Skip to content
Back to skills

Claude Api Neversight

ASecurity

Anthropic Claude API integration for building AI-powered applications. Use when working with Anthropic's Messages API, Claude SDKs (Python or TypeScript), tool use/function calling, vision/image inputs, streaming responses, prompt caching, message batches, token counting, extended thinking, PDF processing, or any Claude API integration task.

  • 57 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added October 17, 2026
ai-agentstypescriptpythonawsgcpapi

Works with

  • cli
  • api

Security analysis

A100/100

Scanned October 17, 2026

npx -y skills add diegosouzapw/awesome-omni-skill --skill claude-api-neversight --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Claude Api Neversight?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Claude Api Neversight
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/diegosouzapw-claude-api-neversight/badge)](https://www.skillsdirectory.com/skills/diegosouzapw-claude-api-neversight)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: claude-api
description: Anthropic Claude API integration for building AI-powered applications. Use when working with Anthropic's Messages API, Claude SDKs (Python or TypeScript), tool use/function calling, vision/image inputs, streaming responses, prompt caching, message batches, token counting, extended thinking, PDF processing, or any Claude API integration task.
---

# Claude API

Build applications with Anthropic's Claude API using official Python and TypeScript SDKs.

**Base URL:** `https://api.anthropic.com`

## Authentication

All requests require these headers (SDKs handle automatically):

| Header | Value |
|--------|-------|
| `x-api-key` | API key from [Console](https://platform.claude.com/settings/keys) |
| `anthropic-version` | `2023-06-01` |
| `content-type` | `application/json` |

## Quick Start

### Python

```python
from anthropic import Anthropic

client = Anthropic()  # Uses ANTHROPIC_API_KEY env var

message = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}]
)
print(message.content[0].text)
```

### TypeScript

```typescript
import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic();  // Uses ANTHROPIC_API_KEY env var

const message = await client.messages.create({
  model: "claude-sonnet-4-5-20250929",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Hello, Claude" }],
});
console.log(message.content[0].text);
```

## Available Models

| Model | Model ID | Best For | Pricing |
|-------|----------|----------|---------|
| Claude Sonnet 4.5 | `claude-sonnet-4-5-20250929` | Complex agents, coding (recommended) | $3/$15 per MTok |
| Claude Haiku 4.5 | `claude-haiku-4-5-20251001` | Fast, lightweight tasks | $1/$5 per MTok |
| Claude Opus 4.5 | `claude-opus-4-5-20251101` | Maximum intelligence | $5/$25 per MTok |

For complete model details, platform IDs (AWS Bedrock, GCP Vertex AI), and legacy models, see [references/models.md](references/models.md).

## Available APIs

| API | Endpoint | Purpose |
|-----|----------|---------|
| Messages | `POST /v1/messages` | Conversational interactions |
| Message Batches | `POST /v1/messages/batches` | Async bulk processing (50% cost reduction) |
| Token Counting | `POST /v1/messages/count_tokens` | Count tokens before sending |
| Models | `GET /v1/models` | List available models |
| Files (beta) | `/v1/files` | Upload/manage files across calls |

For full API details, rate limits, and third-party platforms, see [references/api-overview.md](references/api-overview.md).

## Core Capabilities

### Messages API
Basic chat completions, multi-turn conversations, system prompts, streaming responses.

### Tool Use
Define tools with JSON schemas, handle tool calls, return results to Claude.

### Vision
Send images (base64 or URL), analyze multiple images, extract information.

### Streaming
Real-time token streaming with event handlers or async iterators.

### Token Counting
Count tokens before sending requests to manage costs and rate limits.

## API & SDK References

- **API Overview**: See [references/api-overview.md](references/api-overview.md) - endpoints, authentication, rate limits, third-party platforms
- **Messages API**: See [references/messages-api.md](references/messages-api.md) - request/response structure, content types
- **Vision**: See [references/vision.md](references/vision.md) - image inputs, base64/URL/Files API sources, limits
- **Streaming**: See [references/streaming.md](references/streaming.md) - SSE events, deltas, error recovery
- **Python SDK**: See [references/python-sdk.md](references/python-sdk.md)
- **TypeScript SDK**: See [references/typescript-sdk.md](references/typescript-sdk.md)

## Advanced Features

- **Extended Thinking**: See [references/extended-thinking.md](references/extended-thinking.md) - step-by-step reasoning, tool use, interleaved thinking
- **Citations**: See [references/citations.md](references/citations.md) - document citations, source verification
- **Token Counting**: See [references/token-counting.md](references/token-counting.md) - count tokens before sending, free endpoint
- **Context Windows**: See [references/context-windows.md](references/context-windows.md) - 200K/1M context, context awareness
- **Prompt Caching**: See [references/prompt-caching.md](references/prompt-caching.md) - reduce latency and costs
- **Batches, PDFs**: See [references/advanced-features.md](references/advanced-features.md)

## Common Patterns

### Conversation Loop with Tools

```python
messages = [{"role": "user", "content": user_input}]

while True:
    response = client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        tools=tools,
        messages=messages
    )

    if response.stop_reason == "end_turn":
        break

    if response.stop_reason == "tool_use":
        messages.append({"role": "assistant", "content": response.content})
        tool_results = []
        for block in response.content:
            if block.type == "tool_use":
                result = execute_tool(block.name, block.input)
                tool_results.append({
                    "type": "tool_result",
                    "tool_use_id": block.id,
                    "content": result
                })
        messages.append({"role": "user", "content": tool_results})
```

### Error Handling with Retries

```python
from anthropic import RateLimitError
import time

def call_with_retry(fn, max_retries=3):
    for attempt in range(max_retries):
        try:
            return fn()
        except RateLimitError as e:
            if attempt == max_retries - 1:
                raise
            wait = int(e.response.headers.get("retry-after", 60))
            time.sleep(wait)
```

## Required Parameters

Every `messages.create()` call requires:

| Parameter | Description |
|-----------|-------------|
| `model` | Model ID (e.g., `claude-sonnet-4-5-20250929`) |
| `max_tokens` | Maximum tokens in response |
| `messages` | Array of message objects with `role` and `content` |

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.