A specialized skill designed to architect and implement robust integrations for Anthropic's Claude API, covering everything from streaming to complex tool use.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claude-api-builder
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install claude-api-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Claude API Builder is a technical module designed to facilitate the seamless integration of Anthropic's ecosystem into modern applications. As a standout feature within the Openclaw Skills library, it provides developers with a structured approach to using official Anthropic SDKs across multiple languages like Python and TypeScript.
By prioritizing SDK-native examples and official documentation, this skill helps developers navigate the complexities of prompt caching, file uploads, and stateful agent workflows. It ensures that implementations are not only functional but also optimized for the specific performance and rate-limiting characteristics of the Claude model family.
To utilize this within the Openclaw Skills framework, ensure you have the appropriate environment variables and SDKs installed.
# Install the necessary SDK for your project
npm install @anthropic-ai/sdk
# OR
pip install anthropic
Configure your API keys and initialize the skill to begin building with Claude-specific patterns and guardrails.
The Claude API Builder organizes its technical output based on the following metadata structure:
| Attribute | Description |
|---|---|
| Project Language | Automatically detected environment (e.g., Python, TypeScript) |
| Feature Set | The requested API capability (Streaming, Tools, Batch, Files) |
| Pattern Selection | The recommended SDK architecture (Simple vs. Stateful) |
| Caveats | Specific SDK or model-version limitations identified during generation |
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