A specialized technical agent for implementing, reviewing, and debugging FastAPI applications according to high-level industry standards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install api-expert
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install api-expert using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is FastAPI Expert?
The FastAPI Expert skill is a technical powerhouse designed to streamline the development of high-performance REST APIs. By integrating directly into the Openclaw Skills ecosystem, this tool ensures that every line of Python code adheres to modern best practices, including rigorous Pydantic model validation and efficient dependency injection. It serves as both a mentor for junior developers and a rigorous automated reviewer for senior engineers.
This skill transforms the coding environment by enforcing strict type annotations and utilizing the modern Annotated style for dependencies. Whether you are building a microservice from scratch or refactoring a legacy system, the FastAPI Expert ensures your backend is scalable, maintainable, and type-safe.
FastAPI Expert Use Cases
- Reviewing existing FastAPI codebases to identify and fix violations of architectural conventions.
- Generating new REST API endpoints with standardized Pydantic models and response schemas.
- Debugging complex dependency injection issues using the Annotated style.
- Automating the inclusion of comprehensive type annotations across Python function signatures.
How FastAPI Expert Works
- The skill initializes by loading the core conventions reference from the local environment.
- It analyzes the user's current code context or natural language query to identify the specific API development task.
- For code reviews, it cross-references the implementation against established FastAPI best practices.
- It generates or modifies code ensuring every function includes complete type hints and modern dependency structures.
- The final output is delivered as optimized, production-ready Python code that adheres to the 1.0.4 version specifications.
FastAPI Expert Setup
To integrate this capability into your project, install it via the Openclaw Skills manager:
# Install the FastAPI Expert skill
claw install api-expert
# Verify the installation and metadata
claw skill info api-expert
Ensure that your project structure includes a references/conventions.md file if you wish to customize the underlying rules used by the agent.
FastAPI Expert Data Schema & Taxonomy
The skill utilizes a structured metadata pattern to maintain consistency across coding sessions:
| Attribute | Value | Description |
|---|---|---|
| Pattern | tool-wrapper | Standardizes the interaction between the agent and the FastAPI ecosystem. |
| Domain | fastapi | Restricts the scope of knowledge to specific Python backend frameworks. |
| Version | 1.0.4 | Tracks the specific iteration of best practices applied to the code. |
| Reference | conventions.md | The source of truth for all linting and generation rules. |
FastAPI Expert Advanced Features
- Automated Convention Compliance: Automatically pulls from a centralized conventions file to ensure team-wide consistency.
- Dependency Injection Refactoring: Converts older dependency patterns to the modern Annotated style for better IDE support.
- Deep Pydantic Integration: Intelligent generation of data validation models based on inferred API requirements.
- Metadata-Driven Evolution: Version-tracked logic (v1.0.4) that allows for seamless updates as the FastAPI framework evolves.
SKILL.md
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