analyze

Analyze code paths and data flow, documenting findings with file:line references.

2|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/mikev10/olympus --skill analyze-mikev10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/mikev10/olympus/tree/main/resources/skills/analyze
Command: npx skills add https://github.com/mikev10/olympus --skill analyze-mikev10

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates in-depth code analysis to identify potential issues, edge cases, and areas for improvement, ensuring code quality and robustness.

Core Features & Use Cases

  • Thorough Code Examination: Analyzes code paths, data flow, and potential failure modes.
  • Solution Proposal: Documents findings with specific references and suggests concrete code solutions.
  • Use Case: Before merging a critical feature, use this Skill to perform a deep dive into the new code, ensuring it's secure, performant, and maintainable.

Quick Start

Use the analyze skill to investigate the code in the file 'src/utils/helpers.py'.

Frequently Asked Questions about analyze

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

FAQPage Schema
How do I perform a deep code analysis to trace data flow and find edge cases?

Deep code analysis traces data flow and identifies potential failure modes by examining code paths. It documents findings with specific file:line references and proposes concrete solutions considering performance, security, and maintainability.

What's the best way to investigate security and performance issues before merging a critical feature?

Investigating security and performance issues before merging involves automating in-depth code analysis to identify edge cases and areas for improvement. This ensures code quality and robustness by proposing concrete code solutions with specific references.

Can I use automated code review to check maintainability and identify potential failure modes?

Automated code review checks maintainability by thoroughly examining code paths, data flow, and potential failure modes. It identifies potential issues and suggests concrete code solutions to ensure robustness and code quality.

How does code analysis identify edge cases and suggest concrete code solutions?

Code analysis identifies edge cases by tracing data flow and investigating code paths. It documents findings with specific file:line references and proposes concrete solutions with code examples, considering performance, security, and maintainability.

Does deep code investigation work for analyzing specific files like Python utilities?

Deep code investigation works for analyzing specific files like Python utilities by examining the code in the specified file path. It performs a thorough examination of code paths and data flow to identify issues and propose solutions.