Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add wshobson/agents --skill openapi-spec-generationCompatible with
Supported agents
Supports design-first, code-first, and hybrid approaches with templates for complete specs, FastAPI/Python generation, and TypeScript/Express decorators
Includes reusable components for schemas, parameters, responses, and security schemes to minimize duplication across endpoints
Provides Spectral and Redocly validation rules to enforce naming conventions, security requirements, and documentation standards \
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenapi-spec-generationExecute the skills CLI command in your project's root directory to begin installation:
epx add wshobson/agents --skill openapi-spec-generationFetches openapi-spec-generation from wshobson/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/openapi-spec-generation
Restart Cursor to activate openapi-spec-generation. Access via /openapi-spec-generationin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
python-code-style
wshobson/agents · Backend · same repo
rust-async-patterns
wshobson/agents · Backend · same repo
microservices-patterns
wshobson/agents · Productivity · same repo
react-native-architecture
wshobson/agents · Frontend · same repo
ai-video-generation
inference-sh/skills · AI/ML · tag: generation
3d-model-generation
eachlabs/skills · Productivity · tag: generation
openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
openapi-spec-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: openapi-spec-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
openapi-spec-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for openapi-spec-generation matched our evaluation — installs cleanly and behaves as described in the markdown.
openapi-spec-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: openapi-spec-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for openapi-spec-generation matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in openapi-spec-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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