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    prompt-spec-engineer (support Auto rewrite prompt)

    by Roy Yuen

    Turn vague prompts into professional task specifications, optimized prompts, and verification test suites.

    Updated May 2026
    Security scanned
    One-time purchase

    $5

    One-time purchase · Own forever

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

    Included in download

    • Convert rough drafts into professional-grade LLM instructions
    • Generate structured JSON output contracts for consistent API responses
    • file_write automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    Optimized Prompt: [System: AI Audit Expert] Act as a consultant for [User]. Use provided intake form to identify 3 workflow pain points. 
Verification Plan: 
1. Source Grounding: Does output cite intake form? 
2. JSON Contract: Validate keys [summary, risks, steps].
Test Cases generated: 5.

    About This Skill

    What it does

    The Prompt Spec Engineer is a high-performance utility designed for developers, agencies, and AI builders who need to move beyond "vibes-based" prompting. It transforms vague, bloated, or noisy prompts into rigorous, outcome-first task specifications and optimized prompt packs.

    Instead of relying on fuzzy instructions, this skill applies an engineering mindset to prompt design. It diagnoses prompt quality, strips low-signal filler, identifies missing requirements, and generates a full suite of deployment artifacts including Markdown specs, JSON contracts, and YAML orchestration flows.

    Supported Tools & Frameworks

    • Mesh Flow: Generates project.yaml for orchestration.
    • CLI Integration: Supports structured JSON intake and automated directory-based output.
    • Multi-Format Output: Produces Markdown, JSON, CSV (test cases/checklists), and YAML.

    Why use this skill?

    Prompting is often treated as a trial-and-error process. This skill automates the "boring part" of prompt engineering—validation, test case generation, and contract definition—ensuring your prompts are production-ready and verifiable. Unlike manual prompting, it is deterministic and evidence-based, citing specific source material for every constraint and requirement it generates.

    Output

    You receive a complete "Prompt Pack" comprising an optimized prompt, a functional specification, a verification plan with test cases, and a prompt-review checklist to ensure high-fidelity outputs from your target LLM.

    Use Cases

    • Convert rough drafts into professional-grade LLM instructions
    • Generate structured JSON output contracts for consistent API responses
    • Create automated test cases and review checklists for prompt QA
    • Scaffold Mesh Flow project.yaml files for AI agent orchestration
    • Audit existing prompts for noise, vague language, and missing constraints

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    Security Scanned

    Passed automated security review

    Permissions

    Write Files

    File Scopes

    prompt-spec-engineer/**

    Tags

    prompt-engineering
    agent-orchestration
    ai-ops
    specification
    automation

    Creator

    Roy Yuen

    Frequently Asked Questions

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