Skill UI

A comprehensive toolkit for modern product management. It guides users through essential workflows, including feature prioritization using RICE, deep customer discovery analysis from interviews, and structured PRD creation. Ideal for defining product strategy, synthesizing user research, and documenting requirements from concept to launch.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

Automate Stripe payment, customer, invoice, subscription, and refund workflows through Composio's Stripe toolkit via Rube MCP, keeping schema discovery up to date by searching tools before issuing commands.

Helps product teams structure customer discovery interviews by clarifying goals, segments, constraints, and adaptive methods so each session yields actionable insights instead of confirmation bias or surface-level feedback.

Guides PMs through a full discovery cycle—from framing a hypothesis to validating solutions—by combining problem definition, customer interviews, synthesis, and experiments so teams can test assumptions before investing in build work.

An expert skill for systematically finding, qualifying, and building highly targeted prospect lists. It supports diverse motions including B2B SaaS, general B2B companies, local small businesses, and early-stage demand-signal discovery. The process guides users through defining the Ideal Customer Profile (ICP), sourcing candidates, rigorously qualifying them, and prioritizing the best targets for outreach.

This skill generates a comprehensive customer journey map, detailing the entire customer experience from initial awareness through to advocacy. It identifies key stages, customer actions, emotional highs and lows, critical pain points, and actionable opportunities for product improvement or service enhancement. Ideal for UX research, product discovery, and cross-functional alignment.

A comprehensive framework for structuring user interviews, customer discovery, or Jobs-to-be-Done (JTBD) research. This guide provides structured steps for screener creation, deep behavioral exploration (focusing on past actions, not future predictions), and systematic synthesis/pattern detection, ensuring the gathering of genuine, actionable insights.