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antonyfmunoz
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anthropic_api

Generate, classify, and analyze text and images via the Anthropic Messages API.

1|Updated Mar 11, 2026
Search Tags:#claude#vision#generation#classification#tool use#anthropic#prompt caching
One-click install
npx skills add https://github.com/antonyfmunoz/OS --skill anthropic-api-antonyfmunoz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: anthropic_api
Source: https://github.com/antonyfmunoz/OS/tree/main/skills/tools/anthropic_api
Command: npx skills add https://github.com/antonyfmunoz/OS --skill anthropic-api-antonyfmunoz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps orchestrate high-quality Claude (Anthropic) text generation, classification, and analysis for business applications while providing consistent integration patterns.

Core Features & Use Cases

  • Claude Messages API access: Use Anthropic’s structured Messages API for generation, analysis, classification, and conversational turn handling.
  • Multimodal capability: Perform vision/image analysis by sending image content blocks alongside text.
  • Tool-use workflows: Enable function calling via JSON tool schemas and handle tool_use / tool_result flows.
  • Operational controls: Support streaming responses, extended thinking budgets, and prompt caching to reduce repeated-context cost.
  • EOS routing integration: Apply task-type model routing (e.g., Haiku for scoring/classification, Sonnet for generation/analysis, Opus for strategic work) through the repository’s model router and fallback chain.

Quick Start

Ask your AI agent to analyze an incoming user request and return a structured summary using Claude via EOS’s model router routing for the appropriate task type.

Frequently Asked Questions about anthropic_api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate the Anthropic Messages API for structured text generation and classification?▼

The Anthropic Messages API enables structured text generation and classification by configuring explicit max_tokens, optional system prompts, and handling responses based on stop_reason and content block types. It applies consistent integration patterns for conversational turn handling and business workflows.

Can I use Claude for vision-based image analysis alongside text generation?▼

Yes, Claude supports multimodal vision-based image analysis by sending image content blocks alongside text prompts. This enables simultaneous image understanding and text processing within the same conversational or analytical workflow.

How do I implement tool-calling workflows with JSON schemas using the Anthropic API?▼

Tool-calling workflows are implemented by defining JSON tool schemas and managing tool_use and tool_result content blocks. This enables function calling capabilities for agent-driven tasks requiring structured outputs and external data retrieval.

Does the Claude API support streaming responses and prompt caching to reduce operational costs?▼

Yes, the Claude API supports streaming outputs for real-time response delivery and prompt caching to reduce repeated-context costs. These operational controls optimize both latency and token usage for high-volume applications.

What is the best way to route Claude models for different task types like scoring or strategic analysis?▼

Task-type model routing optimizes performance by assigning Haiku for scoring and classification, Sonnet for generation and analysis, and Opus for strategic work. This approach uses a model router and fallback chain to balance cost and capability.

Do I need specific credentials to use the Anthropic Messages API for agent-driven workflows?▼

Yes, using the Anthropic Messages API requires configured Anthropic API credentials. This prerequisite ensures secure access to generation, classification, and multimodal analysis capabilities for agent-driven workflows.

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