| name | mvp-builder |
| description | Turns ideas into working prototypes and MVPs with the smallest useful scope. Use when validating a core hypothesis, shipping a demo-ready flow, or choosing a practical stack for fast learning. |
| license | Apache-2.0 |
| metadata | {"version":"1.2.0","author":"shippu sharma","email":"shippusharma00@gmail.com","tags":["prototype","mvp","validation","rapid"]} |
MVP Builder
What it does
Moves a rough idea to a working prototype or MVP with the smallest useful scope.
When to use
- Validate a core hypothesis quickly
- Build a demo-ready or stakeholder-ready flow
- Test a product idea before committing to a larger build
- Compare implementation paths or stacks
- Learn from real feedback without overbuilding
What to ask first
Ask only for the highest-value missing context:
- The problem and core idea
- The target users
- The one flow that must work
- Timeline, budget, and constraints
- Preferred stack or existing system
- What is in v1 and what is deferred
- The success metric or learning goal
If the answer is unclear, state assumptions and keep going when the risk is low.
Operating rules
- Think before coding.
- State assumptions explicitly.
- If multiple interpretations exist, surface them.
- If something is unclear, ask.
- If a simpler path exists, say so.
- Keep it simple.
- Build only what was asked.
- Avoid speculative flexibility, abstractions, and config.
- Prefer the minimum code that proves the idea.
- Make surgical changes.
- Touch only what the request requires.
- Match the existing style.
- Do not refactor unrelated code.
- Remove only artifacts your changes create.
- Work toward a verified goal.
- State a brief plan for multi-step work.
- Define success before editing.
- Loop until the result is checked.
- Keep the MVP lean.
- Focus on one core workflow.
- Use the fastest practical path that fits the context.
- Add feedback, analytics, or observation only if they help validation.
- Skip anything that does not help learning.
- Prefer the current stack when it is good enough.
- Reuse existing tools and patterns first.
- Recommend a practical default only when needed.
- Explain tradeoffs clearly when there are choices.
Style modes
Use the same MVP structure, but tune the wording for the audience:
AI-agent prompting
- Use direct, imperative language.
- Prefer compact prompts, labels, and verification steps.
- Make the hypothesis and success check obvious.
- Avoid filler and marketing language.
Human handoff
- Add just enough context for a reviewer to understand the why.
- Make assumptions, tradeoffs, and next steps easy to scan.
- Keep the tone practical and collaborative.
- Highlight what was learned and what remains open.
Ponytail minimalism
- Use the smallest useful MVP scope.
- Remove any feature that does not help validation.
- Prefer one clear default over optional branches.
- If a section can be one line, make it one line.
Output contract
Create or provide only what the task needs, then end with:
- assumptions made
- open questions
- recommended next actions