Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install log-analyzerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install log-analyzerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/log-analyzer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Log Analyzer can do for your AI workflow
Parse, search, and analyze directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 5,001+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Log Analyzer
Help me get started with Log Analyzer
Explains what Log Analyzer does, walks through the setup, and runs a quick demo based on your current project
Use Log Analyzer to parse, search, and analyze application logs across formats
Invokes Log Analyzer with the right parameters and returns the result directly in the conversation
What can I do with Log Analyzer in my developer & devops workflow?
Lists the top use cases for Log Analyzer, with example commands for each scenario
Guides & tutorials for AI skills
Log Analyzer extends your AI assistant with the ability to parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Log Analyzer as its underlying capability.
Log Analyzer works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Log Analyzer once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Log Analyzer, copy the skill folder to `~/.claude/skills/log-analyzer/` for use across all your projects, or `.claude/skills/log-analyzer/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/log-analyzer` or just describe your goal and the AI will pick it up automatically.
Log Analyzer has been installed 5,001 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/log-analyzer/ for personal use (all projects), or .claude/skills/log-analyzer/ for project-specific use. Restart your AI client, then invoke with /log-analyzer or let the AI discover it automatically.
Log Analyzer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Log Analyzer is free to install. Check the repository for licensing information.
Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.
Automate my developer & devops tasks using Log Analyzer
Identifies repetitive steps in your workflow and sets up Log Analyzer to handle them automatically
MCP vs traditional plugins: what's the difference?
Log Analyzer is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.