anthropic
Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Claude Opus, Sonnet, and Haiku models, process images, use tool calling, and manage conversations. Built for AI agents — Python stdlib only, zero dependencies. Use for AI text generation, multimodal analysis, tool-augmented AI, batch processing, and Claude model interaction.
Best use case
anthropic is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Claude Opus, Sonnet, and Haiku models, process images, use tool calling, and manage conversations. Built for AI agents — Python stdlib only, zero dependencies. Use for AI text generation, multimodal analysis, tool-augmented AI, batch processing, and Claude model interaction.
Teams using anthropic should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/anthropic/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How anthropic Compares
| Feature / Agent | anthropic | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Claude Opus, Sonnet, and Haiku models, process images, use tool calling, and manage conversations. Built for AI agents — Python stdlib only, zero dependencies. Use for AI text generation, multimodal analysis, tool-augmented AI, batch processing, and Claude model interaction.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 🔮 Anthropic
Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API.
## Features
- **Messages API** — Claude Opus, Sonnet, Haiku completions
- **Streaming** — real-time token streaming responses
- **Vision** — image analysis and understanding
- **Tool use** — function calling with structured output
- **System prompts** — custom system instructions
- **Multi-turn conversations** — context management
- **Batch API** — bulk message processing
- **Token counting** — estimate usage before sending
- **Extended thinking** — deep reasoning mode
- **Model listing** — available models and capabilities
## Requirements
| Variable | Required | Description |
|----------|----------|-------------|
| `ANTHROPIC_API_KEY` | ✅ | API key/token for Anthropic |
## Quick Start
```bash
# Send a message to Claude
python3 {baseDir}/scripts/anthropic.py chat "What is the meaning of life?" --model claude-sonnet-4-20250514
```
```bash
# Chat with system prompt
python3 {baseDir}/scripts/anthropic.py chat-system --system "You are a financial analyst" "Analyze AAPL stock"
```
```bash
# Analyze an image
python3 {baseDir}/scripts/anthropic.py chat-image --image photo.jpg 'What do you see in this image?'
```
```bash
# Stream a response
python3 {baseDir}/scripts/anthropic.py stream "Write a short story about a robot" --model claude-sonnet-4-20250514
```
## Commands
### `chat`
Send a message to Claude.
```bash
python3 {baseDir}/scripts/anthropic.py chat "What is the meaning of life?" --model claude-sonnet-4-20250514
```
### `chat-system`
Chat with system prompt.
```bash
python3 {baseDir}/scripts/anthropic.py chat-system --system "You are a financial analyst" "Analyze AAPL stock"
```
### `chat-image`
Analyze an image.
```bash
python3 {baseDir}/scripts/anthropic.py chat-image --image photo.jpg 'What do you see in this image?'
```
### `stream`
Stream a response.
```bash
python3 {baseDir}/scripts/anthropic.py stream "Write a short story about a robot" --model claude-sonnet-4-20250514
```
### `batch-create`
Create a batch request.
```bash
python3 {baseDir}/scripts/anthropic.py batch-create requests.jsonl
```
### `batch-list`
List batch jobs.
```bash
python3 {baseDir}/scripts/anthropic.py batch-list
```
### `batch-get`
Get batch status.
```bash
python3 {baseDir}/scripts/anthropic.py batch-get batch_abc123
```
### `batch-results`
Get batch results.
```bash
python3 {baseDir}/scripts/anthropic.py batch-results batch_abc123
```
### `count-tokens`
Count tokens in a message.
```bash
python3 {baseDir}/scripts/anthropic.py count-tokens "How many tokens is this message?"
```
### `models`
List available models.
```bash
python3 {baseDir}/scripts/anthropic.py models
```
### `tools`
Chat with tool use.
```bash
python3 {baseDir}/scripts/anthropic.py tools --tools '[{"name":"get_weather","description":"Get weather","input_schema":{"type":"object","properties":{"location":{"type":"string"}}}}]' "What is the weather in NYC?"
```
### `thinking`
Extended thinking mode.
```bash
python3 {baseDir}/scripts/anthropic.py thinking "Solve this math problem step by step: what is 123 * 456?" --budget 10000
```
## Output Format
All commands output JSON by default. Add `--human` for readable formatted output.
```bash
# JSON (default, for programmatic use)
python3 {baseDir}/scripts/anthropic.py chat --limit 5
# Human-readable
python3 {baseDir}/scripts/anthropic.py chat --limit 5 --human
```
## Script Reference
| Script | Description |
|--------|-------------|
| `{baseDir}/scripts/anthropic.py` | Main CLI — all Anthropic operations |
## Data Policy
This skill **never stores data locally**. All requests go directly to the Anthropic API and results are returned to stdout. Your data stays on Anthropic servers.
## Credits
---
Built by [M. Abidi](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)Related Skills
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