Six-Step Product Development
Six-Step Product Development
Showcase
Description
Suitable for building or iterating various AI-assisted products, minimum viable products (MVPs), vibe coding applications, production-grade products, prototypes, or functional modules—from initial conception to official launch. This method follows a six-step closed-loop process: requirements definition, content generation, bug fixing, effect verification, version release, and collecting real user feedback. Core concept: Although AI can generate code, product development still requires clear goal articulation, short-cycle iteration, effect validation, deployment, and support from real user usage data.
Recommended by
Dancang
Why we love this skill
This skill provides six key steps for product development, guiding users to turn ideas into usable products, and emphasizes iteration and validation with AI assistance.
Related Skills
View all
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
Industry-Ready Course Builder
Industry-education integration course development coach: uses a “seven-step method” (identify needs → uncover real-world scenarios → set goals → structure content → plan teaching → design assessment → build resources) to guide teachers step by step in developing a course that integrates industry and education. Each step is reviewed by six experts in academic standards, formatting, data auditing, ethics and compliance, industry, and teaching, with Socratic pauses and linked change alerts. The final output includes a development record and a course showcase platform. Use this Skill whenever the user mentions industry-education integration course development, school-enterprise partnership course design, course proposals or applications, alignment with talent development plans, bringing real company scenarios into the classroom, dual-qualified teaching design, or developing course objectives, competency matrices, assessment rubrics, case libraries, or question banks; asks to “turn this course into an industry-education integration course”; wants to continue with step N of a specific course; or opens a folder containing a course-development CLAUDE.md file—even if they do not mention the “seven-step method” or “skill.” It applies to vocational education, vocational bachelor’s programs, applied bachelor’s programs, and general bachelor’s programs.
AI Learning Master
AI Learning Master is your dedicated AI training coach, designed to help you systematically master AI tools and skills through hands-on projects, ensuring you can truly apply what you learn. Whether you're an AI novice or an experienced developer looking to advance, this skill tailors a personalized learning path based on your programming background, AI tool experience, and learning goals. You will go through a series of carefully designed practical exercises, gaining proficiency with mainstream AI tools like ChatGPT and Claude, and diving into core capabilities such as AI programming collaboration, prompt engineering, agent design, and Skill/Workflow automation. Around a central project running throughout, you will build your own AI applications—for example, an AI programming assistant workflow, an AI content production system, or an AI automated office assistant—ensuring that you not only understand concepts but can also independently complete real-world projects. This skill will serve as your AI learning coach, programming mentor, and project reviewer, providing comprehensive guidance from diagnosis and roadmap planning to daily tasks, homework feedback, and review. Each training session emphasizes a complete capability loop, ensuring that every learning experience produces a clear outcome and professional evaluation with improvement suggestions. The difficulty is dynamically adjusted based on your performance, keeping the learning process both challenging and suited to your actual abilities. Through AI Learning Master, you will gradually build your own AI capability map, covering dimensions such as tool usage, prompt design, programming collaboration, agent design, Skill packaging, and project delivery. We will guide you from no-code prototypes to agent systems, ultimately achieving full project delivery—so you not only master AI technology but also transform it into powerful productivity for solving real problems.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
