checkpoint-qa

Automate multi-turn Q&A evaluation workflows for AI model comparisons.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/MinhOmega/marlin-skill --skill checkpoint-qa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: checkpoint-qa
Source: https://github.com/MinhOmega/marlin-skill/tree/main/.claude/skills/checkpoint-qa
Command: npx skills add https://github.com/MinhOmega/marlin-skill --skill checkpoint-qa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates end-to-end Q&A evaluation for AI model comparisons by brainstorming questions, proposing answers, and validating responses against evaluation criteria.

Core Features & Use Cases

  • Brainstorm questions (preset or custom) and prepare evaluation prompts
  • Suggest answers with evidence, references, and structured reasoning
  • Evaluate CTV responses and generate an Overall Preference Justification
  • Supports multi-turn workflows and exports per-turn QA artifacts (questions.json, q_*.md, and overall_justification)

Quick Start

Invoke the skill with a workspace path and a turn number to auto-generate questions and kick off the evaluation workflow.

Frequently Asked Questions about checkpoint-qa

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

FAQPage Schema
How do I automate Q&A evaluation workflows for AI model comparison?

Automate Q&A evaluation for AI model comparison by invoking the skill with a workspace path and turn number to auto-generate questions, evaluate responses, and export per-turn QA artifacts.

What is the best way to generate an overall preference justification for multi-turn model evaluations?

Generate an overall preference justification for multi-turn evaluations by evaluating CTV responses against structured criteria, producing a documented justification file in the output workspace.

How does multi-turn Q&A evaluation handle preset and custom questions?

Multi-turn Q&A evaluation handles preset and custom questions by reading input from turn evaluation files, brainstorming questions, suggesting answers with evidence, and exporting artifacts per turn.

Can I use checkpoint-review to validate outputs during AI model comparison workflows?

Checkpoint-review is integrated into the AI model comparison workflow, automatically invoking output validation and rewriting mechanisms on each generated per-turn QA artifact.

Do I need specific input file formats to start automated prompt engineering evaluations?

Automated prompt engineering evaluations require turn evaluation markdown files located at workspace/turn_N/turn_N_evaluation.md as input to generate questions and QA artifacts.