ai-instruction-design

Convert prompts into structured specifications using the RSFDA framework.

Updated Jan 14, 2026
One-click install
npx skills add https://github.com/leobessa/claude-plugins-ai-fluency --skill ai-instruction-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-instruction-design
Source: https://github.com/leobessa/claude-plugins-ai-fluency/tree/main/skills/ai-instruction-design
Command: npx skills add https://github.com/leobessa/claude-plugins-ai-fluency --skill ai-instruction-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI prompting often yields inconsistent or low-quality outputs when prompts are vague. This Skill gives a design approach to convert prompts into structured specifications, improving reliability across models and tasks.

Core Features & Use Cases

  • Role, Scope Bounding, Format Enforcement, Decision Rules, and Abstraction Control as a repeatable prompt-design framework.
  • RSFDA framework applied to real-world tasks like software docs, API specs, and data collection prompts.
  • Templates and guidance for turning complex tasks into contracts that AI can execute deterministically.

Quick Start

Describe a data transformation task using RSFDA: assign a role, bound the scope, require a structured format, set decision rules, and specify the abstraction level.

Frequently Asked Questions about ai-instruction-design

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

FAQPage Schema
How do I make AI prompts more consistent and reliable?

Structured prompt design uses the RSFDA framework—defining roles, scope bounding, format enforcement, decision rules, and abstraction control—to convert vague prompts into reliable contracts for consistent AI outputs.

What is the RSFDA framework for prompt design?

The RSFDA framework is a structured prompt-design methodology enforcing Role, Scope bounding, Format enforcement, Decision rules, and Abstraction control to convert vague prompts into deterministic AI contracts.

How do I write a structured prompt for software documentation?

Write a structured prompt for software documentation by applying the RSFDA framework: assign a role, bound scope, enforce output format, set decision rules, and specify abstraction level to generate deterministic API specs and docs.

When should I use contract prompts instead of regular prompts?

Use contract prompts instead of regular prompts for non-trivial tasks, reusable templates, and scenarios demanding deterministic AI outputs across software engineering, product design, and documentation tasks.

Can I apply structured instructions to data collection prompts?

Apply structured instructions to data collection prompts by bounding scope, enforcing structured output formats, and setting explicit decision rules to achieve reliable, deterministic data transformation outputs.