What is the TCRO framework?

TCRO stands for Task, Context, Requirements, and Output. It is a structured approach to prompting that ensures the AI understands exactly what to do, why it's doing it, what the constraints are, and what the final deliverable should look like.

What happens if I don't have a CLAUDE.md file?

The skill will proceed without project-specific context, asking basic questions about your tech stack and goals to ensure the prompt remains high-quality even without a central configuration file.

How does this skill work with existing commands?

The prompt-refinement skill is designed to be automatically invoked at the start of ai-eng commands such as research, specify, plan, and work, acting as a quality gate before execution begins.

Can I edit the refined prompt before Claude executes it?

Yes. After the refinement process, the skill displays the structured TCRO prompt and asks for your confirmation (y/n/edit), allowing you to make manual adjustments.

Prompt Refinement & TCRO Structurer

Name: Prompt Refinement & TCRO Structurer
Author: v1truv1us

byv1truv1us

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Productivity & Workflow

Transforms vague user inputs into structured TCRO specifications to maximize AI output quality and consistency.

This skill systematically enhances the quality of AI interactions by converting ambiguous prompts into professional, multi-layered specifications using the TCRO (Task, Context, Requirements, Output) framework. It acts as an intelligent intermediary that asks phase-specific clarifying questions, integrates project-wide context from local documentation, and applies advanced incentive-prompting techniques like expert personas and step-by-step reasoning. By establishing clear task definitions and explicit requirements upfront, it eliminates trial-and-error iterations and ensures that Claude delivers high-fidelity results tailored to your specific project constraints.

Key Features

01Built-in incentive prompting with expert personas and confidence scoring

02Automated TCRO (Task, Context, Requirements, Output) framework structuring

03Automatic context extraction from project-level documentation (CLAUDE.md)

042 GitHub stars

05Interactive phase-specific clarification for research, planning, and implementation

06Seamless integration with ai-eng research and specification commands

Use Cases

01Converting high-level feature requests into actionable, technical specifications

02Refining vague research goals into structured investigative plans with clear deliverables

03Standardizing requirement quality across a development team to ensure AI consistency

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add v1truv1us/ai-eng-system prompt-refinement

For use in Claude.ai and ChatGPT

Download Skill