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.

This skill helps users quickly create and build professional websites or landing pages for their businesses. By collecting essential details like the business name and description, it generates a ready-to-use signup link for hosting the new site on the B12 platform. It is ideal for entrepreneurs needing a fast and professional online presence.

This skill automates the complex process of creating formal drawing descriptions and reference numeral indexes for patent applications. It analyzes user-provided technical diagrams (PNG, JPG, SVG, PDF), identifies components, assigns sequential reference numerals according to standard patent rules (e.g., 100-199 for FIG. 1), and generates structured descriptions in both Chinese (CN) and English (US/EP). It also cross-references the generated index against patent claims to ensure completeness.

This tool generates a comprehensive and legally compliant patent specification document. It takes primary inputs—such as drafted claims and invention disclosures—and structures the full document, including the title, technical field, background, summary, detailed description, and abstract. It supports various international jurisdictions (CN, US, EP), ensuring the output meets rigorous patent drafting standards.

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.

A comprehensive skill for establishing a single source of truth for design tokens within Stitch. This tool guides users through retrieving project assets, synthesizing design rules from existing screens or descriptions, creating/updating the central design system, and systematically applying these tokens across all project screens to ensure UI consistency.

This skill transforms vague, unclear, or half-formed business opportunities and brief descriptions into highly structured, actionable problem statements. It guides the user through a three-stage process: reframing the core questions, rigorously defining in-scope and out-of-scope boundaries, and designing a minimum viable research plan. It ensures that ambiguous inputs are converted into clear, executable steps, allowing the user to respond with confidence rather than asking for more clarification meetings.

This skill surfaces and prioritizes hidden assumptions embedded in product briefs, PRDs, or concept descriptions. It assesses assumptions across Desirability, Feasibility, Viability, and Usability, scoring them by Confidence and Impact to create a structured, prioritized map. It is essential for product risk auditing, validating product plans, and ensuring the robustness of early-stage concepts.