bamboohr-local-dev-loop
Configure BambooHR local development with hot reload, mocking, and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with BambooHR API. Trigger with phrases like "bamboohr dev setup", "bamboohr local development", "bamboohr dev environment", "develop with bamboohr", "bamboohr mock".
What this skill does
# BambooHR Local Dev Loop
## Overview
Set up a fast, reproducible local development workflow for BambooHR integrations with request mocking, hot reload, and integration testing against the real API.
## Prerequisites
- Completed `bamboohr-install-auth` setup
- Node.js 18+ with npm or pnpm
- `BAMBOOHR_API_KEY` and `BAMBOOHR_COMPANY_DOMAIN` set in `.env`
## Instructions
### Step 1: Project Structure
```
my-bamboohr-project/
├── src/
│ ├── bamboohr/
│ │ ├── client.ts # Reusable API client
│ │ ├── types.ts # BambooHR response types
│ │ └── employees.ts # Employee operations
│ └── index.ts
├── tests/
│ ├── mocks/
│ │ └── bamboohr.ts # API response fixtures
│ ├── unit/
│ │ └── employees.test.ts
│ └── integration/
│ └── bamboohr.test.ts
├── .env.local # Real API key (git-ignored)
├── .env.example # Template for team
├── .env.test # Test config (sandbox key)
└── package.json
```
### Step 2: Create Reusable API Client
```typescript
// src/bamboohr/client.ts
import 'dotenv/config';
export class BambooHRClient {
private baseUrl: string;
private authHeader: string;
constructor(companyDomain?: string, apiKey?: string) {
const domain = companyDomain || process.env.BAMBOOHR_COMPANY_DOMAIN!;
const key = apiKey || process.env.BAMBOOHR_API_KEY!;
this.baseUrl = `https://api.bamboohr.com/api/gateway.php/${domain}/v1`;
this.authHeader = `Basic ${Buffer.from(`${key}:x`).toString('base64')}`;
}
async request<T>(path: string, options: RequestInit = {}): Promise<T> {
const res = await fetch(`${this.baseUrl}${path}`, {
...options,
headers: {
Authorization: this.authHeader,
Accept: 'application/json',
'Content-Type': 'application/json',
...options.headers,
},
});
if (!res.ok) {
const errMsg = res.headers.get('X-BambooHR-Error-Message') || res.statusText;
throw new BambooHRError(res.status, errMsg, path);
}
return res.json() as Promise<T>;
}
async getEmployee(id: number | string, fields: string[]): Promise<Record<string, string>> {
return this.request(`/employees/${id}/?fields=${fields.join(',')}`);
}
async getDirectory(): Promise<{ employees: BambooEmployee[] }> {
return this.request('/employees/directory');
}
}
export class BambooHRError extends Error {
constructor(public status: number, message: string, public path: string) {
super(`BambooHR ${status}: ${message} [${path}]`);
this.name = 'BambooHRError';
}
}
```
### Step 3: Setup Hot Reload and Scripts
```json
{
"scripts": {
"dev": "tsx watch src/index.ts",
"test": "vitest run",
"test:watch": "vitest --watch",
"test:integration": "DOTENV_CONFIG_PATH=.env.test vitest run tests/integration/",
"typecheck": "tsc --noEmit"
},
"devDependencies": {
"tsx": "^4.0.0",
"vitest": "^2.0.0",
"typescript": "^5.5.0",
"msw": "^2.0.0"
}
}
```
### Step 4: Mock BambooHR API with MSW
```typescript
// tests/mocks/bamboohr.ts
import { http, HttpResponse } from 'msw';
const MOCK_COMPANY = 'testcompany';
const BASE = `https://api.bamboohr.com/api/gateway.php/${MOCK_COMPANY}/v1`;
export const bamboohrHandlers = [
// Employee directory
http.get(`${BASE}/employees/directory`, () => {
return HttpResponse.json({
fields: [{ id: 'displayName', type: 'text', name: 'Display Name' }],
employees: [
{
id: '1', displayName: 'Jane Smith', firstName: 'Jane',
lastName: 'Smith', jobTitle: 'Engineer', department: 'Engineering',
workEmail: '[email protected]', location: 'Remote',
},
{
id: '2', displayName: 'Bob Jones', firstName: 'Bob',
lastName: 'Jones', jobTitle: 'Designer', department: 'Design',
workEmail: '[email protected]', location: 'NYC',
},
],
});
}),
// Single employee
http.get(`${BASE}/employees/:id/`, ({ params }) => {
return HttpResponse.json({
id: params.id, firstName: 'Jane', lastName: 'Smith',
jobTitle: 'Engineer', department: 'Engineering',
hireDate: '2023-01-15', workEmail: '[email protected]',
status: 'Active',
});
}),
// Custom report
http.post(`${BASE}/reports/custom`, () => {
return HttpResponse.json({
title: 'Test Report', employees: [
{ firstName: 'Jane', lastName: 'Smith', department: 'Engineering' },
],
});
}),
];
```
### Step 5: Write Unit Tests
```typescript
// tests/unit/employees.test.ts
import { describe, it, expect, beforeAll, afterAll, afterEach } from 'vitest';
import { setupServer } from 'msw/node';
import { bamboohrHandlers } from '../mocks/bamboohr';
import { BambooHRClient } from '../../src/bamboohr/client';
const server = setupServer(...bamboohrHandlers);
beforeAll(() => server.listen({ onUnhandledRequest: 'error' }));
afterEach(() => server.resetHandlers());
afterAll(() => server.close());
describe('BambooHRClient', () => {
const client = new BambooHRClient('testcompany', 'fake-key');
it('fetches the employee directory', async () => {
const dir = await client.getDirectory();
expect(dir.employees).toHaveLength(2);
expect(dir.employees[0].displayName).toBe('Jane Smith');
});
it('fetches a single employee', async () => {
const emp = await client.getEmployee(1, ['firstName', 'lastName', 'jobTitle']);
expect(emp.firstName).toBe('Jane');
expect(emp.jobTitle).toBe('Engineer');
});
});
```
### Step 6: Integration Test Against Real API
```typescript
// tests/integration/bamboohr.test.ts
import { describe, it, expect } from 'vitest';
import { BambooHRClient } from '../../src/bamboohr/client';
const HAS_KEY = !!process.env.BAMBOOHR_API_KEY;
describe.skipIf(!HAS_KEY)('BambooHR Integration', () => {
const client = new BambooHRClient();
it('should fetch the real employee directory', async () => {
const dir = await client.getDirectory();
expect(dir.employees.length).toBeGreaterThan(0);
expect(dir.employees[0]).toHaveProperty('displayName');
}, 15_000);
});
```
## Output
- Reusable `BambooHRClient` with typed methods
- MSW mocks for offline development
- Unit tests with mocked API
- Integration tests gated on `BAMBOOHR_API_KEY` presence
- Hot-reload dev server via `tsx watch`
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `BambooHRError 401` | Wrong key in `.env.local` | Re-copy from BambooHR dashboard |
| MSW `onUnhandledRequest` | Unmocked endpoint hit | Add handler to `bamboohrHandlers` |
| `ECONNREFUSED` in tests | MSW server not started | Ensure `beforeAll(() => server.listen())` |
| Slow integration tests | Real API latency | Increase vitest timeout to 15s |
## Resources
- [MSW Documentation](https://mswjs.io/)
- [Vitest Documentation](https://vitest.dev/)
- [BambooHR API Technical Overview](https://documentation.bamboohr.com/docs/api-details)
## Next Steps
See `bamboohr-sdk-patterns` for production-ready code patterns.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.