
Fastapi Templates
Scaffolds FastAPI projects with async patterns, dependency injection, and error handling already wired up. Useful when you're starting a new API project and don't want to spend the first hour setting up the same boilerplate structure you always use. Covers the common cases like PostgreSQL and MongoDB integration, middleware setup, and testing foundations. The implementation playbook has detailed examples if you need reference patterns. It won't save you from understanding FastAPI itself, but it gets you past the "blank file anxiety" stage and into actual feature work faster.
- skills.sh installs
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- GitHub stars
- 39.4K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill fastapi-templates --agent claude-codeInstalls into .claude/skills of the current project.
Files
FastAPI Project Templates
Starting-point FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs.
Use this skill when
- Starting new FastAPI projects from scratch
- Implementing async REST APIs with Python
- Building high-performance web services and microservices
- Creating async applications with PostgreSQL, MongoDB
- Setting up API projects with proper structure and testing
Do not use this skill when
- The task is unrelated to fastapi project templates
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Example
Create a PostgreSQL-backed user API using the playbook. First define request/output/internal schemas and object authorization, then test registration, inactive-token rejection and forbidden cross-user reads. Report missing project files before claiming a runnable service.
Resources
Sponsors
Details
- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- Python
- First seen
- Jun 3, 2026
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