code-review-graph-explore

Name: code-review-graph-explore
Availability: InStock
Author: AniTrend

Explore repository architecture via code-review-graph knowledge graph queries.

51|6|Updated Mar 10, 2019

Search Tags:#knowledge graph #code-review #codebase exploration #dependency mapping #architecture discovery #execution flows #callers and callees

Ready to run

npx skills add https://github.com/AniTrend/anitrend-v2 --skill code-review-graph-explore

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review-graph-explore
Source: https://github.com/AniTrend/anitrend-v2/tree/main/.agents/skills/code-review-graph-explore
Command: npx skills add https://github.com/AniTrend/anitrend-v2 --skill code-review-graph-explore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of quickly understanding a large codebase’s architecture and component relationships without relying on slow, manual file or text searching.

Core Features & Use Cases

Graph-first codebase exploration: Use code-review-graph tools to discover modules, communities, and structural connections across files and functions.
Architecture discovery and module mapping: Identify major modules and their roles via graph communities and semantic node search.
Relationship tracing and execution-path understanding: Trace callers/callees/imports and inspect flows to understand how parts of the system interact.

Quick Start

Use the code-review-graph MCP tools to start from minimal context and then query graph stats, architecture overview, communities, and flows to answer your architecture discovery or relationship-tracing question.

Frequently Asked Questions about code-review-graph-explore

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

FAQPage Schema

How do I explore a codebase architecture without manual file searching?▼

Codebase architecture exploration is accelerated by using a knowledge graph to map modules and component relationships. You query graph stats and architecture overviews to discover structural connections across files and functions without manual text searching.

What is the best way to trace execution flows across functions and classes?▼

Tracing execution flows is done by inspecting callers and callees within a code-review graph. You query relationship paths and flow data to understand how system parts interact across functions and classes.

How do I discover major modules and their roles in a large repository?▼

Module discovery is performed by listing graph communities and running semantic node searches. This identifies major modules and clarifies their structural roles within the repository's architecture.

Can I map code dependencies starting from minimal context?▼

Dependency mapping can start from minimal context by querying a code-review graph. You retrieve graph stats and architecture overviews to progressively build component and module relationship maps.

Does graph-based code review work for understanding component relationships?▼

Graph-based code review works for component mapping by treating the repository as a connected knowledge graph. It reveals structural connections and module relationships that traditional file searching misses.

What are the limitations of using knowledge graphs for codebase exploration?▼

Knowledge graph codebase exploration requires constrained output volumes to manage query results. You must start with minimal context and progressively query specific graph stats, communities, and flows to avoid overwhelming the context window.