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Azhi-ss
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Academic Repo Analyzer

Analyze ML/DL repositories to extract architecture, tech stack, and workflows.

80|8|Updated Apr 9, 2026
Search Tags:#workflow#architecture#documentation#repository#analyze#ml#tech-stack
One-click install
npx skills add https://github.com/Azhi-ss/academic-figure-skills --skill academic-repo-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Academic Repo Analyzer
Source: https://github.com/Azhi-ss/academic-figure-skills/tree/main/academic-repo-analyzer
Command: npx skills add https://github.com/Azhi-ss/academic-figure-skills --skill academic-repo-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes any ML/DL code repository to quickly reveal its purpose, architecture, tech stack, and potential integration points, enabling faster onboarding and planning.

Core Features & Use Cases

  • Repository structure scanning to identify major components, entry points, and dependencies
  • Architecture and tech stack extraction to summarize model types, frameworks, and training pipelines
  • Generated fast-understanding document and actionable notes for downstream figure planning

Quick Start

Provide a concise repo understanding document and a plan for downstream figure planning.

Frequently Asked Questions about Academic Repo Analyzer

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

FAQPage Schema
How do I analyze a machine learning repository to understand its architecture?▼

To analyze an ML repository, the Skill scans its structure, README, dependencies, and core modules to extract architecture, model types, and training pipelines, generating a reusable fast-understanding document.

How do I onboard new developers onto an existing deep learning codebase?▼

Onboarding is streamlined by generating a fast-understanding document from the repository that identifies major components, entry points, and dependencies, enabling quick orientation for new developers.

Can I extract the tech stack and framework details from an ML project automatically?▼

Yes, you can extract the tech stack and framework details by reading the repository's dependencies and core modules to summarize model types, frameworks, and training pipelines automatically.

Does this repository analyzer work with projects of varying sizes and languages?▼

Yes, the repository analyzer applies to projects of varying sizes and languages, reading the repository structure and core modules regardless of the specific programming language used.

How do I generate actionable notes for downstream figure planning from an ML repo?▼

You generate actionable notes for downstream figure planning by extracting the architecture and workflow descriptions from the codebase, producing suggested handoff artifacts for downstream tasks.

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