Skill UI

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 skill helps establish and maintain a foundational 'Product Marketing Context' document. It serves as a single source of truth, capturing critical details like Ideal Customer Profile (ICP), core pain points, competitive landscape, and brand voice. Use this skill at the start of any new project to ensure consistent, deep, and accurate marketing messaging across all downstream tasks.

Guides product managers through choosing the right prioritization approach (RICE, ICE, Value/Effort, etc.) by asking adaptive questions about stage, team context, stakeholder needs, and decision cadence, then delivers tailored implementation guidance.

This advanced engine acts as the memory layer for C-suite advisory sessions. It loads, manages, and enriches detailed company context from local files, automatically detecting context staleness. Crucially, it enforces strict anonymization protocols before any external API calls, ensuring sensitive data (like revenue or names) is protected while providing deep, specific insights for high-level business strategy.

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.

This skill synthesizes a comprehensive Product Requirements Document (PRD) from the current conversation context and understanding of the codebase. It guides the user through structuring the problem statement, defining detailed user stories, outlining implementation decisions, and suggesting test strategies. The final PRD is formatted and submitted directly as a GitHub issue, ensuring a structured handover from discussion to development specification.

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.

A structured founder interview designed to gather the canonical, comprehensive data for a company, including financials, team structure, business metrics, and strategic risks. It generates a single, authoritative `company-context.md` file, serving as the single source of truth for all subsequent AI agents and strategic decision-making processes. Essential for initial setup or after major company life events like funding rounds or pivots.

This skill helps users create and maintain a comprehensive, foundational product marketing context document. It captures essential information on product overview, target audience, pain points, competitive landscape, and brand voice. By establishing this central document, users ensure all subsequent marketing and product tasks remain consistent and avoid repetitive foundational setup.

This skill transforms vague feature briefs or Product Requirement Documents (PRDs) into highly structured design handoff briefs. It ensures designers have comprehensive context before starting work, including the core user goal, emotional context, critical technical constraints, necessary edge cases, and clear scope boundaries, preventing misdirection and scope creep.

This skill generates a comprehensive discovery call brief designed for sales professionals. Users input prospect details and product info, and the AI outputs a structured guide including market research summaries, hypotheses about pain points, deep-dive questioning frameworks, and clear success criteria. It ensures every sales conversation is strategic, context-driven, and leads to a defined next step.

Generates comprehensive, audience-calibrated product roadmaps that tell a cohesive strategy story. Use this skill when planning product direction, presenting quarterly goals to leadership, or defining strategic initiatives. It structures the output using the Now/Next/Later framework, ensuring the narrative includes success metrics, strategic context, and explicit deprioritization rationale, adapting the detail level for executives, engineers, or customers.