What is the TCRO framework used in this skill?

TCRO stands for Task, Context, Requirements, and Output. It is a structured methodology that ensures an AI model receives all the necessary components to execute a task accurately without ambiguity.

Can I customize the clarifying questions asked by the skill?

Yes, the skill uses phase-specific templates (research, specify, plan, work) located in its templates directory, which can be modified to fit specific project needs.

Does this skill work with all Claude Code commands?

This skill is specifically designed to be automatically invoked by the ai-eng-system command suite, including /research, /specify, /plan, and /work.

How does it improve AI response quality?

It reduces the #1 cause of poor AI results: vague input. By forcing clarity on constraints and desired outcomes before execution, it minimizes wasted iterations.

What is the confidence assessment feature?

After refining a prompt, the skill provides a rating from 0.0 to 1.0, indicating how well-structured and unambiguous the final prompt is before Claude begins the task.

Prompt Refinement & TCRO Structuring

Name: Prompt Refinement & TCRO Structuring
Author: v1truv1us

byv1truv1us

•

生産性とワークフロー

Transforms vague user inputs into highly structured, high-performance specifications using the TCRO framework and phase-specific clarification.

概要

The Prompt Refinement skill acts as a critical quality gate for AI-assisted engineering, ensuring that every command Claude executes is based on a clear, well-structured prompt. By utilizing the TCRO framework—Task, Context, Requirements, and Output—this skill automatically identifies ambiguities in user input and asks targeted, phase-specific questions to fill the gaps. It further enhances prompt quality by applying incentive prompting techniques, such as expert persona assignment and stakes-based language, which significantly reduces iteration cycles and improves the precision of AI-generated code and documentation.

主な機能

Interactive requirement gathering with confidence assessment scoring
Automated Incentive Prompting and Expert Persona assignment
2 GitHub stars
TCRO Framework Structuring (Task, Context, Requirements, Output)
Phase-specific clarification for Research, Specification, Planning, and Work
Seamless integration with ai-eng-system command workflows

ユースケース

Ensuring research tasks have enough context to produce actionable, relevant findings
Converting brief, 'messy' feature requests into production-ready technical specifications
Standardizing AI prompts across a development team to ensure consistent output quality

概要

主な機能

Interactive requirement gathering with confidence assessment scoring
Automated Incentive Prompting and Expert Persona assignment
2 GitHub stars
TCRO Framework Structuring (Task, Context, Requirements, Output)
Phase-specific clarification for Research, Specification, Planning, and Work
Seamless integration with ai-eng-system command workflows

ユースケース

Ensuring research tasks have enough context to produce actionable, relevant findings
Converting brief, 'messy' feature requests into production-ready technical specifications
Standardizing AI prompts across a development team to ensure consistent output quality