Product Blueprint | Dual Maps
From vague needs to review-ready architecture
Description
Turn product ideas, PRDs, meeting notes, or documentation of an existing system into cross-validated product information architecture, core user flows, system context, and data flow diagrams. It also produces a product-to-system capability map, key risks, and open decisions. Ideal for product managers, founders, solution architects, and engineering teams conducting requirements reviews, planning SaaS/AI products, designing complex back-office systems, and modernizing existing systems. Supports Chinese and English input, prioritizes generating shareable responsive web pages, and preserves editable Mermaid source code.
Related Skills
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Product Strategy One-Pager
Building a product is like driving in the fog—what do users want? Is the team right? Should we go global? Which metric to optimize first? Every decision gambles the team's time and investors' money. Feed it your product info and data, and it uses ByteDance-style product methodology to help you clarify: What information and needs is your product matching? Are your current resources solving 'problems that will matter in three years' or 'urgent matters this month'? Is your team's talent density sufficient? What A/B tests can validate your core assumptions? ✨ Core Capabilities 1. Information match efficiency diagnosis: What is your product essentially matching? Where are the friction points? 2. Delayed gratification assessment: Distinguish 'important in three years' vs 'urgent this month', provide resource reallocation recommendations 3. Talent density and team strategy: Core role talent assessment + Context/Control boundary recommendations 4. A/B test design: Turn your gut assumptions into verifiable experimental plans 5. Global feasibility assessment: Language, culture, compliance, and payment four-dimensional check 📱 Use Cases - Early-stage startup teams making directional decisions - Product managers' quarterly reviews and strategy adjustments - Investors quickly evaluating a project's product logic - Developers building side projects validating ideas It doesn't give you a standard answer—it gives you a framework to ask the right questions.
Master Product Planner
Based on the AFP architecture, this seven-dimensional product planning system integrates expertise from business, product, technology, design, finance, production, and operations to turn vague ideas into actionable product plans. Core capabilities: 1. Five-stage workflow: idea incubation → seven-dimensional expert evaluation (principles, methods, tools, practices) → market and competitive analysis → interactive selection → in-depth planning 2. Anti-AI hallucination engine: six defense lines (separating facts from inference, traceable sources, confidence labeling, locked expert boundaries, uncertainty statements, conflict marking) 3. Visual illustration: leverages the Create image skill to automatically embed graphics into the planning document 4. Three-core adversarial engine: execution core + audit core + user alignment core, with B-core audit weight set to Max 5. Pull interaction mode: AI proactively pulls key variables; the user only needs to provide materials or confirm choices Use cases: Transform pain points, ideas, or challenges into product plans, especially suitable for 0-to-1 planning of complex products (hardware-software integrated, platform-based, industry vertical). Trigger words: product planning, product plan, product concept, 0-to-1, MVP definition, product evaluation
Product Logic Architect
This skill helps product managers and business analysts reverse engineer detailed product requirements document (PRD) logic from front-end page descriptions or interaction descriptions. It converts visual front-end information into structured backend business logic, focusing on data flow, business rules, and state changes. As a senior product logic architect, this skill deeply explores the business essence behind the page. It helps you sort out the page's commercial positioning in the product chain, user entry prerequisites, and derives backend data field structures based on front-end elements. It also clearly defines how user interactions trigger business state transitions and elaborates on core business rules such as data validation, calculation distribution, concurrent processing, and anti-fraud. To ensure rigorous product logic, this skill exhaustively considers the invisible "underwater logic" on front-end pages, including exception handling, network delay handling, and permission checks. The final output PRD logic section covers exception boundaries and degradation strategies, such as empty state handling, boundary limits, and responses to extreme exceptions. You only need to provide a front-end page description, interaction flow, or screenshot, and this skill generates a clear, logically rigorous PRD core content, greatly improving product documentation efficiency.
Product Blueprint | Dual Maps
From vague needs to review-ready architecture
Description
Turn product ideas, PRDs, meeting notes, or documentation of an existing system into cross-validated product information architecture, core user flows, system context, and data flow diagrams. It also produces a product-to-system capability map, key risks, and open decisions. Ideal for product managers, founders, solution architects, and engineering teams conducting requirements reviews, planning SaaS/AI products, designing complex back-office systems, and modernizing existing systems. Supports Chinese and English input, prioritizes generating shareable responsive web pages, and preserves editable Mermaid source code.
Related Skills
View allProduct Strategy One-Pager
Building a product is like driving in the fog—what do users want? Is the team right? Should we go global? Which metric to optimize first? Every decision gambles the team's time and investors' money. Feed it your product info and data, and it uses ByteDance-style product methodology to help you clarify: What information and needs is your product matching? Are your current resources solving 'problems that will matter in three years' or 'urgent matters this month'? Is your team's talent density sufficient? What A/B tests can validate your core assumptions? ✨ Core Capabilities 1. Information match efficiency diagnosis: What is your product essentially matching? Where are the friction points? 2. Delayed gratification assessment: Distinguish 'important in three years' vs 'urgent this month', provide resource reallocation recommendations 3. Talent density and team strategy: Core role talent assessment + Context/Control boundary recommendations 4. A/B test design: Turn your gut assumptions into verifiable experimental plans 5. Global feasibility assessment: Language, culture, compliance, and payment four-dimensional check 📱 Use Cases - Early-stage startup teams making directional decisions - Product managers' quarterly reviews and strategy adjustments - Investors quickly evaluating a project's product logic - Developers building side projects validating ideas It doesn't give you a standard answer—it gives you a framework to ask the right questions.
Master Product Planner
Based on the AFP architecture, this seven-dimensional product planning system integrates expertise from business, product, technology, design, finance, production, and operations to turn vague ideas into actionable product plans. Core capabilities: 1. Five-stage workflow: idea incubation → seven-dimensional expert evaluation (principles, methods, tools, practices) → market and competitive analysis → interactive selection → in-depth planning 2. Anti-AI hallucination engine: six defense lines (separating facts from inference, traceable sources, confidence labeling, locked expert boundaries, uncertainty statements, conflict marking) 3. Visual illustration: leverages the Create image skill to automatically embed graphics into the planning document 4. Three-core adversarial engine: execution core + audit core + user alignment core, with B-core audit weight set to Max 5. Pull interaction mode: AI proactively pulls key variables; the user only needs to provide materials or confirm choices Use cases: Transform pain points, ideas, or challenges into product plans, especially suitable for 0-to-1 planning of complex products (hardware-software integrated, platform-based, industry vertical). Trigger words: product planning, product plan, product concept, 0-to-1, MVP definition, product evaluation
Product Logic Architect
This skill helps product managers and business analysts reverse engineer detailed product requirements document (PRD) logic from front-end page descriptions or interaction descriptions. It converts visual front-end information into structured backend business logic, focusing on data flow, business rules, and state changes. As a senior product logic architect, this skill deeply explores the business essence behind the page. It helps you sort out the page's commercial positioning in the product chain, user entry prerequisites, and derives backend data field structures based on front-end elements. It also clearly defines how user interactions trigger business state transitions and elaborates on core business rules such as data validation, calculation distribution, concurrent processing, and anti-fraud. To ensure rigorous product logic, this skill exhaustively considers the invisible "underwater logic" on front-end pages, including exception handling, network delay handling, and permission checks. The final output PRD logic section covers exception boundaries and degradation strategies, such as empty state handling, boundary limits, and responses to extreme exceptions. You only need to provide a front-end page description, interaction flow, or screenshot, and this skill generates a clear, logically rigorous PRD core content, greatly improving product documentation efficiency.
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