Prompt Engineer Toolkit — Production Prompt Engineering

The complete lifecycle for production prompts: design patterns that work, testing frameworks that catch regressions, versioning systems that track changes, and evaluation rubrics that replace subjective "looks good" with measurable quality. This treats prompts as production code with the same rigor — not clever tricks.

Tags: prompt engineering, chain-of-thought, few-shot, evaluation, testing, prompt versioning

Core Capabilities

• Prompt patterns — 6-layer system-prompt architecture, chain-of-thought (standard, scratchpad, self-consistency), few-shot design + dynamic selection, JSON/section output structuring, decomposition pipelines, calibration (temperature + confidence levels).
• Testing framework — test-case structure, suite composition (40/30/15/15), a 5-dimension automated scoring rubric with a weighted formula, and a regression-testing protocol.
• Versioning — version-control layout, changelog format with rationale/baselines/rollback, and a prompt-diff risk checklist.
• Failure-mode catalog — instruction override, format drift, sycophancy, verbosity, hallucination, anchoring, lost-in-the-middle, each with fixes.
• Lifecycle workflows — design a prompt, debug a degraded prompt, migrate a prompt to a new model.

When to Use

• Designing production prompts or building a prompt library.
• Running A/B tests or regression tests on prompt variants.
• Versioning prompts and gating changes on test scores.
• Debugging a degraded prompt or migrating prompts across models.