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use-case-specification

Skill

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly decl

0Machine Learning

Install

git clone https://github.com/awslabs/agent-plugins.git ~/.claude/skills/use-case-specification

What is use-case-specification?

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~108 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

Use Case Specification

Multi-turn conversation to gather use case details and produce a use case specification document.

Principles

  1. One thing at a time. Each response advances exactly one decision or collects one piece of information.
  2. Confirm before proceeding. Wait for the user to approve the spec before considering this skill complete.
  3. Infer, don't interrogate. Use what's already known from the conversation. Only ask when you truly can't infer.
  4. Do NOT ask about base model selection. Model selection is handled exclusively by the model-selection skill.

Workflow

Step 0: Check for Existing Spec

Before starting discovery, check if a *_use_case_spec.md file already exists in the project. If it does, present it to the user and ask whether they want to reuse it, modify it, or start fresh.

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