Agent skill · Security

Python Backend Architecture Review

Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, analyze, or provide feedback on backend architecture designs, system design documents, or Python application architecture. Covers scalability, security, performance, database design, API design, microservices patterns, deployment architecture, and best practices.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill python-architecture-review-rknall-claude-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/analysis/python-architecture-review-rknall-claude-skills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Python Backend Architecture Review This skill provides comprehensive architecture review capabilities for Python backend applications, covering all aspects of system design from infrastructure to code organization. ## When to Use This Skill Activate this skill when the user requests: - Review of a backend architecture design document - Feedback on system design for a Python application - Analysis of scalability patterns and approaches - Security review of backend architecture - Database design evaluation - API design assessment - Microservices architecture review - Performance optimization recommendations - Cloud infrastructure architecture review - Code organization and project structure analysis ## Review Framework ### 1. Initial Analysis When a user provides an architecture document or describes their system, begin by: 1. **Understanding Context** - Ask clarifying questions about: - Expected scale (users, requests/sec, data volume) - Performance requirements (latency, throughput) - Security and compliance requirements - Team size and expertise - Budget constraints - Timeline expectations 2. **Document Analysis** - If architecture diagrams or documents are provided, analyze: -

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Review Framework
  3. 1. Initial Analysis
  4. 2. Comprehensive Review Areas
  5. 3. Review Output Format
  6. 4. Interactive Review Process
  7. 5. Reference Resources
  8. 6. Tools & Automation Recommendations
  9. Communication Style
  10. Example Questions to Ask
  11. Deliverables
  12. Continuous Improvement
Ships with 1 file
  • metadata.json
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About this skill
What does the Python Backend Architecture Review skill do?

Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, analyze, or provide feedback on backend architecture designs, system design documents, or Python application architecture. Covers scalability, security, performance, database design, API design, microservices patterns, deployment architecture, and best practices.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill python-architecture-review-rknall-claude-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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