Master Product Planner
Turn vague ideas into product plans
Description
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
Related Skills
View all
Meta-AFP Prompt Architect
An engineered meta-prompt generation system v3.0 based on the AFP (Auto-Flow Prompt) methodology. Transforms vague needs into runnable, reusable, iterative, and assetable system-level prompts—running like an operating system, thinking like an expert team, and as stable as military-grade products. Integrates a complete methodology including five generations of prompt evolution, three dimensions of content alchemy, six orchestration algorithms, dual-core/multi-core confrontation, hard rules for independence constraints, five audit principles, regression/stress testing, a security moat (separator isolation, sandwich defense, meta-instruction declaration, black-box encapsulation), a prompt evolution officer self-evolution mechanism, and the AFP asset valuation model (Expertise × Structure × Frequency). Suitable for creating high-value Skills in fields such as academic writing, legal audit, business analysis, content production, sales copywriting, knowledge management, and intelligent agents.
Product Blueprint | Dual Maps
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.
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
Master Product Planner
Turn vague ideas into product plans
Description
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
Related Skills
View allMeta-AFP Prompt Architect
An engineered meta-prompt generation system v3.0 based on the AFP (Auto-Flow Prompt) methodology. Transforms vague needs into runnable, reusable, iterative, and assetable system-level prompts—running like an operating system, thinking like an expert team, and as stable as military-grade products. Integrates a complete methodology including five generations of prompt evolution, three dimensions of content alchemy, six orchestration algorithms, dual-core/multi-core confrontation, hard rules for independence constraints, five audit principles, regression/stress testing, a security moat (separator isolation, sandwich defense, meta-instruction declaration, black-box encapsulation), a prompt evolution officer self-evolution mechanism, and the AFP asset valuation model (Expertise × Structure × Frequency). Suitable for creating high-value Skills in fields such as academic writing, legal audit, business analysis, content production, sales copywriting, knowledge management, and intelligent agents.
Product Blueprint | Dual Maps
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.
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.