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Shared prompt

now recheck all the code that you written and make it clean

57structure
Partial

About half the parts are present. The gaps below are the ones worth filling.

This counts which parts of a prompt are present. It can’t read whether what was written inside them is any good.

Marked in the margin

Role / persona30

Open with a persona, e.g. "You are a senior backend engineer."Cursor, Devin and Claude prompts all open by establishing an explicit role.

Task clarity55

Lead with one explicit action verb and object, e.g. "Refactor this function to…".Strong agent prompts state a single, unambiguous primary objective.

Context50

Front-load all context the model needs: inputs, audience, goal, and constraints — so it can answer in one shot.Front-loading context removes the multi-turn 'context setting' you want to avoid.

Constraints100
Output format30

Specify the exact shape, e.g. "Return JSON: { title, steps[] }" or "Use a markdown table.".Production tools define a strict output contract so responses are parseable.

Examples (few-shot)50

Add one input→output example to anchor tone, format, and edge handling.Few-shot examples are the cheapest reliable accuracy boost.

Specificity100

The prompt

now recheck all the code that you written and make it clean i dont want any dead code or not used code to get committed
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