Individual skill
clade-known-pitfalls
Common mistakes when building with the Anthropic API and how to avoid them. Use when working with known-pitfalls patterns. Trigger with "anthropic mistakes", "claude pitfalls", "anthropic gotchas", "common claude errors", "anthropic anti-patterns".
skills/.curated/clade-known-pitfalls/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- anthropic Declared skill tag
- claude Declared skill tag
- pitfalls Declared skill tag
- best-practices Declared skill tag
- engineering Derived category
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SKILL.mdcore · 5,226 bytesreferences/one-pager.mddoc · 1,720 bytes
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# Anthropic Known Pitfalls
## Overview
Ten common mistakes when building with the Anthropic API and how to avoid them: forgetting `max_tokens` (required), system prompt in messages array (wrong), non-alternating messages, unchecked `stop_reason`, creating client per request, no 529 handling, hardcoded model IDs, expensive output tokens, no streaming, and unnecessary PII.
## 1. Forgetting `max_tokens`
Unlike OpenAI, `max_tokens` is **required**. Omitting it returns a 400 error.
```typescript
// BAD
await client.messages.create({ model: 'claude-sonnet-4-20250514', messages });
// GOOD