A comprehensive technical framework for architecting scalable, intuitive, and high-performance REST and GraphQL APIs.
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1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install api-design-principles
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-design-principles using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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Get the raw skill files in a ZIP archive.
What is API Design Principles?
This skill serves as a definitive guide for developers looking to build robust interfaces using Openclaw Skills. It provides a detailed decision framework for choosing between REST and GraphQL based on project requirements like data complexity and caching needs. The documentation synthesizes industry best practices for resource modeling, HTTP semantics, and schema design to ensure that every API created is both developer-friendly and future-proof.
Beyond simple theory, this resource provides actionable code implementations for popular frameworks like FastAPI. It addresses critical production concerns such as pagination strategies, consistent error handling, and security measures like rate limiting. By following these principles, engineering teams can maintain high standards across their service architecture while reducing technical debt and improving integration workflows.
API Design Principles Use Cases
- Designing new REST or GraphQL APIs with industry-standard patterns.
- Conducting technical reviews of API specifications before the implementation phase.
- Establishing a unified set of API design standards for distributed engineering teams.
- Refactoring existing legacy APIs to improve usability and consistency.
- Migrating services between REST and GraphQL paradigms to meet evolving frontend needs.
How API Design Principles Works
- Analyze data requirements to determine if a RESTful or GraphQL architecture is most suitable for the use case.
- Define resource hierarchies using plural nouns and clean nesting structures (maximum 2 levels).
- Map logical actions to appropriate HTTP methods and establish a clear status code mapping for all responses.
- Select a pagination strategy (Offset or Cursor) based on the size and frequency of data updates.
- Implement a standardized error response format to ensure predictable client-side handling.
- Configure versioning and rate limiting to manage the API lifecycle and protect system resources.
API Design Principles Setup
To apply these principles in a Python environment, you can begin by installing the core libraries used in the examples provided by Openclaw Skills:
pip install fastapi pydantic aiodataloader
Once installed, use the provided FastAPI boilerplates and GraphQL schema patterns to structure your application controllers and data models.
API Design Principles Data Schema & Taxonomy
The skill organizes API design data into the following taxonomy to ensure consistency across endpoints:
| Component | Organization Method | Details |
|---|---|---|
| Resource Naming | Collection-based | Uses plural nouns (e.g., /users, /orders) and avoids verbs in URLs. |
| HTTP Semantics | Status Code Mapping | Maps results to specific codes like 201 (Created) or 422 (Validation Error). |
| Pagination | Metadata Envelopes | Includes total counts, page sizes, and cursors within the response body. |
| Error Schema | Consistent JSON Objects | Uses a structured format containing code, message, details, and timestamp. |
| GraphQL Schema | Relay-style Patterns | Utilizes Connections, Edges, and PageInfo for standardized list navigation. |
API Design Principles Advanced Features
- Support for both Offset-based and high-performance Cursor-based pagination.
- N+1 problem prevention in GraphQL through DataLoader batching patterns.
- Advanced GraphQL query protection including depth limiting and complexity analysis.
- Comprehensive versioning strategies covering URL, Header, and Deprecation workflows.
- Robust rate-limiting implementation using leaky bucket logic and standard headers.
- Pre-implementation checklists to ensure security, documentation, and idempotent operations.
SKILL.md
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