clade-sdk-patterns
Production-ready Anthropic SDK patterns — client config, retries, timeouts, Use when working with sdk-patterns patterns. error handling, TypeScript types, and async patterns. Trigger with "anthropic sdk", "claude client setup", "anthropic typescript", "anthropic python patterns".
Best use case
clade-sdk-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Production-ready Anthropic SDK patterns — client config, retries, timeouts, Use when working with sdk-patterns patterns. error handling, TypeScript types, and async patterns. Trigger with "anthropic sdk", "claude client setup", "anthropic typescript", "anthropic python patterns".
Teams using clade-sdk-patterns 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/clade-sdk-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clade-sdk-patterns Compares
| Feature / Agent | clade-sdk-patterns | 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?
Production-ready Anthropic SDK patterns — client config, retries, timeouts, Use when working with sdk-patterns patterns. error handling, TypeScript types, and async patterns. Trigger with "anthropic sdk", "claude client setup", "anthropic typescript", "anthropic python patterns".
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.
SKILL.md Source
# Anthropic SDK Patterns
## Overview
Production patterns for the `@claude-ai/sdk` (TypeScript) and `anthropic` (Python) SDKs.
## Client Configuration
## Instructions
### Step 1: TypeScript
```typescript
import Anthropic from '@claude-ai/sdk';
// Default — reads ANTHROPIC_API_KEY from env
const client = new Anthropic();
// Full configuration
const client = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY, // default: env var
maxRetries: 3, // default: 2
timeout: 60_000, // default: 10 minutes
baseURL: 'https://api.anthropic.com', // override for proxies
defaultHeaders: { // custom headers
'claude-beta': 'prompt-caching-2024-07-31',
},
});
```
### Step 2: Python
```python
import anthropic
# Sync client
client = anthropic.Anthropic()
# Async client
client = anthropic.AsyncAnthropic()
# Full configuration
client = anthropic.Anthropic(
api_key=os.environ["ANTHROPIC_API_KEY"],
max_retries=3,
timeout=60.0,
base_url="https://api.anthropic.com",
default_headers={"claude-beta": "prompt-caching-2024-07-31"},
)
```
## Output
- Properly configured client with retries, timeouts, and custom headers
- Type-safe error handling with specific exception classes
- Streaming implementation using your preferred pattern
- Prompt caching enabled for repeated system prompts (90% cost savings)
- Batch processing configured for bulk operations (50% cost savings)
## Error Handling
```typescript
import Anthropic from '@claude-ai/sdk';
try {
const message = await client.messages.create({ ... });
} catch (err) {
if (err instanceof Anthropic.AuthenticationError) {
// 401 — bad API key
} else if (err instanceof Anthropic.RateLimitError) {
// 429 — back off and retry
} else if (err instanceof Anthropic.APIError) {
// All other API errors
console.error(err.status, err.error?.type, err.message);
} else if (err instanceof Anthropic.APIConnectionError) {
// Network failure — DNS, timeout, etc.
}
}
```
```python
try:
message = client.messages.create(...)
except anthropic.AuthenticationError:
... # 401
except anthropic.RateLimitError:
... # 429
except anthropic.APIStatusError as e:
print(e.status_code, e.message)
except anthropic.APIConnectionError:
... # network failure
```
## Streaming Patterns
### Event-Based (TypeScript)
```typescript
const stream = client.messages.stream({
model: 'claude-sonnet-4-20250514',
max_tokens: 2048,
messages,
});
stream.on('text', (text) => process.stdout.write(text));
stream.on('error', (err) => console.error('Stream error:', err));
stream.on('end', () => console.log('\nDone'));
const finalMessage = await stream.finalMessage();
```
### Async Iterator (TypeScript)
```typescript
const stream = await client.messages.create({
model: 'claude-sonnet-4-20250514',
max_tokens: 2048,
messages,
stream: true,
});
for await (const event of stream) {
if (event.type === 'content_block_delta') {
process.stdout.write(event.delta.text || '');
}
}
```
### Context Manager (Python)
```python
with client.messages.stream(
model="claude-sonnet-4-20250514",
max_tokens=2048,
messages=messages,
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
message = stream.get_final_message()
```
## TypeScript Types
```typescript
import Anthropic from '@claude-ai/sdk';
// Message types
type Message = Anthropic.Message;
type MessageParam = Anthropic.MessageParam;
type ContentBlock = Anthropic.ContentBlock;
type TextBlock = Anthropic.TextBlock;
type ToolUseBlock = Anthropic.ToolUseBlock;
// Tool types
type Tool = Anthropic.Tool;
type ToolResultBlockParam = Anthropic.ToolResultBlockParam;
// Request/response
type MessageCreateParams = Anthropic.MessageCreateParams;
```
## Prompt Caching (Beta)
```typescript
const message = await client.messages.create({
model: 'claude-sonnet-4-20250514',
max_tokens: 1024,
system: [
{
type: 'text',
text: longSystemPrompt, // 1024+ tokens to be cacheable
cache_control: { type: 'ephemeral' },
},
],
messages: [{ role: 'user', content: userQuestion }],
}, {
headers: { 'claude-beta': 'prompt-caching-2024-07-31' },
});
// Cache hit: 90% cheaper on input tokens
// message.usage.cache_creation_input_tokens / cache_read_input_tokens
```
## Message Batches
```typescript
// Submit up to 10,000 messages as a batch (50% cheaper, 24h SLA)
const batch = await client.messages.batches.create({
requests: items.map((item, i) => ({
custom_id: `item-${i}`,
params: {
model: 'claude-sonnet-4-20250514',
max_tokens: 1024,
messages: [{ role: 'user', content: item.prompt }],
},
})),
});
// Poll for completion
let status = await client.messages.batches.retrieve(batch.id);
while (status.processing_status !== 'ended') {
await new Promise(r => setTimeout(r, 30000));
status = await client.messages.batches.retrieve(batch.id);
}
```
## Examples
See Client Configuration, Error Handling, Streaming Patterns, TypeScript Types, Prompt Caching, and Message Batches sections above for complete code examples.
## Resources
- [TypeScript SDK](https://github.com/anthropics/claude-sdk-typescript)
- [Python SDK](https://github.com/anthropics/claude-sdk-python)
- [Prompt Caching](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching)
- [Message Batches](https://docs.anthropic.com/en/api/creating-message-batches)
## Next Steps
See `clade-rate-limits` for throughput optimization.
## Prerequisites
- Completed `clade-install-auth`
- Familiarity with TypeScript generics or Python type hints
- Understanding of async/await patternsRelated Skills
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