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alongor666
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data-analysis

Assess module implementation status and generate a structured JSON analysis report.

2|Updated Nov 2, 2025
Search Tags:#technical debt#codebase analysis#architecture review#JSON report#development status#project progress#feature completeness
One-click install
npx skills add https://github.com/alongor666/chexianduoweifenxi --skill data-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/alongor666/chexianduoweifenxi/tree/main/.claude/skills/data-analysis
Command: npx skills add https://github.com/alongor666/chexianduoweifenxi --skill data-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the tedious process of manually tracking project feature completion, assessing architectural adoption, and identifying technical debt within a codebase. It provides a structured, objective report, saving time and reducing human error in project oversight.

Core Features & Use Cases

  • Feature Module Analysis: Automatically checks for the existence of core files for each feature, providing a completeness percentage.
  • Architecture Adoption Evaluation: Assesses if architectural decisions and technology choices are actually implemented in the codebase.
  • Project Progress Tracking: Generates a structured JSON report detailing feature status (complete, partial, missing) and overall project completeness.
  • Use Case: A project manager needs to quickly understand the status of all features before a sprint review. They can use this skill to generate a detailed report, identifying partially implemented modules and potential technical debt, without manually sifting through code.

Quick Start

Analyze the current project's feature completion and generate a structured JSON report.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I track feature completion and technical debt across my codebase?▼

Feature completion tracking analyzes your codebase by verifying core file existence for each module, generating a structured JSON report that quantifies completeness percentages and identifies partially implemented features and technical debt without manual code review.

Can I automatically assess whether architectural decisions are actually implemented in my project?▼

Architecture adoption evaluation examines your codebase against predefined architectural decisions, producing an objective assessment of whether design choices are reflected in actual implementation, eliminating guesswork from architecture reviews.

What information does a project progress report include?▼

A project progress report provides a JSON-formatted structured analysis detailing feature status (complete, partial, missing), module completeness scores, overall project progress percentage, and identified technical debt areas for sprint planning and stakeholder communication.

How do I generate a quick status overview before a sprint review?▼

Run the analysis against your current codebase using predefined module definitions and core-file lists to instantly produce a detailed JSON report showing which features are complete, partially done, or missing, saving hours of manual investigation.

What setup do I need before running a codebase analysis?▼

Define your project's modules and their associated core files, then point the analysis at your repository; the Skill verifies file existence against those definitions and outputs JSON results suitable for automated ingestion by other tools.

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