clade-local-dev-loop

Set up a fast local development loop for building with the Anthropic API — Use when working with local-dev-loop patterns. hot reload, cost-saving tips, and test patterns. Trigger with "anthropic dev setup", "claude local development", "anthropic test locally", "claude dev workflow".

1,868 stars

Best use case

clade-local-dev-loop is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Set up a fast local development loop for building with the Anthropic API — Use when working with local-dev-loop patterns. hot reload, cost-saving tips, and test patterns. Trigger with "anthropic dev setup", "claude local development", "anthropic test locally", "claude dev workflow".

Teams using clade-local-dev-loop 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

$curl -o ~/.claude/skills/clade-local-dev-loop/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/claude-pack/skills/clade-local-dev-loop/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/clade-local-dev-loop/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How clade-local-dev-loop Compares

Feature / Agentclade-local-dev-loopStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Set up a fast local development loop for building with the Anthropic API — Use when working with local-dev-loop patterns. hot reload, cost-saving tips, and test patterns. Trigger with "anthropic dev setup", "claude local development", "anthropic test locally", "claude dev workflow".

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.

Related Guides

SKILL.md Source

# Anthropic Local Dev Loop

## Overview
Set up a fast, cheap development workflow for building with Claude.

## Prerequisites
- Node.js 18+ or Python 3.10+
- `ANTHROPIC_API_KEY` environment variable set
- npm or pip package manager

## Instructions

### Step 1: Project Setup
```bash
mkdir my-claude-app && cd my-claude-app
npm init -y
npm install @claude-ai/sdk dotenv tsx

# Create .env (never commit this)
echo 'ANTHROPIC_API_KEY=sk-ant-api03-...' > .env
echo '.env' >> .gitignore
```

### Step 2: Create a Test Script
```typescript
// src/test-prompt.ts
import 'dotenv/config';
import Anthropic from '@claude-ai/sdk';

const client = new Anthropic();

async function main() {
  const message = await client.messages.create({
    model: 'claude-haiku-4-5-20251001', // Use Haiku for dev — 20x cheaper than Opus
    max_tokens: 512,
    messages: [{ role: 'user', content: 'Summarize this in one sentence: ...' }],
  });

  console.log(message.content[0].text);
  console.log(`Cost: ~$${((message.usage.input_tokens * 0.80 + message.usage.output_tokens * 4) / 1_000_000).toFixed(4)}`);
}

main();
```

### Step 3: Run with Hot Reload
```bash
# Watch mode — re-runs on file changes
npx tsx watch src/test-prompt.ts

# Or one-shot
npx tsx src/test-prompt.ts
```

## Cost-Saving Dev Tips
| Tip | Savings |
|-----|---------|
| Use `claude-haiku-4-5-20251001` during development | 20x cheaper than Opus |
| Set `max_tokens: 256` for testing | Fewer output tokens billed |
| Cache your system prompt with prompt caching beta | 90% off cached input tokens |
| Use Message Batches for bulk testing (50% off) | Half price, 24h turnaround |
| Log responses locally so you don't re-call for the same input | 100% savings on repeats |

## Mock Client for Unit Tests
```typescript
// tests/mock-anthropic.ts
export function createMockClient() {
  return {
    messages: {
      create: async (params: any) => ({
        id: 'msg_test',
        type: 'message',
        role: 'assistant',
        model: params.model,
        content: [{ type: 'text', text: 'Mock response for testing' }],
        stop_reason: 'end_turn',
        usage: { input_tokens: 10, output_tokens: 5 },
      }),
    },
  };
}

// In your test:
import { createMockClient } from './mock-anthropic';
const client = process.env.MOCK ? createMockClient() : new Anthropic();
```

## Python Dev Loop
```bash
pip install anthropic python-dotenv ipython

# Interactive exploration
ANTHROPIC_API_KEY=sk-ant-... ipython
>>> import anthropic
>>> c = anthropic.Anthropic()
>>> r = c.messages.create(model="claude-haiku-4-5-20251001", max_tokens=100, messages=[{"role":"user","content":"hello"}])
>>> r.content[0].text
```

## Output
- Project scaffolded with SDK, dotenv, and tsx for hot reload
- Test script running against Claude Haiku (cheapest model)
- Mock client available for unit tests without API calls
- Cost estimate printed per request

## Error Handling
| Issue | Fix |
|-------|-----|
| `ANTHROPIC_API_KEY` not loading | Make sure `dotenv/config` is imported first |
| Slow iteration | Use Haiku, reduce max_tokens |
| High dev costs | Log responses, use mocks for unit tests |

## Examples
See Step 1 (project setup), Step 2 (test script with cost tracking), Step 3 (hot reload), Mock Client section, and Python Dev Loop section above.

## Resources
- [Quickstart Guide](https://docs.anthropic.com/en/docs/initial-setup)
- [TypeScript SDK](https://github.com/anthropics/claude-sdk-typescript)

## Next Steps
See `clade-sdk-patterns` for production client configuration.

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