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    Gnosis Skill Poc Builder

    2

    Builds and documents the smallest possible POC or prototype to validate requirements before development starts. Part of the Gnosis Technology Product Suite

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    See it in action

    You say

    Validate if our sorting algorithm can handle 10k rows in the browser. I need a POC to show the team.

    Your agent does

    I will build a TypeScript/React scaffold using Vite to test this technical feasibility. A Figma prototype cannot validate performance.

    Plan:

    1. Scaffold local React environment.
    2. Implement sorting logic with synthetic 10k row dataset.
    3. Generate POC-004 brief documenting performance metrics.

    What you get

    Determine if a technical risk requires code or just a visual mock.Scaffold a React environment for rapid interaction testing.Generate clickable Figma/Canva prototypes for user testing.Document POC results for go/no-go stakeholder decisions.

    About this skill

    The problem

    Building full features before validating them creates waste. Teams often build high-fidelity designs to test technical logic, or code complex backends just to test a user flow.

    What it does

    • Identifies the core question: isolates whether you need to test technical feasibility or user experience.
    • Selects the correct fidelity: chooses between a Figma click-through, a Canva prototype, or a local TypeScript/React scaffold based on your goals.
    • Automates scaffolding: generates Vite/React boilerplate or structured design specs ready for implementation.
    • Produces decision-ready documentation: creates a POC brief with success criteria, technical limitations, and specific go/no-go questions for stakeholders.

    Frameworks & tools

    TypeScript, React, Vite, Figma, and Canva. Uses MCP connectors for direct file generation where available; otherwise provides detailed build specs.

    Why this beats prompting it yourself

    Standard LLMs often Default to coding everything or suggest over-engineered solutions. This skill enforces a "minimum fidelity" rule that prevents you from wasting hours on CSS when you only need to prove an algorithm works. It ensures every demo ends with a concrete business decision rather than vague feedback.

    Use cases

    • Validating a complex state-driven UI logic using a local React scaffold.
    • Creating a clickable Figma prototype to test navigation with non-technical stakeholders.
    • Proving a technical integration is possible before committing it to the main sprint.
    • Running a structured stakeholder demo with a pre-written presentation script and feedback log.

    Known limitations

    Does not build backend services or persistent databases. Only supports Affinity for static asset generation, not for interactive prototyping.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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