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agentsop-prompt-compilation

The compile-readiness gate for prompt auto-optimization. Decide whether you have earned the right to run an optimizer (DSPy MIPROv2 / GEPA / BootstrapFewShot) before spending compute. Two preconditions only — a real metric, and enough examples for the optimizer you picked. Garbage metric in, garbage prompt out. Pick the optimizer by data scale; GEPA inverts the scale assumption (~10 examples + textual feedback).

skills/agentsop-prompt-compilation/SKILL.md

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Oct 24, 2026
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# prompt-compilation — The Compile-Readiness Gate

> "It's unproductive to launch optimization runs using a poorly designed program or a bad metric."
> — DSPy core team [dspy.ai/learn/optimization/overview/]

> "Compile when you can measure. The optimizer maximizes your metric — garbage metric in, garbage prompt out."
> — this skill's operating principle (synthesized from the line above + DSPy Case C)

This is an **enhancement-overlay decision skill**. It answers exactly one question the broad `[[dspy]]` library
skill buries under API surface: **have you earned the right to run an optimizer yet, and which one?** It produces a
go / no-go gate plus an optimizer pick. It defers *every* implementation detail — Signature syntax, module choice,
`compile()` calls, save/deploy — to `[[dspy]]` and the full workflow in `[[agentsop-dspy]]`. It defers metric *construction*
to `[[agentsop-metric-design]]`; this skill only checks the metric *exists and is validated*, then uses it as the gate.