Skill UI

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.

This architecture provides a scalable, production-ready framework for integrating AI candidate analysis with Juicebox. It manages automated data ingestion from job descriptions, ranks candidates using intelligent scoring, handles result caching, and facilitates seamless data export to major ATS platforms like Greenhouse and Lever. Designed for high-volume, complex hiring pipelines requiring data freshness, deduplication, and robust scaling.

This module provides production-grade patterns for integrating the Juicebox AI-powered people search API. It includes a singleton client for centralized rate-limit handling, a robust request builder for complex criteria (location, company, experience years), and structured error wrappers for reliable API calls (retries, error context). Ideal for building scalable recruitment, market research, or data enrichment tools.

This comprehensive toolkit guides senior UX designers and researchers through the entire product development lifecycle. It covers generating data-backed personas, mapping user journeys, planning structured usability tests, and synthesizing raw research data into actionable design recommendations. Use it when conducting deep user research or validating product designs.

This skill is designed to streamline the process of market research. It helps users gather comprehensive data on target markets, analyze industry trends, and identify key consumer insights. Use it to inform product development, refine business strategies, and make data-driven decisions.

This tool provides comprehensive competitive intelligence by scraping and analyzing data from major online platforms, including Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. It extracts structured data on competitors' content, pricing, ad strategies, review sentiment, and market positioning. Ideal for market researchers, product managers, and marketing strategists who need deep benchmarks across multiple digital channels to refine their own strategy.

A comprehensive tool for scraping e-commerce platforms to extract critical business data. Users can monitor product pricing, track competitor offers, analyze customer reviews for sentiment, and discover seller intelligence across various marketplaces. Ideal for market research, competitive analysis, and brand monitoring.

Guides product and growth teams through evaluating whether to scale, test, or kill acquisition channels using unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability indicators for data-driven go-to-market budgeting.

Guides product managers through TAM, SAM, and SOM calculations with adaptive questions, data citations, and context-aware prompts to build credible, investor-ready market size estimates for product ideas.

This skill provides a comprehensive guide and implementation methods for building a robust synchronization bridge between Odoo (ERP system) and WooCommerce (e-commerce store). It covers the automatic synchronization of products, real-time inventory updates, customer records, and the import/mapping of sales orders, ensuring data consistency across both platforms using their respective REST and external APIs.

This agent functions as a Senior Product Manager expert, providing comprehensive support across the entire product lifecycle. It utilizes over 30 proven PM frameworks (e.g., RICE, MoSCoW) and includes 12 templates and 32 essential SaaS metrics with exact formulas. It is designed for structured analysis, assisting with strategy definition, market discovery, roadmap planning, and data-driven decision-making.

Guides borrowers through refinance evaluation by collecting loan data, extracting mortgage statement fields, validating inputs against underwriting rules, and recommending the best products with clear, consumer-friendly explanations.