fastapi-templates
by wshobsonfastapi-templates helps generate production-ready FastAPI project structures with async patterns, dependency injection, and a clean app/ layout for scalable API services.
This skill scores 68/100, meaning it is acceptable to list but users should expect to fill in some execution details themselves. The repository provides substantial FastAPI project guidance, yet lacks concrete install/run steps and supporting assets that would reduce guesswork.
- Clear trigger and use-case framing for starting new FastAPI projects, async REST APIs, and microservices.
- Detailed project structure template with recommended directories and files, giving agents a concrete scaffold to follow.
- Covers core concepts like dependency injection and async patterns, indicating practical implementation focus.
- No install or quick-start commands in SKILL.md, so execution steps are inferred rather than explicit.
- No supporting scripts, references, or resources, limiting operational depth beyond the written guidance.
Overview of fastapi-templates skill
fastapi-templates is a skill for generating production-ready FastAPI project structures with async patterns, dependency injection, middleware, and error-handling conventions. It best fits backend engineers who need a clean starting point for an API or microservice, especially when they care about maintainable layout, layered architecture (API → services → repositories), and predictable scalability.
What fastapi-templates helps you build
Use fastapi-templates to draft a full project scaffold with a clear app/ layout, versioned routes, Pydantic schemas, and separation of business logic from data access.
Best-fit users and job-to-be-done
This skill serves developers who want a repeatable FastAPI starter that includes async-first conventions, and who value a structured blueprint more than a single-file demo.
Differentiators vs a generic FastAPI prompt
The skill emphasizes a consistent project layout, DI with Depends, and production-style separation of concerns rather than ad-hoc endpoint examples.
When not to use fastapi-templates
Skip it if you only need a minimal proof-of-concept or a single endpoint; the full structure may slow you down.
How to Use fastapi-templates skill
fastapi-templates install and invocation
Install and invoke with:
npx skills add https://github.com/wshobson/agents --skill fastapi-templates
Inputs the skill expects to work well
Provide your API scope, data store choice (e.g., PostgreSQL, MongoDB), sync vs async preference, and the high-level domain modules you expect (users, auth, items).
Turn a rough goal into a strong prompt
Weak: “Create a FastAPI project.”
Strong: “Create a FastAPI project scaffold for a multi-tenant SaaS. Use async, PostgreSQL, versioned API routes, and a user/auth module. Include api/v1/endpoints, services, repositories, schemas, and DI with Depends.”
Suggested workflow for fastapi-templates usage
- Run the skill with a clear architecture brief.
- Review the generated
app/tree and adjust naming to your domain. - Add real models and dependency wiring after confirming the routing layout.
Repository files to read first
Start with SKILL.md to see the intended project structure and dependency injection patterns.
Practical tips that improve output quality
- Specify the database type so the scaffold reflects correct async libraries.
- List the core modules (users, auth, items) to shape the endpoints folder.
- Ask for versioned routing (
api/v1) if you expect API evolution.
fastapi-templates skill FAQ
Is fastapi-templates for API Development or only scaffolding?
It’s primarily for fast, structured scaffolding. You still need to implement business logic and persistence.
Can beginners use fastapi-templates skill?
Yes, if they already understand FastAPI basics. The layout is more advanced than a tutorial and expects familiarity with DI and schemas.
How does fastapi-templates compare to generic FastAPI prompts?
Generic prompts often produce one-file demos. This skill pushes a production-grade structure with clear layers and directory conventions.
What if my project is synchronous?
You can ask for sync patterns, but the skill is optimized for async FastAPI and high-performance API use cases.
How to Improve fastapi-templates skill
Provide domain-driven modules up front
List concrete modules (users, auth, billing, inventory). This yields a scaffold that mirrors your real domain and reduces later refactors.
Specify the data layer constraints
Mention PostgreSQL vs MongoDB, ORM vs raw SQL, and async drivers. This informs where repository and database setup should live.
Guard against over-scaffolding
If your MVP is small, ask for a slimmer layout (e.g., omit repositories or services) to avoid complexity you won’t use.
Iterate after the first scaffold
Review the generated folder tree and request targeted changes like “merge repositories and services” or “add api/v2 now.”
Common failure modes to avoid
- Vague requirements produce generic structures.
- Not naming modules leads to placeholder files.
- Ignoring DI patterns causes inconsistent dependency wiring later.
fastapi-templates guide for higher-quality outputs
Add a brief “architectural rules” section in your prompt: e.g., “Pydantic schemas in schemas/, models in models/, DI in dependencies.py, and all endpoints under api/v1/endpoints/.”