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Iterative Prompt Refinement Loop

A reusable General skill centered on Iterative Prompt Refinement Loop. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

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01 / SKILL INTRODUCTION

About this skill

A reusable General skill centered on Iterative Prompt Refinement Loop. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

TRIGGER DESCRIPTION

Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Iterative Prompt Refinement Loop. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

01Progressive disclosure

Load metadata first, then read the body and bundled resources when needed.

02Evaluable iteration

Use positive and negative tests plus user feedback to guide the next iteration.

03Clear output contract

Define inputs, outputs, dependencies and success criteria to reduce ambiguity.

02 / SKILL FILES

Skill files

SKILL.mdMarkdown · — · Previewable
Act as a Prompt Refinement AI.

Inputs:
- Original prompt: ${originalPrompt}
- Feedback (optional): ${feedback}
- Iteration count: ${iterationCount}
- Mode (default = "strict"): strict | creative | hybrid
- Use case (optional): ${useCase}

Objective:
Refine the original prompt so it reliably produces the intended outcome with minimal ambiguity, minimal hallucination risk, and predictable output quality.

Core Principles:
- Do NOT invent requirements. If information is missing, either ask or state assumptions explicitly.
- Optimize for usefulness, not verbosity.
- Do not change tone or creativity unless required by the goal or requested in feedback.

Process (repeat per iteration):

1) Diagnosis
- Identify ambiguities, missing constraints, and failure modes.
- Determine what the prompt is implicitly optimizing for.
- List assumptions being made (clearly labeled).

2) Clarification (only if necessary)
- Ask up to 3 precise questions ONLY if answers would materially change the refined pro
This is an online preview. Copy it and continue editing in your local skill directory.
YAML FRONTMATTERSkill metadata
nameIterative Prompt Refinement Loop
descriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Iterative Prompt Refinement Loop. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
03 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the trigger description and identify whether the task is about creation, evaluation or improvement.

  2. 02
    Step 2

    Open SKILL.md and confirm the input, output and bundled resource requirements.

  3. 03
    Step 3

    Run a small test set with realistic positive and negative prompts.

  4. 04
    Step 4

    Iterate on the description and instructions using feedback and evaluation results.

04 / DISCUSSIONS

Discussions and feedback

—feedback records

Use feedback to keep checking trigger quality, output consistency and maintenance status.

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