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    prompt-spec-engineer

    by Roy Yuen

    Transform raw prompts into professional task specifications, optimized code, and QA test suites for AI builders.

    Updated May 2026
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    One-time purchase

    $6

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    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Convert vague agency ideas into structured, repeatable AI task specs
    • Generate test cases and checklists to validate AI prompt performance
    • file_write automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    Prompt Pack Generated:
    - Optimized Prompt: [Task: Audit, Constraint: Low-Hype, Tool: Python]
    - Review Checklist: 12 criteria for client-ready output.
    - Test Cases: Foundational, Edge, and Failure test scenarios.
    - Mesh Flow: project.yaml defined with 3 nodes and verify_json gate.

    About This Skill

    Professional Prompt Engineering for Commercial Workflows

    Turn vague, bloated, or low-signal prompts into production-grade task specifications. This skill is designed for agencies, founders, and AI builders who need to move beyond "vibes-based" prompting and into structured, verifiable AI engineering. It solves the problem of prompt decay and "hallucinated requirements" by forcing a deterministic, evidence-based approach to prompt design.

    What it does

    The Prompt Spec Engineer takes your raw ideas or messy draft prompts and decomposes them into a complete prompt pack. It analyzes noise ratio, identifies missing requirements without inventing facts, and generates a functional specification that includes output contracts and verification plans. It doesn't just rewrite your prompt; it builds a development roadmap for it.

    Key Features

    • Noise Reduction: Automatically strips low-signal filler like "you are a world-class expert" or "think deeply" in favor of concrete constraints.
    • Multi-Format Artifacts: Generates optimized prompts (.md), review checklists (.csv), test cases (.csv), and Mesh Flow orchestration files (.yaml).
    • Safety & Compliance: Explicitly flags risk tiers and identifies unsupported claims in your draft prompt.
    • Structured Intake: Includes a rewrite helper that converts a simple request into a comprehensive metadata profile for repeatable engineering.

    Why it's better than manual prompting

    While an AI can "clean up" a prompt, it often adds creative fluff that increases cost or model confusion. This skill uses a strict, outcome-first framework ensuring every instruction is grounded in your specific business context and source material. It produces the technical documentation needed to maintain prompts as code in a production environment.

    📖 Learn more: Best Testing & QA Skills for Claude Code →

    Use Cases

    • Convert vague agency ideas into structured, repeatable AI task specs
    • Generate test cases and checklists to validate AI prompt performance
    • Strip low-signal filler and 'noise' from legacy prompts to reduce cost
    • Create Mesh Flow project.yaml files for complex agentic orchestrations

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    Permissions

    Write Files

    File Scopes

    prompt-spec-engineer-marketplace/**

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