Works with the AI tools you already use

    CCCGGVW

    Engineering Judgment Architect for AI Coding Agents

    by Shandra

    Teaches AI coding agents to make software engineering decisions before coding, including layer placement, complexity control, refactor timing, and framework-change assessment.

    $9.99

    · or 50 credits

    30-day refund guarantee

    Secure checkout via Stripe

    About this skill

    Engineering Judgment Architect helps AI coding agents, developers, founders, students, and software teams avoid shallow code generation by applying real software engineering judgment before implementation. It guides agents to understand the problem, choose the proper layer, control complexity, avoid overengineering, avoid underengineering, detect refactor triggers, assess framework-change readiness, protect high-risk areas, and create engineering-minded implementation plans. The skill produces layer placement decisions, refactor readiness reports, framework migration assessments, code review checklists, decision records, and paste-ready prompts for Cursor, Claude Code, Codex CLI, OpenCode, Replit, and ChatGPT Agents. It is ideal for teaching coding agents when to keep code local, when to extract helpers, when to create domain or service layers, when to refactor, and when a project has outgrown its current architecture.

    How to install

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

    ai-coding
    claude-code
    code-organization
    code-review
    cursor
    developer-tools
    engineering-judgment
    maintainability

    Details

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Write Files
    Read Files

    Allowed Hosts

    https://promptbase.com/profile/shandra?via=mhq19

    File Scopes

    *.md
    *.txt
    *.json
    *.yaml
    *.yml
    README.md
    src/**
    app/**
    server/**
    api/**
    routes/**
    controllers/**
    components/**
    pages/**
    services/**
    models/**
    domain/**
    lib/**
    utils/**
    tests/**
    docs/**
    config/**
    package.json

    This skill uses file access to read user-provided code snippets, repository notes, architecture documents, README files, prompts, implementation plans, and project structure examples. It uses write access to create structured Markdown/text outputs such as engineering judgment reports, layer placement decisions, refactor readiness assessments, framework-change assessments, implementation plans, code review checklists, decision records, AI coding prompts, and SKILL.md files. Terminal access is optional and should only be enabled when the agent is expected to inspect repositories, run tests, or validate project structure. Browser or network access is only needed for external framework or migration documentation research. Environment variable access is not required, and secret values should never be exposed.

    Creator

    Shandra

    Shandra is a top-ranked AI prompt creator and premium agent skill builder with an established track record in the AI marketplace. She is recognized as a #1 Top Seller on PromptBase, where she has built a trusted catalog of specialized AI prompts and agent skills for creators, entrepreneurs, educators, marketers, digital product sellers, and business professionals. With over 3,500 AI products published, more than 3,400 sales, and 1,000+ five-star reviews, Shandra has become known for creating practical, polished, and commercially useful AI resources that help users save time, organize complex ideas, generate high-quality content, build digital products, and transform creative concepts into actionable workflows. Her Agensi store focuses on premium, ready-to-use agent skills designed for real-world productivity. Each skill is developed with clear instructions, structured workflows, professional formatting, practical use cases, setup guidance, examples, edge-case handling, and a strong emphasis on usability. Her work combines creative strategy, prompt engineering, documentation design, business thinking, and practical automation into reliable tools that users can apply immediately. Shandra’s mission is to create AI skills that feel professional, useful, and complete from the first use — not generic templates, but carefully built workflow systems that help users think better, work faster, and produce stronger results.

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