Quality Assurance

Verify MD-file deliverables against phase-specific quality checklists and generate quality_check_report.md.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/YL08140921/unson-os-market-research --skill quality-assurance-yl08140921
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Quality Assurance
Source: https://github.com/YL08140921/unson-os-market-research/tree/main/.skills/quality-assurance
Command: npx skills add https://github.com/YL08140921/unson-os-market-research --skill quality-assurance-yl08140921

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manually reviewing project outputs against quality standards is time-consuming and prone to human error, risking downstream issues. This Skill automates the quality gate process, ensuring all deliverables meet high standards.

Core Features & Use Cases

  • MD File Content Analysis: Detailed analysis of Markdown output files from each project phase.
  • Checklist Matching: Compares content against predefined quality checklists (mandatory and recommended items).
  • Quantitative Quality Scoring: Calculates a 100-point quality score based on completeness, specificity, and data evidence.
  • Actionable Improvement Directives: Provides concrete, prioritized suggestions for improving output quality.
  • Use Case: Automatically validate the quality of each project phase, ensuring all deliverables meet standards before proceeding, thereby reducing rework and improving final outcomes.

Quick Start

Claude Code will automatically activate this Skill with natural language requests:

「quality-assuranceエージェントを使用して、Phase1の品質チェックを実行してください。

確認対象:

  • pb000_deliverables/executions/2024-12-20_14-30/phase1_persona/persona_analysis.md
  • pb000_deliverables/executions/2024-12-20_14-30/phase1_persona/instagram_data.md

品質基準:

  • pb000_deliverables/quality_standards/phase1_checklist.md

レポート保存先:

  • pb000_deliverables/executions/2024-12-20_14-30/phase1_persona/quality_check_report.md」

Frequently Asked Questions about Quality Assurance

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

FAQPage Schema
How do I automate quality checks on markdown deliverables?

Automated quality checks on markdown files compare your deliverables against predefined checklists, verifying mandatory items, completeness, and data grounding in seconds. This Skill reads phase markdown files, applies phase-specific quality standards, computes a 100-point quality score, and generates a detailed quality report with improvement directives.

Can I validate project phase outputs against a formal checklist?

Yes. This Skill validates markdown deliverables from Phase1–Phase5 against formal quality checklists stored alongside your project files. It performs mandatory item verification, completeness evaluation, MVV alignment checks, and produces standardized quality scoring and actionable improvement suggestions.

What's the best way to catch quality issues before final delivery?

Implement an automated quality gate that evaluates each phase's markdown outputs against predefined standards. This Skill scores deliverables on a 100-point scale based on mandatory requirements, data evidence, and specificity, then surfaces gaps and priorities for remediation before proceeding to the next phase.

How do I generate a quality report for project deliverables?

This Skill generates a standardized quality_check_report.md that documents mandatory item completion, data grounding evaluation, phase-specific quality scores, and prioritized improvement directives. Reports are saved to your deliverables path for review and tracking.

Does this work with multi-phase project workflows?

Yes. The Skill is designed for Phase1–Phase5 project workflows. It applies phase-specific checklists to markdown files from each phase, calculates separate quality scores per phase, and stores reports within the corresponding phase execution directory.

What happens if a deliverable doesn't meet quality standards?

The Skill identifies gaps against mandatory and recommended checklist items, flags incomplete sections, evaluates data grounding, and produces concrete, prioritized improvement directives. You receive specific guidance on what to fix and in what order before resubmitting.