Log Analyzer

Community

laolaoshiren

log-analyzer

日志分析助手 — 智能解析日志文件，识别异常模式，定位问题根因

Overview

Publisher	laolaoshiren
Repository	`claude-code-skills-zh`
Skill name	`log-analyzer`
Stars	880
Forks	98
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by laolaoshiren on GitHub. Read the source before you install it.

Installation

Install the Log Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/log-analyzer
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/laolaoshiren/claude-code-skills-zh.git /tmp/claude-code-skills-zh
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills-zh/skills/log-analyzer .claude/skills/log-analyzer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Log Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Log Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Log Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

📋 log-analyzer — 日志分析助手

触发条件

当用户要求以下操作时激活此技能：

分析应用日志文件（.log, .txt, journalctl 输出等）
排查线上问题和异常
从日志中提取统计信息
生成日志分析报告

工作流程

1. 日志格式识别

自动检测日志格式：

结构化: JSON logs, Logfmt
常见格式: Nginx/Apache access log, Spring Boot, Django, Rails
系统日志: syslog, journalctl, Windows Event Log
自定义格式: 根据正则提取字段

2. 日志预处理

按时间范围过滤（如「最近 1 小时」「今天」）
按日志级别筛选（ERROR, WARN, INFO, DEBUG）
按来源/模块/服务过滤
去重和聚合相似错误

3. 异常模式检测

错误聚类: 将相似错误归为一组，避免重复分析
频率分析: 识别高频错误和突发异常
时间关联: 发现错误是否与特定事件（部署、流量高峰）相关
因果链追踪: 从根因错误到最终表现

4. 关键信息提取

错误堆栈分析（定位源码位置）
HTTP 状态码分布（4xx/5xx 比例）
响应时间统计（P50/P95/P99）
内存/CPU 异常指标

5. 生成分析报告

markdown
## 📊 日志分析报告

### 概览
- 时间范围: 2024-01-15 10:00 ~ 12:00
- 总日志量: 12,847 条
- 错误数: 234 (1.8%)
- 警告数: 567 (4.4%)

### Top 5 异常
| 排名 | 错误类型 | 次数 | 首次出现 | 最近出现 |
|------|---------|------|---------|---------|
| 1 | NullPointerException | 89 | 10:15 | 11:42 |
| 2 | ConnectionTimeout | 67 | 10:23 | 11:58 |

### 根因分析
最可能的原因：数据库连接池耗尽（线索：连续出现 ConnectionTimeout 后跟大量 NullPointerException）

### 建议
1. 检查数据库连接池配置（当前可能 maxActive 太小）
2. 排查是否存在连接泄漏
3. 添加连接池监控告警

支持的日志来源

文件系统日志（*.log）
Docker/Kubernetes 容器日志
journalctl 系统日志
AWS CloudWatch / GCP Logging
ELK Stack (Elasticsearch 查询结果)
应用直接输出的文本

注意事项

敏感信息脱敏（密码、token、手机号等）
大文件分块处理，避免内存溢出
时区统一处理
不要臆造日志中不存在的信息

Frequently asked questions

What does the Log Analyzer AI skill do?

日志分析助手 — 智能解析日志文件，识别异常模式，定位问题根因

Why use Log Analyzer on TypingMind?

Because you install it once and use it with any model. Log Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Log Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laolaoshiren/claude-code-skills-zh/tree/main/skills/log-analyzer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Log Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Log Analyzer?

As many as you like. As long as a model supports skills, you can use Log Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Log Analyzer AI skill free?

Yes. It is published on GitHub by laolaoshiren under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

📋 log-analyzer — 日志分析助手

触发条件

工作流程

1. 日志格式识别

2. 日志预处理

3. 异常模式检测

4. 关键信息提取

5. 生成分析报告

支持的日志来源

注意事项

Frequently asked questions

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