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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+20 more

    Meta Prompt Architect

    1

    Two-layer generation: `scripts/generate.js` deterministically extracts structure from the user's task description; **you** refine the wording, variable names, and constraints.

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    About this skill

    Two-layer generation: scripts/generate.js deterministically extracts structure from the user's task description; you refine the wording, variable names, and constraints. The script never invents requirements — it surfaces what's missing.

    • The generated template is a scaffold, not the final prompt. Rewrite vague sections with the user's specifics before delivering.
    • Keep {{variable}} names stable between INPUT section and anywhere you reference them.
    • The CONSTRAINTS section's injection rules are load-bearing — do not remove them.
    • If warnings[] is non-empty, resolve each by asking the user or making an explicit, stated assumption.

    Requires Node 18+, zero dependencies.

    Exit 1 when the description is missing structure the user should supply (format, audience, inputs). JSON report on stdout.

    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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    Listed9 days ago
    Updated5 days ago

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