prompt-formatter

Restructure AI prompts into a compact C-format for token efficiency.

Updated May 25, 2026
One-click install
npx skills add https://github.com/fuyucn/skills --skill prompt-formatter-fuyucn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-formatter
Source: https://github.com/fuyucn/skills/tree/main/prompt-formatter
Command: npx skills add https://github.com/fuyucn/skills --skill prompt-formatter-fuyucn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the common issue of bloated, poorly structured, or ineffective AI prompts that lead to inconsistent generation results, wasted tokens, and ignored constraints.

Core Features & Use Cases

  • Structural Optimization: Reorganizes prompts into a high-performance C-format, ensuring critical constraints are placed in high-weight token positions.
  • Token Efficiency: Removes redundant text, decorative separators, and self-defeating "negative" triggers that often trigger safety filters.
  • Use Case: Use this to refine complex image generation prompts for GPT Image 2 or Grok, ensuring that identity anchors and style isolation declarations are prioritized for the model.

Quick Start

Use the prompt-formatter skill to diagnose and restructure the provided prompt into a compact and efficient format.

Frequently Asked Questions about prompt-formatter

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

FAQPage Schema
How do I optimize AI prompt structure for better image generation results?

To optimize AI prompt structure, reorganize text into a high-performance C-format that places critical identity anchors and style constraints in high-weight token positions for better model attention.

Why does my AI image prompt trigger safety filters when using negative triggers?

Negative triggers in AI prompts often activate safety filters because of self-defeating wording. Removing redundant text and decorative separators eliminates these accidental triggers while improving token efficiency.

What is the best way to format complex prompts for GPT Image 2?

The best way to format complex prompts for GPT Image 2 is applying structural consistency, prioritizing identity anchors, and isolating style declarations to ensure the model focuses on critical composition constraints.

Can I use prompt formatting to reduce wasted tokens in AI video generation?

Yes, prompt formatting reduces wasted tokens by removing redundant text and decorative separators, restructuring the prompt into a compact format that satisfies model attention requirements for video generation workflows.

How do I restructure a prompt to prioritize critical identity anchors?

Restructure a prompt by applying structural optimization techniques that move critical identity anchors into high-weight token positions, ensuring the model prioritizes these constraints over less important stylistic text.