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logging-best-practices记录最佳实践

Agent Skill

logging-best-practices 用于补充开发规范相关能力,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 承接开发规范相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

423

周安装

18

GitHub Stars

公开资料未说明

下载量

148
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:logging-best-practices(记录最佳实践)
来源仓库:https://github.com/trancong12102/ccc
仓库路径:skills/logging-best-practices
安装命令:
npx skills add trancong12102/ccc --skill "logging-best-practices"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add trancong12102/ccc --skill "logging-best-practices"

简介

提供日志记录的最佳实践指南,提升代码可观测性。

  • 适合在开发过程中规范日志级别、格式和上下文输出。
  • 通过 npx skills add 命令从 trancong12102/ccc 仓库安装。
  • 需结合实际项目语言和环境调整实践建议。logging-best-practices 属于开发规范类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合源码了解具体推荐的日志框架和埋点策略。

SKILL.md

name
logging-best-practices
description
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics
license
MIT
metadata
author
boristane
version
1.0.0

Logging Best Practices Skill

Version: 1.0.0

Purpose

This skill provides guidelines for implementing effective logging in applications. It focuses on wide events (also called canonical log lines) - a pattern where you emit a single, context-rich event per request per service, enabling powerful debugging and analytics.

When to Apply

Apply these guidelines when:

  • Writing or reviewing logging code
  • Adding console.log, logger.info, or similar
  • Designing logging strategy for new services
  • Setting up logging infrastructure

Core Principles

1. Wide Events (CRITICAL)

Emit one context-rich event per request per service. Instead of scattering log lines throughout your handler, consolidate everything into a single structured event emitted at request completion.

const wideEvent: Record<string, unknown> = {
  method: 'POST',
  path: '/checkout',
  requestId: c.get('requestId'),
  timestamp: new Date().toISOString(),
};

try {
  const user = await getUser(c.get('userId'));
  wideEvent.user = { id: user.id, subscription: user.subscription };

  const cart = await getCart(user.id);
  wideEvent.cart = { total_cents: cart.total, item_count: cart.items.length };

  wideEvent.status_code = 200;
  wideEvent.outcome = 'success';
  return c.json({ success: true });
} catch (error) {
  wideEvent.status_code = 500;
  wideEvent.outcome = 'error';
  wideEvent.error = { message: error.message, type: error.name };
  throw error;
} finally {
  wideEvent.duration_ms = Date.now() - startTime;
  logger.info(wideEvent);
}

2. High Cardinality & Dimensionality (CRITICAL)

Include fields with high cardinality (user IDs, request IDs - millions of unique values) and high dimensionality (many fields per event). This enables querying by specific users and answering questions you haven't anticipated yet.

3. Business Context (CRITICAL)

Always include business context: user subscription tier, cart value, feature flags, account age. The goal is to know "a premium customer couldn't complete a $2,499 purchase" not just "checkout failed."

4. Environment Characteristics (CRITICAL)

Include environment and deployment info in every event: commit hash, service version, region, instance ID. This enables correlating issues with deployments and identifying region-specific problems.

5. Single Logger (HIGH)

Use one logger instance configured at startup and import it everywhere. This ensures consistent formatting and automatic environment context.

6. Middleware Pattern (HIGH)

Use middleware to handle wide event infrastructure (timing, status, environment, emission). Handlers should only add business context.

7. Structure & Consistency (HIGH)

  • Use JSON format consistently
  • Maintain consistent field names across services
  • Simplify to two log levels: info and error
  • Never log unstructured strings

Anti-Patterns to Avoid

  1. Scattered logs: Multiple console.log() calls per request
  2. Multiple loggers: Different logger instances in different files
  3. Missing environment context: No commit hash or deployment info
  4. Missing business context: Logging technical details without user/business data
  5. Unstructured strings: console.log('something happened') instead of structured data
  6. Inconsistent schemas: Different field names across services

Guidelines

Wide Events (rules/wide-events.md)

  • Emit one wide event per service hop
  • Include all relevant context
  • Connect events with request ID
  • Emit at request completion in finally block

Context (rules/context.md)

  • Support high cardinality fields (user_id, request_id)
  • Include high dimensionality (many fields)
  • Always include business context
  • Always include environment characteristics (commit_hash, version, region)

Structure (rules/structure.md)

  • Use a single logger throughout the codebase
  • Use middleware for consistent wide events
  • Use JSON format
  • Maintain consistent schema
  • Simplify to info and error levels
  • Never log unstructured strings

Common Pitfalls (rules/pitfalls.md)

  • Avoid multiple log lines per request
  • Design for unknown unknowns
  • Always propagate request IDs across services

References:

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.61%
按下载量换算42

Antigravity

21.2%
按下载量换算31

windsurf

16.39%
按下载量换算24

trae

13.75%
按下载量换算20

OpenCode

7.87%
按下载量换算12

Codex

3.71%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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