skills.rest
mvillmow
mvillmowCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

identify-architecture

Identify ML model architectures from papers and code into implementation-ready documentation.

18|5|Updated Nov 3, 2025
Search Tags:#documentation#implementation planning#system design#machine learning#research papers#neural networks#model architecture
One-click install
npx skills add https://github.com/mvillmow/ProjectOdyssey --skill identify-architecture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: identify-architecture
Source: https://github.com/mvillmow/ProjectOdyssey/tree/main/.claude/skills/tier-2/identify-architecture
Command: npx skills add https://github.com/mvillmow/ProjectOdyssey --skill identify-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Understanding and documenting complex machine learning model architectures from research papers or code is a detailed task that requires careful extraction and mapping.

Core Features & Use Cases

  • Architecture Extraction: Locates and documents architecture diagrams, layer specifications, and data flow from research papers.
  • Implementation Planning: Translates architectural details into a plan for Mojo struct/function definitions.
  • Use Case: When preparing to implement a neural network from a research paper, use this skill to extract its layer-by-layer breakdown, parameters, and connections, creating a clear implementation blueprint.

Quick Start

Use the identify-architecture skill to outline the process for extracting and documenting an ML model's architecture from a research paper.

Frequently Asked Questions about identify-architecture

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

FAQPage Schema
How do I extract and document a neural network architecture from a research paper?▼

Extract architecture by identifying each layer type and parameters, mapping data flow including skip connections, recording input/output shapes, and producing implementation-ready documentation that translates the paper's design into a clear blueprint for coding.

What information should I capture when documenting a machine learning model architecture?▼

Document layer types, parameters for each layer, input and output shapes, data flow connections, skip connections, and information flow paths. This layer-by-layer breakdown enables direct translation into struct and function definitions for implementation.

Can I use architecture documentation from papers to plan implementation?▼

Yes. Architecture documentation serves as an implementation plan by translating layer specifications, connections, and data flow from research papers into actionable steps for defining model structures and functions in code.

How do I map data flow in complex neural network architectures?▼

Map data flow by tracing how information moves through each layer, identifying skip connections that bypass layers, noting input/output shapes at each stage, and recording the complete information flow path for accurate implementation.

What's the best way to organize extracted model architecture details for coding?▼

Organize extracted details into enumerated layers with types and parameters, mapped data flow including connections, recorded input/output shapes, and structured documentation that directly supports writing implementation code.

Related Skills

Explore More Data & Analytics Skills→
tassiovaletassiovale
13

scientific-schematics

Generate scientific diagrams from natural language descriptions with iterative quality review.

Community
Advanced
panicPaulpanicPaul
5

mojo-syntax

Enforce up-to-date Mojo syntax conventions in generated code.

Community
Advanced
ZurybrZurybr

model-extraction-relu-logits

Extract weight matrices from black-box ReLU neural networks via input-output queries.

Community
Advanced
onbluerosesonblueroses
3

json-canvas

Create and edit JSON Canvas files with nodes, edges, and groups.

Community
Intermediate