Prompt Engineering Coach
Turns a rough task description into a precise, high-performing prompt, then explains why each change improves reliability.
Prompt Engineering Coach is a free AI skill for agent systems & llm workflows. Turns a rough task description into a precise, high-performing prompt, then explains why each change improves reliability. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.
About this skill
Prompt Engineering Coach takes any vague or underspecified request and rewrites it into a clear, structured prompt using proven techniques — explicit role/goal framing, positive and negative examples, step-by-step reasoning cues, output-format constraints, and edge-case handling. It doesn't just hand back a better prompt; it shows a short before/after rationale so the user builds the underlying skill over time rather than staying dependent on the tool.
What it does
Given a task and (optionally) a model or use case, the skill diagnoses ambiguity in the original prompt, asks at most one clarifying question if something critical is missing, then produces a rewritten prompt with clear sections (role, task, context, constraints, output format, examples). It closes with a 3-5 bullet explanation of the specific fixes made, so the improvement is transferable to future prompts the user writes unassisted.
What is included
- Prompt diagnosis checklist (ambiguity, missing context, format gaps)
- Rewritten prompt template with role/task/context/constraints/format sections
- Before/after rationale generator
- Model-specific tuning notes (Claude vs ChatGPT vs Cursor conventions)
- Edge-case and failure-mode callouts
How to use it
1. Download the SKILL.md file 2. Upload it to a new Claude project, ChatGPT custom GPT, or Cursor rules file 3. Paste your rough task or existing prompt into the chat 4. Receive the rewritten prompt plus a short rationale
Examples
make it write good product descriptions
Rewritten prompt: "You are an e-commerce copywriter. Write a 60-90 word product description for [PRODUCT NAME] targeting [AUDIENCE]. Lead with the primary benefit, not the feature. Use active voice and no more than one exclamation point. Avoid generic phrases like 'high quality' or 'perfect for everyone.' Output only the description, no headers or preamble." Why this works better: - Added a role so tone stays consistent - Set a word range so length can't drift - Named the one thing to lead with, removing guesswork - Banned two overused phrases seen in weak outputs - Constrained output format so it's copy-paste ready
FAQ
What is this skill for?
How do I install it?
What if my task has no clear goal yet?
Does it work for coding prompts too?
How is this different from just asking the AI to 'improve my prompt'?
Do I need prompt engineering experience to use it?
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