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codebase-analysis

Orchestrates codebase exploration to produce evidence-backed findings with file:line references.

1|Updated Jan 12, 2026
Search Tags:#planning#architecture#debugging#documentation#codebase#analysis#evidence
One-click install
npx skills add https://github.com/akiselev/qt-llm-template --skill codebase-analysis-akiselev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-analysis
Source: https://github.com/akiselev/qt-llm-template/tree/main/.claude/skills/codebase-analysis
Command: npx skills add https://github.com/akiselev/qt-llm-template --skill codebase-analysis-akiselev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Systematically understands unfamiliar codebases by orchestrating an evidence-driven exploration workflow, removing guesswork from initial planning.

Core Features & Use Cases

  • Automated exploration phases: orchestrates exploration, focus selection, planning, deep analysis, verification, and synthesis.
  • Evidence-backed findings: delivers file:line references and quoted code snippets to support conclusions.
  • Use cases: ideal for onboarding new repos, architecture evaluations, security reviews, and performance assessments.

Quick Start

Run the automated codebase analysis to generate an evidence-based understanding report for the current repository.

Frequently Asked Questions about codebase-analysis

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

FAQPage Schema
How do I analyze an unfamiliar codebase to understand its architecture?▼

Analyzing an unfamiliar codebase involves orchestrating a structured exploration workflow that assesses architecture, patterns, and risks while delivering verifiable findings backed by file:line references.

What is the best way to orient codebases for new developers during onboarding?▼

The best way to orient codebases for onboarding is through automated analysis phases that produce an evidence-driven understanding report, removing guesswork from initial planning and exploration.

How do I get evidence-backed findings when reviewing repository code?▼

To get evidence-backed findings when reviewing repository code, run a progressive codebase analysis that delivers file:line references and quoted code snippets to support your conclusions.

Can I use automated exploration phases for security reviews and performance assessments?▼

Yes, automated exploration phases can be used for security reviews and performance assessments by applying structured analysis across unfamiliar repositories to evaluate architecture and identify risks.

Does codebase analysis work without external dependencies?▼

Codebase analysis works without external dependencies by using internal scripts to coordinate exploration phases, planning, and verification within your current repository environment.

Why does my codebase exploration lack verifiable findings?▼

Your codebase exploration lacks verifiable findings when it skips structured planning and progressive analysis phases, which are required to synthesize evidence-backed conclusions with file:line references.

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