A zero-dependency Python integration for the Anthropic Messages API, enabling chat completions, vision analysis, and tool calling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install anthropic
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 anthropic 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 Anthropic Claude API?
The Anthropic skill provides a robust, dependency-free interface to Claude state-of-the-art Large Language Models, including Opus, Sonnet, and Haiku. Designed for seamless integration into AI agent workflows, it facilitates complex interactions such as real-time streaming, multimodal image analysis, and structured tool use. By utilizing only the Python standard library, this Openclaw Skills component ensures a lightweight and secure environment for developers building next-generation AI applications.
Anthropic Claude API Use Cases
- Automating multi-turn conversational agents with custom system instructions.\n- Analyzing visual data through Claude multimodal vision capabilities.\n- Executing structured function calling and tool use for external data integration.\n- Processing high-volume requests efficiently using the Anthropic Batch API.\n- Deep reasoning and step-by-step problem solving with extended thinking mode.
How Anthropic Claude API Works
- The skill authenticates with the Anthropic API using a secure environment variable.\n2. Requests are constructed using the Messages API structure to support text, images, or tools.\n3. The Python script handles the HTTP communication using only standard libraries for maximum compatibility.\n4. Responses are returned as structured JSON for programmatic use or formatted text for human readability.\n5. Real-time interactions are managed through token streaming to reduce perceived latency within Openclaw Skills environments.
Anthropic Claude API Setup
To get started with this integration from the Openclaw Skills library, ensure you have Python 3.10 or higher and a valid API key.\n\nbash\n# Set your API key\nexport ANTHROPIC_API_KEY='your_api_key_here'\n\n# Send a test message to Claude\npython3 scripts/anthropic.py chat "Hello Claude, how are you?" --model claude-3-5-sonnet-20240620\n
Anthropic Claude API Data Schema & Taxonomy
This skill adheres to a strict data privacy policy where no information is stored locally. All data flows directly between the agent and Anthropic servers.\n\n| Component | Source/Format | Description |\n| :--- | :--- | :--- |\n| Authentication | ANTHROPIC_API_KEY | Required environment variable |\n| Input | CLI Arguments / JSONL | Text prompts, image paths, or batch files |\n| Output | JSON (Default) | Structured responses for agent consumption |\n| Human Output | --human flag | Formatted text for manual review |
Anthropic Claude API Advanced Features
- Extended thinking mode with configurable token budgets for complex reasoning tasks.\n- Comprehensive Batch API support for managing and retrieving results from high-throughput jobs.\n- Pre-flight token counting to estimate usage and costs before sending requests.\n- Native support for tool use and function calling with custom input schemas.\n- Multi-model flexibility allowing switching between Opus, Sonnet, and Haiku on the fly.
SKILL.md
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