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codebase-analysis

Map codebase structure, dependencies, and operational logic through a 16-phase workflow.

1|Updated May 5, 2026
Search Tags:#static analysis#codebase analysis#developer onboarding#dependency mapping#project audit#architecture assessment#software investigation
One-click install
npx skills add https://github.com/kollaborai/kollab --skill codebase-analysis-kollaborai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-analysis
Source: https://github.com/kollaborai/kollab/tree/main/bundles/skills/codebase-analysis
Command: npx skills add https://github.com/kollaborai/kollab --skill codebase-analysis-kollaborai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of exploring unfamiliar software projects, saving developers hours of time when onboarding to new codebases, auditing legacy systems, or preparing to contribute to open source projects.

Core Features & Use Cases

  • 16-Phase Systematic Workflow: Covers every critical aspect of codebase analysis from environment verification to deployment configuration, ensuring no key details are overlooked.
  • Standardized Investigation Process: Provides explicit, verified terminal commands and read steps for each analysis phase, eliminating guesswork and ensuring consistent results across any project.
  • Use Case: A developer joining a new team can use this Skill to quickly map the project's entry points, dependency graph, data models, and API surface in a fraction of the time it would take to explore manually.

Quick Start

Use the codebase-analysis skill to conduct a full systematic investigation of the current project's structure, dependencies, and core operational workflows.

Frequently Asked Questions about codebase-analysis

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

FAQPage Schema
How do I systematically analyze an unfamiliar codebase for developer onboarding?▼

To analyze an unfamiliar codebase for developer onboarding, this Skill executes a 16-phase systematic workflow that verifies project metadata, traces execution flows, and maps dependencies to eliminate manual guesswork and accelerate project comprehension.

What is the best way to map project structure and dependencies without manual guesswork?▼

The best way to map project structure and dependencies without manual guesswork is using a standardized investigation process that provides explicit terminal commands and read steps to trace execution flows and analyze data models.

Does this codebase analysis approach work with any programming language or framework?▼

Yes, this codebase analysis approach works with any programming language or framework by applying a standardized, repeatable workflow to investigate operational logic, assess security risks, and evaluate deployment configurations across diverse software projects.

Can I audit security and performance risks during a legacy project assessment?▼

Yes, you can audit security and performance risks during a legacy project assessment because the systematic workflow explicitly includes phases for assessing security vulnerabilities, performance bottlenecks, and verifying deployment configurations.

What steps are involved in a codebase audit to prepare for open source contributions?▼

Steps for a codebase audit to prepare for open source contributions include verifying environment setup, mapping the dependency graph, analyzing the API surface, tracing execution flows, and generating structured analysis reports across 16 distinct phases.

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