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AI Codebase Time-Saver
Turn unfamiliar codebases into clear architecture maps, dependency paths, change-impact reports, and developer onboarding briefs.
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See it in action
You say
Analyze this repository before I modify it. I need to add Google OAuth login. First explain the architecture, identify the application entry points, authentication-related files, user/session models, API routes, frontend authentication state, configuration files, and relevant tests. Then tell me exactly which files are likely to change, what existing authentication code I should reuse, what could break, and what tests I should inspect before implementation. Do not modify any files.
Your agent does
CODEBASE INTELLIGENCE REPORT
Repository: example-web-app Analysis Mode: Read-only Requested Change: Google OAuth authentication
- ARCHITECTURE OVERVIEW
The repository appears to use a frontend application connected to a backend API and persistent user storage.
Primary flow:
Login UI → Auth Client → API Route → Authentication Service → User Store
- IMPORTANT ENTRY POINTS
Frontend
src/main.* — application bootstrap src/routes/* — route configuration
Backend
server/index.* — server entry server/routes/* — API routes
- AUTHENTICATION SURFACE
Relevant areas identified:
src/auth/* — frontend authentication logic server/auth/* — server authentication logic server/models/user.* — user persistence src/components/Login.* — login interface
- LIKELY CHANGE IMPACT
HIGH
src/components/Login.* Existing login interface likely needs an OAuth entry point.
server/auth/* OAuth callback and identity handling may belong here.
MEDIUM
server/models/user.* May require provider/account fields depending on the existing schema.
MEDIUM
Authentication tests should be reviewed before modification.
- REUSE BEFORE REBUILDING
Existing authentication utilities should be reused where possible rather than creating a parallel authentication flow.
- POTENTIAL RISKS Existing session handling may conflict with OAuth callbacks. User-account linking may create duplicate accounts. Environment configuration may require new provider credentials. Existing authentication tests may assume password-only login.
- TESTS TO INSPECT
Prioritize:
Login tests Session tests User creation tests Authentication middleware tests API authorization tests 8. RECOMMENDED IMPLEMENTATION PATH Inspect existing authentication abstraction. Identify current session lifecycle. Determine the repository's existing OAuth/provider pattern if one exists. Extend the existing abstraction rather than creating a second authentication system. Update affected tests. Verify login, callback, session creation, logout, and duplicate-account behavior. CONFIDENCE
Medium
Some implementation details require direct inspection of the relevant authentication modules before changes are made.
No files modified.
What you get
About this skill
AI Codebase Time-Saver™ helps developers and AI coding agents understand unfamiliar repositories before making changes.
Instead of repeatedly asking an AI agent to explain files one by one, this skill creates a structured codebase intelligence report from the available repository context.
It identifies:
Application entry points Architecture and major modules Important files and directories Dependency relationships Data and request flows Configuration and environment boundaries Shared utilities and services Authentication and authorization touchpoints Database/API integration points Testing structure Build and deployment boundaries High-risk or tightly coupled areas Likely change-impact zones
The skill can also answer practical questions such as:
“Where should I make this change?”
“Which files are likely affected?”
“What existing code should I reuse?”
“What could break if I modify this module?”
“How does this feature flow through the repository?”
Core Deliverables
Depending on the repository and request, the skill produces:
CODEBASE OVERVIEW
ARCHITECTURE MAP
ENTRY-POINT MAP
DEPENDENCY MAP
DATA-FLOW MAP
IMPORTANT FILE INDEX
CHANGE-IMPACT ANALYSIS
RISK HOTSPOT REPORT
TESTING MAP
DEVELOPER ONBOARDING BRIEF
TARGETED FILE RECOMMENDATIONS
The skill prioritizes evidence from the actual repository and clearly distinguishes confirmed observations from assumptions.
It does not invent files, APIs, dependencies, architecture, test results, or implementation details.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
6 skills on Agensi
AI workflow and skill creator dedicated to designing specialized, production-focused solutions for modern AI users. Her work focuses on practical automation, AI-assisted development, business workflows, and structured agent skills that solve real-world problems.
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