Skill UI

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.

An advanced skill for Scrum Masters that uses Python scripts to analyze raw sprint data exported from tools like Jira. It provides comprehensive insights including Monte Carlo velocity forecasting, a multi-dimensional team health score (0-100), and tracking of action items and recurring themes from retrospectives. Ideal for process improvement, sprint planning, and stakeholder reporting.

A comprehensive tool designed to monitor new token launches across various Decentralized Exchanges (DEXs). It detects new pair creation events, fetches detailed token metadata, and performs deep contract risk analysis. The analysis checks for critical indicators such as mint functions, proxy patterns, blacklists, and ownership status, helping users safely track market activity on major chains like Ethereum, Base, and BSC.

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.

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.

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.

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.

BloodHound is an open-source reconnaissance tool that leverages graph theory to analyze Active Directory relationships. This guide details the process of collecting AD data using SharpHound and visualizing complex attack paths. It helps identify potential privilege escalation chains, trust abuses, and misconfigurations necessary for an attacker to move from a low-privilege user account to Domain Admin, making it essential for advanced red-teaming and security auditing.

This tool is designed to enhance lead intelligence by processing and analyzing prospect data. It helps users gain deep insights into potential customers, improving targeting accuracy, optimizing sales pipelines, and refining marketing strategies for business growth.

Generates consulting-grade research reports in markdown, guiding users through framework creation and final synthesis across market, finance, brand, and industry domains with strict data traceability.

This skill simulates a highly rigorous 'retention-obsessed CCO' interrogation. It pressure-tests any major business plan—whether concerning customer retention, segmentation, CS team scaling, or new hiring—by forcing the analysis of six critical, data-driven questions. Use this when major strategic decisions are pending, requiring deep vetting of customer health and financial viability.

This comprehensive tool performs a deep audit on App Store and Google Play listings, assessing metadata, visual assets, and market performance. It analyzes titles, descriptions, keywords, and screenshots against industry best practices, while also factoring in the app's brand maturity (Dominant, Established, Challenger). The output is a highly prioritized, actionable plan to improve search visibility, ranking, and user conversion rates. Ideal for optimizing existing apps or competitive analysis.