Skill UI

A comprehensive, production-grade reference architecture for integrating with Apollo.io. It details a layered design encompassing API services, business logic, background job processing (e.g., lead enrichment), and data modeling, enabling the building of robust sales intelligence and CRM synchronization systems.

This comprehensive workflow builds an end-to-end lead enrichment pipeline. It accepts raw prospect lists via webhooks, automatically enriching missing details (emails, titles, company info, tech stack) using various third-party providers. Leads are scored using an ICP formula, and qualified contacts are automatically pushed to your CRM system for targeted sales outreach.

Guides creation of B2B cold outreach emails and follow-up sequences that read like a peer note, covering subject lines, hooks, proof points and single-ask CTAs for sales development reps.

Guides creation of competitor comparison or alternative landing pages for SEO and sales enablement, detailing honesty-first messaging, multiple page formats, and centralized competitor data so evaluators can choose confidently.

This guide details the comprehensive setup of Granola for large-scale, multi-departmental enterprise environments. It covers creating isolated workspaces (e.g., Engineering, HR, Sales), integrating Identity Providers using SSO/SCIM, and implementing granular compliance controls (data retention, external sharing, MFA) to ensure data security and departmental autonomy.

A comprehensive reference architecture for deploying meeting intelligence platforms (like Granola) across large organizations. This blueprint details the core data capture pipeline, integration topology using middleware (Zapier), multi-workspace structure (Sales, HR, Engineering), and robust security layers (SSO, AES-256) to ensure automated workflows from meeting to action item across all departments.

This workflow handles the end-to-end pipeline for launching cold email campaigns using the Instantly API v2. It allows users to programmatically create complex campaigns, define multi-step sequences with delays, configure schedules, and bulk-add personalized leads. Ideal for sales and marketing teams automating high-volume, structured outreach campaigns.

Implements robust Role-Based Access Control (RBAC) for Juicebox, an AI-powered platform for recruiting and sales. This system defines granular permissions for various roles (Admin, Recruiter, Analyst, etc.), controlling access to sensitive candidate databases, data enrichment capabilities, outreach functions, and data export. It ensures data governance, maintains compliance (e.g., SOC 2), and segments user access based on job function and need-to-know principles.

This comprehensive skill guides the entire product marketing lifecycle, from defining Ideal Customer Profiles (ICP) and developing core positioning statements (e.g., Dunford's method) to executing Go-To-Market (GTM) strategies and product launch plans. It also covers competitive intelligence, building detailed battlecards, and improving sales enablement through win/loss analysis, ensuring successful market entry and adoption across international markets.

This specialized skill helps users automate and optimize the entire sales lifecycle, from initial outreach to closing. It is designed to draft persuasive cold email sequences, comprehensive follow-up campaigns, professional proposals, compelling case studies, and robust objection handling scripts. Ideal for proactive lead nurturing and structuring detailed sales funnels.

This guide provides expert patterns for building robust and scalable applications on the Salesforce platform. It covers modern UI development using Lightning Web Components (LWC) with reactive data services, and teaches advanced Apex implementation. Key patterns include utilizing handler classes for bulkified triggers to prevent recursion and ensuring separation of concerns, crucial for high-performance, maintainable code.

This skill provides zero-shot time series forecasting using Google's TimesFM foundation model. It forecasts any univariate time series (like sales, sensor data, or weather) without requiring custom model training. The model delivers point forecasts along with calibrated prediction intervals (quantiles), offering a robust and probabilistic view of future trends. It is ideal for rapid, reliable forecasting across diverse time-based datasets.