architecture-review
Helps your agent analyze the structure of a software project. It can explain how parts connect and identify architectural risks.
What it does
This tool analyzes the structure of a software project. It helps understand how code parts connect, who owns which sections, and potential architectural risks.
When to use it
- ✓When you want to understand the overall organization of a project.
- ✓When you need to know which code parts depend on each other.
- ✓When you want to identify potential issues in how the project is built.
Example of what to ask your AI
“Explain the architecture of this project.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses a system called Ontoly to examine the code and its connections. It checks architecture rules and dependencies between modules.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill architecture-reviewOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/architecture-review/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
When to Use
- Use when this upstream workflow matches the user's stated goal.
- Use when the task requires the procedures documented in this skill.
Architecture Review
Use this skill when the user asks for architecture review using Ontoly evidence.
Required Workflow
Follow the shared Ontoly workflow. Read the graph evidence rules, MCP usage, best practices, and fallback rules when the task requires detail.
Ontoly Capabilities
Use these capabilities first: ExplainArchitecture, GraphStatistics, FindCycles, FindDependencies, EvidencePack.
Output Contract
Return:
- answer or plan
- capabilities invoked
- graph evidence with node ids, edge types, source spans, and graph hash when available
- confidence: high, medium, or low
- fallback reason if repository files were inspected
Boundaries
Do not implement compiler, query, MCP, SDK, or business logic in the skill. Do not search repository files until Ontoly cannot answer or evidence must be confirmed.
Resources
Learn more
- Documentation: https://ontoly.xyz/docs
- This skill on the web: https://ontoly.xyz/skills#architecture-review
- All Ontoly Agent Skills: https://ontoly.xyz/skills
- Install via skills.sh: https://www.skills.sh/?q=0xsarwagya/ontoly
Examples
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.
Limitations
- Imported upstream skill; verify credentials, permissions, and safety boundaries before execution.
- Does not replace environment-specific validation, testing, or maintainer review.
FAQ
What is Ontoly?
Ontoly is a system that helps analyze the structure and connections within a software project.
What are 'module boundaries'?
These are the clear divisions between different parts or functionalities of a project's code.
What is 'package topology'?
This refers to how files and folders (packages) are organized within a project.
Details
Original description by the author
Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2197
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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