structured-logging
Structured Logging System Design provides a comprehensive guide for implementing enterprise-grade logging architecture with centralized configuration, context propagation, and distributed tracing capabilities. Use this skill when establishing logging standards across services, adding observability to production systems, designing log architecture for multiple environments, or troubleshooting issues that require request tracing across distributed systems.
git clone --depth 1 https://github.com/majiayu000/spellbook /tmp/structured-logging && cp -r /tmp/structured-logging/skills/structured-logging ~/.claude/skills/structured-loggingSKILL.md
# Structured Logging System Design
## Core Principles
- **Logs are data** — Treat every log as a queryable, structured data point
- **Single source of truth** — One logging configuration, used everywhere
- **Context is king** — Every log must be traceable to its source and request
- **Human + Machine readable** — Structured for parsing, clear for debugging
- **Progressive enhancement** — Start simple, add fields as needed
- **No secrets** — Never log passwords, tokens, or PII without masking
---
## System Architecture
### The Golden Rule
> **Configure once, use everywhere. Never instantiate loggers directly in business code.**
### Architecture Overview
```
┌─────────────────────────────────────────────────────────────────┐
│ APPLICATION LAYER │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Service A│ │ Service B│ │ Service C│ │ Handler D│ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
│ │ │ │ │ │
│ └─────────────┴──────┬──────┴─────────────┘ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ LOGGING INFRASTRUCTURE │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────────┐ │ │
│ │ │ Logger │ │ Context │ │ Formatters & │ │ │
│ │ │ Factory │ │ Provider │ │ Transformers │ │ │
│ │ └─────────────┘ └─────────────┘ └─────────────────┘ │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │ │
└────────────────────────────┼────────────────────────────────────┘
▼
┌─────────────────────────────────────────────────────────────────┐
│ OUTPUT TARGETS │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Console │ │ File │ │ Log Agg. │ │ Metrics │ │
│ │ (Dev) │ │ (Local) │ │ (Prod) │ │ (Alerts) │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
└─────────────────────────────────────────────────────────────────┘
```
### Project Structure
```
src/
├── lib/
│ └── logging/ # Centralized logging infrastructure
│ ├── index.ts # Public API exports
│ ├── logger.ts # Core logger implementation
│ ├── context.ts # Request context management
│ ├── formatters.ts # Output formatters (JSON, pretty)
│ ├── transports.ts # Output destinations
│ ├── middleware.ts # Framework integrations
│ ├── decorators.ts # Method decorators (optional)
│ └── types.ts # Type definitions
├── modules/
│ ├── users/
│ │ └── user.service.ts # Uses: import { logger } from '@/lib/logging'
│ └── orders/
│ └── order.service.ts # Uses: import { logger } from '@/lib/logging'
└── main.ts # Initialize logging once at startup
```
### Anti-Patterns to Avoid
```typescript
// ❌ BAD: Creating loggers everywhere
class UserService {
private logger = new Logger({ service: 'user' }); // Don't do this
}
class OrderService {
private logger = new Logger({ service: 'order' }); // Duplicated config
}
// ❌ BAD: Inconsistent configuration
const logger1 = winston.createLogger({ format: json() });
const logger2 = winston.createLogger({ format: simple() }); // Different format!
// ❌ BAD: Direct console usage in production code
console.log('User created:', userId); // No structure, no context
// ❌ BAD: Passing logger instances around
function processOrder(order: Order, logger: Logger) { } // Don't pass loggers
```
### Correct Patterns
```typescript
// ✅ GOOD: Single configuration, exported singleton
// lib/logging/index.ts
export const logger = createLogger(config);
export { getContextLogger } from './context';
// ✅ GOOD: Import from central location
// modules/users/user.service.ts
import { logger, getContextLogger } from '@/lib/logging';
class UserService {
async createUser(data: CreateUserInput) {
const log = getContextLogger(); // Gets context automatically
log.info('Creating user', { email: data.email });
// ...
}
}
// ✅ GOOD: Configure once at application startup
// main.ts
import { initializeLogging } from '@/lib/logging';
initializeLogging({
service: 'my-app',
environment: process.env.NODE_ENV,
level: process.env.LOG_LEVEL || 'info',
});
```
## Log Record Schema
### Tier 1: Essential Fields (Always Required)
| Field | Type | Description | Example |
|-------|------|-------------|---------|
| `timestamp` | ISO 8601 | When the event occurred | `2025-12-16T10:30:00.123Z` |
| `level` | string | Log severity | `INFO`, `WARN`, `ERROR` |
| `message` | string | Human-readable description | `User login successful` |
| `service` | string | Service/application name | `user-auth` |
```json
{
"timestamp": "2025-12-16T10:30:00.123Z",
"level": "INFO",
"message": "Payment processed successfully",
"service": "payment-service"
}
```
### Tier 2: Tracing Fields (Distributed Systems)
| Field | Type | Description | Example |
|-------|------|-------------|---------|
| `trace_id` | string | Request chain identifier (32 hex) | `7b2e4f1a9c3d8e5b6a1f2c3d4e5f6a7b` |
| `span_id` | string | Current operation ID (16 hex) | `1a2b3c4d5e6f7890` |
| `parent_span_id` | string | Parent operation ID | `0987654321fedcba` |
| `request_id` | string | HTTP request identifier | `req_abc123` |
```json
{
"timestamp": "2025-12-16T10:30:00.123Z",
"level": "INFO",
"message": "Order created",
"service": "order-service",
"trace_id": "7b2e4f1a9c3d8e5b6a1f2c3d4e5f6a7b",
"span_id": "1a2b3c4d5e6f7890",
"request_id": "req_abc123"
}
```
### TierAudit AND optimize a CLAUDE.md / AGENTS.md instruction file — score it against the five high-leverage patterns, flag anti-patterns, then apply approved fixes in place. Use when the user says 优化 CLAUDE.md / 优化 AGENTS.md / optimize my agent doc / 帮我改 claudemd, or after an audit when they want the fixes applied (not just reported).
Generate or update repository-specific AGENTS.md instruction files from real repo evidence. Use when asked to create, design, scaffold, split, or improve root or scoped AGENTS.md files for Codex/Claude/agent workflows, especially when a repo needs directory-specific rules, validation commands, generated-file boundaries, or a short agent onboarding router.
REST/GraphQL/gRPC API design best practices. Use when designing APIs, defining contracts, handling versioning. Covers OpenAPI 3.2, GraphQL Federation, gRPC streaming.
Mobile app UI design expert for iOS and Android. Use when designing app interfaces, creating design systems, ensuring accessibility, or following platform guidelines. Covers Material Design 3, Human Interface Guidelines, color theory, typography, and 2025 trends.
End-to-end app feature inventory and user-story testing workflow with a canonical tracker. Use when the user asks to audit every feature, derive expected behavior from code, test user journeys, or explicitly fix and retest documented UX or logistical defects.
Design architecture foundations before implementation. Use when asked to design or refactor architecture, choose Rust/Go crate, package, module, runtime, workflow, or service boundaries, compare mature project architecture, prevent stacked one-off PRs, audit migration debt in existing repos, or produce a spec before coding.
Evidence-driven architecture research for understanding real systems and making technical decisions. Use when doing architecture landscape studies, source-backed system archaeology, build-vs-buy or adopt/adapt/build decisions, open-source and commercial comparisons, revisiting an earlier architecture choice, or handling requests such as 架构调研, 架构选型, 竞品架构, 技术尽调, 同类方案, 开源替代, how is X built, and what should we learn from X. Do not use for small mechanical changes, market-only discovery, or detailed design after the technology direction is already fixed.
Ask Grok or Gemini via opencli (browser-session based, no API cost). Use when the user says "问 grok", "问 gemini", "ask grok", "ask gemini", "用 grok 查", "grok 怎么看", "让 gemini 分析", or wants a second opinion from Grok/Gemini without paying API tokens. Routes to opencli which drives the already-logged-in Chrome session.