- Home
- Skills
- Alirezarezvani
- Claude Skills
- Api Design Reviewer
api-design-reviewer_skill
- Python
4.6k
GitHub Stars
1
Bundled Files
3 weeks ago
Catalog Refreshed
1 month ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstart where the catalogue uses aiagentskills.
npx veilstart add skill alirezarezvani/claude-skills --skill api-design-reviewer- SKILL.md11.7 KB
Overview
This skill provides automated, production-ready reviews of REST API designs to improve consistency, security, and developer experience. It combines linting, breaking-change detection, and a multi-dimensional scorecard to surface actionable issues and recommendations. Use it to enforce conventions, catch regressions between spec versions, and track API quality over time.
How this skill works
The tool ingests OpenAPI/Swagger specifications and runs rule-based checks for naming, HTTP method usage, URL structure, status codes, error formats, authentication, pagination, and performance patterns. It compares two spec versions to detect breaking changes such as removed endpoints, field type changes, and new required fields. Finally, it produces a scored assessment across consistency, documentation, security, usability, and performance with detailed remediation guidance.
When to use it
- During API design reviews before implementation
- As part of CI/CD to enforce API quality gates
- When preparing a new API version or refactor to detect breaking changes
- Regular audits to maintain documentation and security hygiene
- Before public release or partner integration to ensure stability
Best practices
- Adopt consistent naming (kebab-case resources, camelCase fields) and HTTP semantics
- Version APIs explicitly (URL versioning recommended) and document migration paths
- Use standard error structures with requestId and timestamps for observability
- Implement pagination, caching, and field selection to optimize performance
- Validate OpenAPI specs with examples and reusable schemas to improve automation
Example use cases
- Run api_linter.py in CI to block commits with naming or documentation gaps
- Use breaking_change_detector.py to compare v1 and v2 specs and auto-generate migration notes
- Generate an API scorecard before launch to prioritize documentation and security fixes
- Add pre-commit hooks to enforce linting locally and prevent regressions
- Integrate api_scorecard.py into sprint retrospectives to track API quality improvements
FAQ
It operates on OpenAPI/Swagger specifications (JSON or YAML) and compares spec versions for breaking-change analysis.
How are breaking-change severities determined?
Severity is based on type of change (endpoint removal, type changes, required field additions) and impact on consumers; the tool annotates each finding with an impact level and suggested mitigation.