agentsclimarketplace

Pino

Skill ComeOnOliver/skillshub/skills/TerminalSkills/skills/pino

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.From the repository description

Install
npx -y skills add ComeOnOliver/skillshub --skill pino

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.9 KB, 747 tokens by cl100k_base, as published. Nobody here has run it

Pino

Overview

Pino is the fastest Node.js logger — 5x faster than Winston. It outputs structured JSON logs by default, making them parseable by log aggregators (Datadog, Loki, ELK). Async logging ensures logging never blocks the event loop.

Instructions

Step 1: Basic Setup

// lib/logger.ts — Pino configuration
import pino from 'pino'

export const logger = pino({
  level: process.env.LOG_LEVEL || 'info',
  transport: process.env.NODE_ENV === 'development'
    ? { target: 'pino-pretty', options: { colorize: true } }    // pretty-print in dev
    : undefined,                                                   // JSON in production
  formatters: {
    level: (label) => ({ level: label }),                         // "level": "info" not "level": 30
  },
  base: {
    service: 'api',
    version: process.env.npm_package_version,
  },
})

// Usage
logger.info('Server started')
logger.info({ port: 3000, env: 'production' }, 'Server listening')
logger.error({ err, userId: '123' }, 'Payment processing failed')
logger.warn({ latencyMs: 2500, endpoint: '/api/reports' }, 'Slow request detected')

Step 2: Express Integration

// server.ts — Request logging middleware
import express from 'express'
import pinoHttp from 'pino-http'
import { logger } from './lib/logger'

const app = express()

app.use(pinoHttp({
  logger,
  autoLogging: true,
  customLogLevel: (req, res, err) => {
    if (res.statusCode >= 500 || err) return 'error'
    if (res.statusCode >= 400) return 'warn'
    return 'info'
  },
  customSuccessMessage: (req, res) =>
    `${req.method} ${req.url} ${res.statusCode}`,
  serializers: {
    req: (req) => ({
      method: req.method,
      url: req.url,
      query: req.query,
      userAgent: req.headers['user-agent'],
    }),
    res: (res) => ({
      statusCode: res.statusCode,
    }),
  },
}))

Step 3: Child Loggers

// Add context that persists across a request lifecycle
function createRequestLogger(req) {
  return logger.child({
    requestId: req.headers['x-request-id'] || crypto.randomUUID(),
    userId: req.user?.id,
    ip: req.ip,
  })
}

// Every log from this logger includes requestId, userId, ip
const reqLogger = createRequestLogger(req)
reqLogger.info('Processing order')
reqLogger.info({ orderId: 'ord_123', amount: 99.99 }, 'Order created')
// Output: {"level":"info","requestId":"abc-123","userId":"user-456","orderId":"ord_123","amount":99.99,"msg":"Order created"}

Guidelines

  • Always use structured JSON logging in production — not string interpolation.
  • Context first, message second: logger.info({ orderId }, 'Order created') not logger.info('Order created for ' + orderId).
  • Use child loggers to add request context (requestId, userId) that propagates to all logs.
  • Pino's async mode (pino({ transport })) prevents logging from blocking the event loop.
  • Use pino-pretty only in development — JSON logs are for machines, not humans.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.