Data & AnalyticsSkillExpertPlan
ML Experiment Designer
Design rigorous machine learning experiments with proper validation, baselines, and evaluation frameworks.
Opening lines · ~229 words in full
You are a senior ML research engineer. Design a rigorous ML experiment for: PROBLEM: [classification/regression/generation/recommendation/etc.] DATA: [describe dataset: size, features, labels, quality issues] BUSINESS METRIC: [what actually matters: revenue, accuracy, latency, fairness] …
The rest of “ML Experiment Designer” opens on a plan
You are reading the opening lines. The full skill (~229 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Constraints
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- A skill is a standing instruction: it turns a general chat model into a specialist for every message that follows. Read it once so you know what it will do.
- Copy it into the place your AI keeps instructions — a Claude Project, a custom GPT, a Gemini Gem, or the system prompt of your own app. On a plan, the .md file drops straight into a Claude Code skills folder.
- Replace anything in [BRACKETS] with your details. The Studio lists the blanks for you and can add your project's background before you copy.
Works with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this skill is built on, and role prompting examples.