endpoints to ensure continuous operation in production environments.

This guide provides a deep-dive solution for migrating comprehensive CRM data from various sources (like Salesforce, Pipedrive, or spreadsheets) into HubSpot. It supports data mapping, creating custom properties, and executes robust batch imports via API, ensuring data integrity and seamless re-platforming for marketing and sales workflows.

Master advanced techniques for optimizing API interactions with HubSpot. Learn to implement batch operations, utilize effective caching strategies (e.g., LRU), minimize property requests, and handle large datasets via efficient pagination and streaming. This skill dramatically improves throughput and reduces API call latency across CRM operations.

This guide provides advanced patterns for managing API rate limits, crucial for reliable integration with platforms like HubSpot. It covers implementing exponential backoff, honoring 'Retry-After' headers, using request queuing (throttling), and optimizing throughput through batch operations to gracefully handle 429 rate limit errors.

This skill restructures AI-generated content to maximize cognitive accessibility, specifically optimized for users with ADHD or neurodivergence. It uses evidence-based techniques such as chunking, visual hierarchy, front-loading key points, and progressive disclosure. It offers three distinct modes (clean, flow, zen) to tailor the output structure, ensuring that complex information is highly digestible and easy to follow.

This structured mode acts as an experiment design partner for Product Managers. It guides users through formulating testable, falsifiable hypotheses, designing rigorous A/B tests (including sample size, duration, and guardrails), and interpreting results honestly. It helps PMs move from vague beliefs to clear, data-backed decisions: Ship, Iterate, or Kill.

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

An elite skill dedicated to generating premium, app-native, and highly readable UI/UX concept images. It visualizes entire application flows—from onboarding and authentication to complex dashboards—for iOS, Android, and cross-platform products. The focus is on creating believable, highly intentional designs with strong consistency, controlled color palettes, and clean hierarchies, avoiding generic, default-style mockups.

This skill analyzes an existing codebase using domain context and architectural decisions to identify architectural friction and "deepening opportunities." It proposes refactored improvements to increase module depth, enhancing testability, improving maintainer locality, and making the codebase more navigable for AI tools. It focuses on transforming shallow modules into robust, deeply leveraged components.