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Prompting

Meta-prompting standard library for generating, optimizing, and composing prompts programmatically via Standards, Handlebars Templates, and Tools; output is always a prompt to use elsewhere, not final content. USE WHEN meta-prompting, template generation, prompt optimization, prompt engineering, write a prompt, create system prompt, Handlebars template. NOT FOR generating final content (use the appropriate domain skill), or any eval: judge prompts, rubrics, scoring, grading or comparing outputs all run through Assay, the one eval system.

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# Prompting - Meta-Prompting & Template System

**Contents:** Ideal State · Anti-criteria · Intent Routing · Data & Config · Gotchas · Examples · References

Generates, optimizes, and composes prompts programmatically. It's the standard library for prompt engineering — other skills call it when they need to build or improve a prompt. The output is always a prompt to be used elsewhere, never the final content itself.

**Philosophy:** Prompts that write prompts. Structure is code, content is data. Meta-prompting enables dynamic composition where the same template with different data generates specialized agents, workflows, and evaluation frameworks.

## Ideal State

- Every prompt this library generates or optimizes articulates the ideal state, not the procedure: WHAT done looks like as testable outcomes, the CONSTRAINTS, and the high-quality TOOLS available, with the specificity moved to the outcome so the prompt is more precise, not vaguer.
- In every prompt this library generates or optimizes, the only HOW that survives is the four keep-classes (safety-gate, verified-gotcha, tool-contract, output-format-contract); every other procedural line failed the test of whether a smarter model would make it unnecessary. Deterministic tools (`*.ts`) are exempt. The full standard is `Standards.md` § Ideal-State Prompting.
- A prompt composed from data keeps structure as code and content as data: a Handlebars template under `Templates/` rendered with a data object, or from a .yaml or .json file, through `RenderTemplate.ts`.
- A reusable prompt captures the supplied intent, constraints, and output contract; its output contract can guide the intended downstream task; and it was tested before it was declared ready.