sk-improve-prompt

Transform vague prompts into structured, scored prompts using DEPTH processing and seven frameworks.

31|3|Updated Dec 23, 2025

Search Tags:#transparency #framework #prompt-engineering #prompt #improve #depth #clear

Ready to run

npx skills add https://github.com/MichelKerkmeester/opencode--spec-kit-skilled-agent-orchestration --skill sk-improve-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sk-improve-prompt
Source: https://github.com/MichelKerkmeester/opencode--spec-kit-skilled-agent-orchestration/tree/main/.opencode/skill/sk-improve-prompt
Command: npx skills add https://github.com/MichelKerkmeester/opencode--spec-kit-skilled-agent-orchestration --skill sk-improve-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

The Skill provides a structured, repeatable process to turn vague prompts into clear, goal-oriented prompts by automatically selecting one of seven frameworks and applying DEPTH thinking with CLEAR scoring.

Core Features & Use Cases

Automatically selects the best prompt framework (RCAF, COSTAR, RACE, CIDI, TIDD-EC, CRISPE, CRAFT) based on task characteristics.
Applies DEPTH thinking and CLEAR scoring to ensure quality and traceability.
Loads supporting materials from references and assets on demand to explain methods and formats.
Returns a transparent output including framework chosen, DEPTH rounds, and a CLEAR breakdown for validation.

Quick Start

Provide a vague prompt and let the skill auto-select the best framework and return a structured, clear-scored enhancement.

Frequently Asked Questions about sk-improve-prompt

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

FAQPage Schema

How do I improve a vague prompt into a structured AI prompt?▼

The Skill transforms vague prompts into structured, scored AI prompts by applying DEPTH thinking and CLEAR scoring. It automatically selects the best framework from seven options based on task complexity, urgency, audience specificity, creativity, and precision.

What is the best way to select a prompt engineering framework automatically?▼

Automatic prompt framework selection evaluates task characteristics like complexity, urgency, audience specificity, creativity, and precision. The Skill matches these criteria against seven frameworks: RCAF, COSTAR, RACE, CIDI, TIDD-EC, CRISPE, and CRAFT.

How does CLEAR scoring work for prompt enhancement?▼

CLEAR scoring evaluates enhanced prompts to ensure quality and traceability. The Skill returns a transparent output including the chosen framework, DEPTH rounds, and a detailed CLEAR breakdown for validation.

Can I use this prompt enhancement tool without any dependencies?▼

Yes, you can use this prompt enhancement tool without dependencies. It operates independently but loads supporting materials from references and assets on demand to explain methods and formats during the enhancement process.

What is DEPTH thinking in prompt engineering?▼

DEPTH thinking is a processing method that ensures structured prompt quality. The Skill applies DEPTH thinking iteratively in rounds, returning a transparent progress report to show how the vague prompt was transformed.