Guide Claude API and Agent SDK integration across multiple language SDKs.
npx skills add https://github.com/thimslugga/agent-skills --skill claude-api-thimslugga
Please help me install this Agent Skill. Skill: claude-api Source: https://github.com/thimslugga/agent-skills/tree/main/skills/development/claude-api Command: npx skills add https://github.com/thimslugga/agent-skills --skill claude-api-thimslugga
## What problem does it solve? This Skill provides a comprehensive guide to integrating Claude via the Claude API and official SDKs, enabling developers to rapidly build, test, and deploy Claude-powered applications. It standardizes patterns for multi-language clients, streaming, tool use, files, and batch processing. The skill also documents best practices for error handling, compaction, and prompt caching.
## Core Features & Use Cases Cross-language SDK support (Python, TS, Java, Go, Ruby, PHP) and REST usage. Streaming responses and incremental deltas. Tool usage loops (tool_runner/manual loops) including tool results. Files API, batch processing, memory tools, and structured outputs. Guidance on error handling, retry strategies, and compaction.
Send a simple user message through your chosen language SDK to receive Claude's reply.
High-intent search queries and answers about installing and using this skill.
You can integrate the Claude API by installing the official Python or TypeScript SDKs and sending a simple user message to receive Claude's reply, applying standardized patterns for multi-language clients and structured outputs.
The best way to handle streaming responses with the Claude API is to process incremental deltas provided by the SDKs, which allows your application to consume Claude's output progressively as it is generated.
Yes, the Claude API supports tool usage loops and agent patterns across Python, Java, Go, Ruby, PHP, and TypeScript, enabling manual loops and tool results within your application workflows.
Yes, you can use batch processing and the Files API with the Claude SDK to handle bulk operations and document inputs, while also leveraging prompt caching and memory tools for efficient context management.
You can manage error handling and retry strategies for Claude API requests by following documented best practices for compaction and retry loops, ensuring robust multi-language client resilience during integration.
Limitations of using the Claude API for structured outputs involve navigating strict YAML metadata validation and optional resources directories, requiring careful compaction and prompt caching to manage context limits.
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