---
name: Claude API
slug: claude-api-3
category: AI Engineering
description: Claude API provides guidance for building against Anthropic APIs and SDKs, including Messages, streaming, prompt caching, tool use, batches, and files. Use it when integrating Claude into applications or agent workflows.
github: "https://github.com/oboard/claude-code-rev/tree/main/src/skills/bundled/claude-api"
language: TypeScript
stars: 3281
forks: 3821
install: "npx degit https://github.com/oboard/claude-code-rev/tree/main/src/skills/bundled/claude-api ~/.claude/skills/claude-api"
installs_to: ~/.claude/skills/claude-api
source_path: src/skills/bundled/claude-api/SKILL.md
collection_size: 2
category_size: 2451
collection_url: "https://dirskills.com/collections/oboard/claude-code-rev"
added: 2026-08-17T07:08:31.979Z
last_synced: 2026-08-17T07:08:31.979Z
canonical_url: "https://dirskills.com/skills/claude-api-3"
---

# Claude API

Claude API provides guidance for building against Anthropic APIs and SDKs, including Messages, streaming, prompt caching, tool use, batches, and files. Use it when integrating Claude into applications or agent workflows.

**Install:**

```bash
npx degit https://github.com/oboard/claude-code-rev/tree/main/src/skills/bundled/claude-api ~/.claude/skills/claude-api
```

## README

# Claude API

Use this skill when the user is building against Anthropic APIs or SDKs, including `@anthropic-ai/sdk`, `anthropic`, or Agent SDK integrations.

## What This Skill Covers

- Messages API basics across supported languages
- Streaming responses and incremental rendering
- Prompt caching for repeated context
- Tool use and agent-style orchestration
- Batches and Files API workflows
- Model selection and error handling

## Working Rules

- Prefer Anthropic official docs and SDK idioms over generic LLM advice.
- Keep examples aligned with the user’s detected language when possible.
- Use the language-specific `README.md` for standard request flow, auth, and request shape.
- Use the shared docs for topics that cut across all SDKs, such as models, caching, tool-use concepts, and error codes.
- If the user asks for exact current model IDs, feature availability, or pricing, verify against Anthropic’s live docs before answering.

## Reading Guide

- Basic request/response flow: `{lang}/claude-api/README.md`
- Streaming output: `{lang}/claude-api/streaming.md`
- Tool use: `shared/tool-use-concepts.md` and `{lang}/claude-api/tool-use.md`
- Prompt caching: `shared/prompt-caching.md`
- Batch processing: `{lang}/claude-api/batches.md`
- File upload flows: `{lang}/claude-api/files-api.md`
- Model choice or naming: `shared/models.md`
- API and SDK failures: `shared/error-codes.md`
- Live sources for fresh answers: `shared/live-sources.md`

## Response Style

- Give production-usable examples, not pseudocode, when the user asks for implementation help.
- Call out when you are making an inference from the docs rather than repeating an explicit guarantee.
- If the user’s request depends on fast-changing details such as model names or pricing, browse Anthropic docs and cite the relevant page.