ia-refine-prompt

Refine vague prompts into structured AI instructions with validation.

30|3|Updated Feb 22, 2026

Search Tags:#prompt engineering #validation #system prompt #output format #instruction design #prompt refinement

Ready to run

npx skills add https://github.com/iliaal/whetstone --skill ia-refine-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ia-refine-prompt
Source: https://github.com/iliaal/whetstone/tree/main/plugins/whetstone/skills/ia-refine-prompt
Command: npx skills add https://github.com/iliaal/whetstone --skill ia-refine-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users convert vague or under-specified prompts into clear, structured AI instructions that are easier to execute reliably.

Core Features & Use Cases

Prompt structure & specificity: Ensures task, constraints, context, examples, and edge cases are explicitly addressed.
Validation-first rewriting: Rewrites the prompt and then checks it against the assessment table to remove gaps.
Controlled output contract: Enforces a single, unambiguous output format and avoids invention by requiring missing information to be clarified.
Use cases: Improve system prompts, sharpen agent instructions, refine prompts for better code generation, and standardize request quality across recurring tasks.

Quick Start

Ask the AI to refine your prompt for a “summarization task” so the output becomes precise, structured, and includes an explicit format.

Frequently Asked Questions about ia-refine-prompt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I refine vague prompts into precise AI instructions?▼

To refine vague prompts, this Skill applies an assessment-then-rewrite-then-validate workflow to add explicit constraints, context, and examples, ensuring reliable AI execution and reducing ambiguity in outcomes.

What is prompt validation and how does it improve output format?▼

Prompt validation is a rewriting mechanism that checks a refined prompt against an assessment table to close gaps and enforce a single, unambiguous output format, preventing the AI from inventing missing information.

How do I structure a system prompt for code generation tasks?▼

Structuring a system prompt for code generation requires specifying task constraints, context, and edge cases, which this Skill refines through validation-first rewriting to sharpen requests and improve execution reliability.

What's the best way to standardize request quality across recurring AI tasks?▼

Standardizing request quality across recurring tasks is best achieved by refining prompts into precise instructions with strict anti-invention rules and a controlled output contract, ensuring consistent results every time.

Why does my AI output vary when using under-specified instructions?▼

AI output varies with under-specified instructions due to ambiguity in task and constraints, which this Skill resolves by rewriting your prompt to explicitly address edge cases and enforce a well-defined output format.