prompt-spec-engineer (support Auto rewrite prompt)

    2

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

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    prompt-spec-engineer (support Auto rewrite prompt)

    Example session with this skill installed

    Create an optimized prompt and verification plan for an AI automation agency consultant to perform client audits using draft notes and tool lists.

    • Read your context and instructions
    • Compiled the prompt-spec-engineer support auto

    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.

    Connects securely to your tools. The creator never sees your data.

    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.

    • Does not call external APIs or LLMs.
    • Requires manual integration for non-CLI agents.
    • Deterministic logic based on structured input.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill eliminates "vibes-based" prompting by turning vague ideas into rigorous task specifications, JSON contracts, and YAML flows, ensuring your AI agents perform with high-performance engineering standards.

    Each run generates a complete "Prompt Pack," which includes an optimized system prompt, a functional specification document, a verification test suite, and a checklist for quality assurance.

    The skill is built for modern AI workflows, featuring native support for Mesh Flow (project.yaml), CLI-based JSON intake, and multi-format outputs like Markdown, YAML, and CSV.

    Yes, while it works for individual prompt refinement, it is specifically designed to handle complex orchestration flows, making it ideal for developers building multi-agent systems and AI-powered applications.

    By defining strict JSON schemas and verification test cases alongside the prompt, the skill provides a deterministic framework to validate agent performance and reduce unpredictable responses.

    New in Agents & Orchestration