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Terry-Mao
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pr-walkthrough

Generate an interactive D3 visualization of a pull request's architecture and data flow.

144|16|Updated May 3, 2026
Search Tags:#pull request#github#pr#d3#visualize
One-click install
npx skills add https://github.com/Terry-Mao/AICodingFlow --skill pr-walkthrough-terry-mao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-walkthrough
Source: https://github.com/Terry-Mao/AICodingFlow/tree/main/.agents/skills/pr-walkthrough
Command: npx skills add https://github.com/Terry-Mao/AICodingFlow --skill pr-walkthrough-terry-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires d3, gh, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a local, interactive D3 visualization of pull requests, helping users understand the system, data flow, code dependencies, and user actions involved in a PR.

Core Features & Use Cases

  • System Overview: View a high-level structure of affected subsystems without PR-specific details.
  • Data Flow: Map the flow of state, data, events, requests, and files within the PR.
  • Code Dependency: Visualize the dependencies between changed components.
  • User Action: Trace the user's actions through the PR process.
  • Use Case: Suppose you have a large pull request with complex dependencies. Use this Skill to visualize the system architecture, data flow, and code dependencies, making it easier to understand the changes.

Quick Start

Run the pr-walkthrough skill with the PR number to generate an interactive graph: pr-walkthrough <pr-number>.

Frequently Asked Questions about pr-walkthrough

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

FAQPage Schema
How can I visualize a pull request to understand code dependencies and data flow?▼

Visualizing a pull request involves generating an interactive D3 graph that maps system architecture, data flow, code dependencies, and user actions, making complex PR changes easier to understand.

What is the best way to review a large GitHub pull request with complex subsystem changes?▼

Reviewing a large GitHub pull request is best handled by visualizing the affected subsystems and tracing user actions through an interactive graph, providing a high-level system overview without getting lost in PR-specific details.

How do I generate an interactive graph for a GitHub PR?▼

To generate an interactive graph for a GitHub PR, run the visualization command with the target pull request number, which processes the changes and outputs a D3 graph of the system architecture.

Do I need D3 and GitHub API access to visualize pull request data flow?▼

Yes, generating a pull request visualization requires D3 and GitHub API access to process the PR data and render the interactive graph showing code dependencies and state flow.

Can I map code dependencies between changed components in a pull request?▼

Yes, you can map code dependencies between changed components in a pull request by using a visualization tool to highlight the structural relationships and dependencies affected by the specific PR changes.

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