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NicktheQuickFTW
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prompt-refiner

Refine user prompts into structured XML-like instructions with context and constraints.

Updated Aug 27, 2026
Search Tags:#workflow#prompt engineering#AI prompts#structured prompts#FlexTime#refine prompts#schedule_id
One-click install
npx skills add https://github.com/NicktheQuickFTW/FlexTime --skill prompt-refiner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-refiner
Source: https://github.com/NicktheQuickFTW/FlexTime/tree/main/.factory/skills/prompt-refiner
Command: npx skills add https://github.com/NicktheQuickFTW/FlexTime --skill prompt-refiner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps refine vague prompts into precise, actionable instructions to improve AI outputs.

Core Features & Use Cases

  • Structured prompt refinement using XML-like tags (<context>, <task>, <requirements>, <constraints>, <examples>)
  • FlexTime-context aware prompts (schedule_id, orchestration stages, HELiiX and FlexTime brand names)
  • Enhanced reasoning prompts with edge-case considerations and explicit decision explanations
  • Generates ready-to-submit, formatted prompts for AI assistants

Quick Start

Provide your draft prompt and any constraints, and request a refined prompt. For example: Draft: 'Summarize this document.' Constraints: 'Keep under 200 words, use bullet points.' Then ask: 'Refine the prompt to include a concise summary task with bullet output and action items.' The skill will return a structured prompt with sections.

Frequently Asked Questions about prompt-refiner

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

FAQPage Schema
How do I refine vague AI prompts into structured instructions?▼

What is structured prompt engineering using XML-like tags? Structured prompt engineering organizes instructions into XML-like sections such as context, task, requirements, constraints, and examples to enforce strict formatting and improve multi-step AI reasoning accuracy.

How do I format AI prompts for multi-step reasoning and strict formatting?▼

You format AI prompts by applying a structured XML-like template with sections for context, task, requirements, constraints, and examples. This explicitly defines edge-case considerations and decision explanations for complex analysis tasks.

Does prompt refining work with FlexTime schedule_id and orchestration stages?▼

Yes, prompt refining works with FlexTime by generating context-aware prompts that incorporate schedule_id, orchestration stages, and HELiiX brand names. This ensures the AI output aligns with FlexTime-specific automation requirements.

What is the best way to add constraints and examples to an AI prompt?▼

The best way to add constraints and examples is by using a structured XML-like format with dedicated sections for requirements, constraints, and examples. This converts unstructured drafts into ready-to-submit prompts with explicit boundaries.

Can I use structured prompts for drafting, analysis, and automation tasks?▼

Yes, you can use structured prompts for drafting, analysis, and automation tasks. The refinement process applies to any task requiring multi-step reasoning, strict formatting, or complex context management across diverse AI workflows.

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