juicebox-local-dev-loop
FeaturedConfigure Juicebox local dev workflow. Trigger: "juicebox local dev", "juicebox dev setup".
AI & Automation 2,266 stars
315 forks Updated today MIT
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Skill Content
# Juicebox Local Dev Loop
## Overview
Local development workflow for Juicebox AI-powered people analysis and recruiting API integration. Provides a fast feedback loop with mock profile search results and candidate enrichment data so you can build talent pipeline tools without consuming live API credits. Toggle between mock mode for rapid iteration and sandbox mode for validating against the real Juicebox API.
## Environment Setup
```bash
cp .env.example .env
# Set your credentials:
# JUICEBOX_API_KEY=jb_live_xxxxxxxxxxxx
# JUICEBOX_BASE_URL=https://api.juicebox.work/v1
# MOCK_MODE=true
npm install express axios dotenv tsx typescript @types/node
npm install -D vitest supertest @types/express
```
## Dev Server
```typescript
// src/dev/server.ts
import express from "express";
import { createProxyMiddleware } from "http-proxy-middleware";
const app = express();
app.use(express.json());
const MOCK = process.env.MOCK_MODE === "true";
if (!MOCK) {
app.use("/v1", createProxyMiddleware({
target: process.env.JUICEBOX_BASE_URL,
changeOrigin: true,
headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}` },
}));
} else {
const { mountMockRoutes } = require("./mocks");
mountMockRoutes(app);
}
app.listen(3004, () => console.log(`Juicebox dev server on :3004 [mock=${MOCK}]`));
```
## Mock Mode
```typescript
// src/dev/mocks.ts — realistic people search and enrichment responses
export function mountMockRoutes(app: any) {
app.post("/v1/search", (req: any, r...
Details
- Author
- jeremylongshore
- Repository
- jeremylongshore/claude-code-plugins-plus-skills
- Created
- 7 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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