Anthropic Local Dev Loop
SkillAI & models"Set up a fast local development loop for building with the Anthropic\
Use Anthropic Local Dev Loop in Claude, ChatGPT or Ahel Desktop
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/clade-local-dev-loop/SKILL.md and read by ahel’s review.
Overview
Set up a fast, cheap development workflow for building with Claude.
Prerequisites
- Node.js 18+ or Python 3.10+
ANTHROPIC_API_KEYenvironment variable set- npm or pip package manager
Instructions
Step 1: Project Setup
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
// 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
# 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
// 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
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
- TypeScript SDK
Next Steps
See clade-sdk-patterns for production client configuration.
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
clade-local-dev-loop- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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