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slf4jslf4j 命令行

Agent Skill

slf4j 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

685

周安装

28

GitHub Stars

12

下载量

222
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

unknown

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:slf4j(slf4j 命令行)
来源仓库:https://github.com/claude-dev-suite/claude-dev-suite
仓库路径:skills/slf4j
安装命令:
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill slf4j
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。

skills.shnpx skills
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill slf4j

简介

slf4j 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

SLF4J - Quick Reference

When to Use This Skill

  • Standard logging API for Java
  • Integration with Logback, Log4j2
  • Java logging best practices
Deep Knowledge: Use mcp__documentation__fetch_docs with technology: slf4j for comprehensive documentation.

Essential Patterns

Logger Declaration

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class UserService {
    private static final Logger log = LoggerFactory.getLogger(UserService.class);

    // Or with Lombok
    // @Slf4j on class
}

Logging Levels

log.trace("Detailed debug info: {}", details);
log.debug("Debug info for development");
log.info("Normal operation: user {} logged in", userId);
log.warn("Potential problem: {} retries remaining", retries);
log.error("Error occurred: {}", message, exception);

Parameterized Logging

// Good - lazy evaluation
log.debug("Processing order {} for user {}", orderId, userId);

// Avoid - always evaluates
log.debug("Processing order " + orderId + " for user " + userId);

// Multiple parameters
log.info("User {} performed {} on resource {}", userId, action, resourceId);

Exception Logging

try {
    processOrder(order);
} catch (OrderException e) {
    // Exception is always last parameter
    log.error("Failed to process order {}: {}", order.getId(), e.getMessage(), e);
}

MDC (Mapped Diagnostic Context)

import org.slf4j.MDC;

// Set context
MDC.put("requestId", requestId);
MDC.put("userId", userId);

try {
    // All logs in this scope will include requestId and userId
    log.info("Processing request");
} finally {
    MDC.clear();
}

Conditional Logging

if (log.isDebugEnabled()) {
    log.debug("Expensive computation result: {}", expensiveMethod());
}

// Better with lambdas (SLF4J 2.0+)
log.atDebug().log(() -> "Result: " + expensiveMethod());

Fluent API (SLF4J 2.0+)

log.atInfo()
   .addKeyValue("orderId", orderId)
   .addKeyValue("amount", amount)
   .log("Order processed successfully");

When NOT to Use This Skill

  • Logging framework configuration: Use logback or Log4j2 skills for XML/config
  • Performance tuning: Configuration-level optimization is in implementation skills
  • Transport/appender setup: That's implementation-specific (Logback/Log4j2)
  • Non-Java projects: Use language-appropriate logging APIs
  • Direct implementation usage: Always code to SLF4J API, not Logback/Log4j2 directly

Anti-Patterns

Anti-PatternWhy It's BadSolution
String concatenation in logsAlways evaluated, performance hitUse parameterized logging: log.info("User {}", id)
Logging without level check for expensive opsWastes CPU even when disabledUse if (log.isDebugEnabled()) before expensive calls
Catching exceptions without loggingSilent failures, hard to debugAlways log with log.error("msg", exception)
Not using MDC for request contextLoses correlation across logsUse MDC.put() with try-finally
Using wrong log levelToo much noise or missing issuesFollow conventions: ERROR=requires action, WARN=potential issue
Logging sensitive dataSecurity/compliance violationMask PII, passwords, tokens before logging

Quick Troubleshooting

IssueCauseSolution
NoClassDefFoundError: StaticLoggerBinderNo SLF4J implementation on classpathAdd Logback or Log4j2 dependency
Multiple bindings warningMultiple SLF4J implementationsKeep only one: Logback OR Log4j2
Logs not appearingWrong log levelCheck implementation config (logback.xml)
Parameters not replacedWrong placeholder syntaxUse {} not %s or other formats
MDC values emptyMDC cleared or wrong threadEnsure MDC.put() before logging, clear in finally
Exception stack trace missingException not last parameterPut exception as last param: log.error("msg", e)

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

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

展示第三方安全扫描或审计结果

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

Codex

35.85%
按下载量换算80

Claude

28.36%
按下载量换算63

Cursor

17.02%
按下载量换算38

Gemini CLI

9.04%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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