prompt-feasibility-tester

What problem does it solve?

This Skill prevents wasted development resources by rigorously evaluating whether a proposed AI capability is achievable with current Large Language Model (LLM) technology before committing to building it.

Core Features & Use Cases

• Prompt-First Evaluation: Ensures a concrete prompt specification exists before any feasibility analysis.
• LLM Limitations Check: Systematically scores capabilities against context length, output structure, consistency, hallucination risk, latency, and reasoning depth.
• Data & Cost Modeling: Assesses data requirements, estimates operational costs, and models latency at scale.
• Failure Mode Analysis: Identifies potential errors, their likelihood, detection methods, and impact.
• Recommendation Framework: Classifies feasibility into clear categories (FEASIBLE, FEASIBLE_WITH_CONSTRAINTS, PROTOTYPE_FIRST, NOT_FEASIBLE_AS_SPECIFIED, NOT_FEASIBLE).
• Use Case: A product manager proposes an AI feature to automatically summarize legal contracts. Before assigning engineers, this Skill is used to define the prompt, check LLM limitations for handling long documents and complex legal language, estimate costs, and determine if it's feasible or requires a prototype.

Quick Start

Use the prompt-feasibility-tester skill to evaluate if an AI capability to draft regulatory filings is feasible.