Agent skill · data analytics · aiskillstore
log-analysis
Analyze application logs to identify errors, performance issues, and security anomalies. Use when debugging issues, monitoring system health, or investigating incidents. Handles various log formats including Apache, Nginx, application logs, and JSON logs.
Why this skill is useful
Provides specific grep and awk commands for analyzing various log formats that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Log Analysis When to use this skill Error debugging: analyze the root cause of application errors Performance analysis: analyze response times and throughput Security audit: detect anomalous access patterns Incident response: investigate the root cause during an outage Instructions Step 1: Locate Log Files Step 2: Search for Error Patterns Common error search: HTTP error codes: Step 3: Pattern Analysis Time-based analysis: IP-based analysis: Step 4: Performance Analysis Response time analysis: Traffic volume analysis: Step 5: Security Analysis Suspicious patterns: Output format Analysis report structure Best practices 1. Set time range: clearly define the time window to analyze 2. Save patterns: script common grep patterns 3. Check context: review logs around the error too (-A, -B options) 4. Log rotation: search compressed logs with zgrep as well Constraints Required Rules (MUST) 1. Perform read-only operations only 2. Mask sensitive information (passwords, tokens) Prohibited (MUST NOT) 1. Do not modify log files 2. Do not expose sensitive information externally References grep manual awk guide Log analysis best practices Examples Example 1: Basic usage <!-- Add example content here --> Example 2: Advanced usage <!-- Add advanced example content here -->
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/log-analysis