Skill UI

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 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 skill provides centralized management for organization-wide Windsurf settings, including editor preferences, AI behavioral policies, tool approvals, and compliance requirements. It is essential for administrators who need to standardize configurations, manage global team policies, and ensure organizational compliance across multiple teams within an enterprise setting.

Fast-reference component for SaaS finance metrics, providing formulas, benchmarks, and red-flag cues during reviews, meetings, or decision checks without deep explanations.

LEX is a structured truth engine designed to eliminate legal hallucinations by grounding AI agents in verified government references and legislation across 29+ jurisdictions (including US, EU, and CA). It provides deterministic context for comparing legal requirements, drafting compliant business, and employment documents, ensuring high jurisdictional accuracy.

Crafts polished internal communications by matching request types (3P updates, newsletters, FAQs, etc.) to reference templates, gathering context, confirming scope, and producing concise, audience-aware drafts with metrics and links.

This reference architecture outlines a comprehensive financial stack for startups. It centralizes core financial functions—including banking (Mercury), payroll (Gusto), revenue/expense tracking (Stripe/Brex), and advanced bookkeeping/tax services (Fondo)—into a unified data flow. It helps founders and finance teams manage everything from daily transactions to monthly closing, tax filings (like R&D credits), and generating board reports efficiently.

This reference architecture details the design of a multi-tenant integration layer for the MindTickle sales enablement platform. It strictly enforces tenant data isolation across all components (database, cache, queue) to ensure that organizational data remains separate. The system manages user synchronization (via SCIM 2.0), tracks course progress, records quiz results, and aggregates team readiness reports, making it ideal for complex SaaS enterprise deployments.

This skill ingests public complaints from X/Twitter, automatically detecting, classifying, and clustering reported bugs. It cross-references symptoms with repository evidence (commits, deploys) and assigns ownership using defined routing rules. It is essential for product teams needing to monitor product health and gather early bug signals from social media channels.

This meta-skill is designed to convert complex web research requests into polished, structured, and source-cited deliverables. Use it when you need a market briefing, technical report, or decision memo that requires deep web lookup and scholarly citation. It orchestrates the entire process, including preference inference, multi-source search, drafting, and optional DOCX export, ensuring the output is authoritative and actionable.

This comprehensive command orchestrates full campaign localization across multiple target markets. It adapts all assets (emails, ads, social posts, landing pages, video scripts, etc.) beyond simple translation, adjusting cultural references, ensuring regional compliance, and localizing SEO for global market expansion.

A comprehensive checklist for the final preflight checks of the Annual Review of Sociology (ARSoc) article. This guide ensures compliance with publisher requirements, covering disclosure statements, reference formatting, figure permissions, and critical transparency obligations for coverage accounts and meta-analyses. It serves as the last quality gate before final submission.