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 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 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.

This powerful tool facilitates comprehensive market research by extracting diverse data points from major consumer and business platforms, including Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. It is designed to provide structured data for market sizing, analyzing regional demand, tracking pricing trends, and validating consumer behavior, enabling users to identify actionable business opportunities and potential risks.

Generate comprehensive, legally structured business documents including contracts, proposals, SOWs, NDAs, and MSAs. This tool supports multiple global jurisdictions (US, EU/GDPR, UK, DACH), ensuring documents meet specific legal requirements for IP assignment, payment terms, and data compliance. Ideal for international client engagements or defining complex project scope.

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.

This comprehensive system provides a complete framework (EOS) for businesses to achieve operational excellence and align their vision with daily execution. It covers six critical components—Vision, People, Data, Issues, Process, and Traction—offering tools like V/TO, Accountability Charts, and Scorecards to ensure sustainable growth and measurable performance. Ideal for growing companies seeking structured management.

This advanced GEO-first tool performs comprehensive audits designed for the modern AI search landscape (ChatGPT, Gemini, Google AI Overviews). It moves beyond traditional SEO, assessing citability scoring, E-E-A-T, technical foundations, structured data validation, and brand authority signals. It provides actionable, client-ready reports to ensure maximum visibility in AI-driven search traffic.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

This skill provides SOC teams with a structured, multi-source workflow to investigate potential insider threats. It correlates data from SIEM, DLP, EDR, and HR feeds to detect data exfiltration attempts (via cloud, USB, email), unauthorized access patterns, and policy violations. It is crucial for building comprehensive investigation timelines, especially when handling departing employees or suspected data theft.

This playbook guides SOC analysts through the structured triage of security incidents. It ingests alerts from SIEM platforms (Splunk, Elastic), enriches data using threat intelligence (VirusTotal, AbuseIPDB), classifies the incident type, and calculates a severity score based on asset criticality and data sensitivity. It culminates in creating structured incident tickets and notifying the appropriate response teams via paging systems, ensuring a comprehensive and standardized incident response workflow.