log-analysis
Log file analysis including reading, searching, filtering, and pattern matching. Use when investigating issues in logs, searching for errors, or analyzing application behavior.
allowed_tools: Bash, Read, Grep, Glob
$ 安裝
git clone https://github.com/ShunsukeHayashi/miyabi-mcp-bundle /tmp/miyabi-mcp-bundle && cp -r /tmp/miyabi-mcp-bundle/.claude/skills/log-analysis ~/.claude/skills/miyabi-mcp-bundle// tip: Run this command in your terminal to install the skill
SKILL.md
name: log-analysis description: Log file analysis including reading, searching, filtering, and pattern matching. Use when investigating issues in logs, searching for errors, or analyzing application behavior. allowed-tools: Bash, Read, Grep, Glob mcp_tools:
- "log_read"
- "log_search"
- "log_tail"
- "log_stats"
- "log_errors"
- "log_filter"
- "log_aggregate"
Log Analysis Skill
Version: 1.0.0 Purpose: Log file analysis and pattern discovery
Triggers
| Trigger | Examples |
|---|---|
| Read | "read logs", "view log", "ログ表示" |
| Search | "search logs", "find error", "エラー検索" |
| Errors | "show errors", "エラー一覧" |
| Analyze | "analyze logs", "ログ分析" |
Integrated MCP Tools
| Tool | Purpose |
|---|---|
log_read | Read log file contents |
log_search | Search for patterns |
log_tail | Last N lines of log |
log_stats | Log statistics |
log_errors | Extract error entries |
log_filter | Filter by level/time |
log_aggregate | Aggregate log entries |
Workflow: Error Investigation
Phase 1: Initial Scan
Step 1.1: Check Recent Logs
Use log_tail with:
- file: Log file path
- lines: 100
Step 1.2: Get Error Summary
Use log_errors with:
- file: Log file path
- levels: ["ERROR", "FATAL", "CRITICAL"]
Phase 2: Pattern Search
Step 2.1: Search for Specific Error
Use log_search with:
- file: Log file path
- pattern: "Exception|Error|Failed"
- context: 3 (lines before/after)
Step 2.2: Filter by Time
Use log_filter with:
- file: Log file path
- start_time: "2024-01-01 10:00"
- end_time: "2024-01-01 11:00"
Phase 3: Analysis
Step 3.1: Statistics
Use log_stats to get:
- Total entries
- Entries by level
- Error frequency
- Time distribution
Step 3.2: Aggregate Patterns
Use log_aggregate to find:
- Repeated errors
- Common patterns
- Trending issues
Common Log Formats
Apache/Nginx
IP - - [timestamp] "METHOD /path HTTP/1.1" status size
Application (JSON)
{"timestamp":"...","level":"ERROR","message":"..."}
Syslog
Mon DD HH:MM:SS hostname process[pid]: message
Search Patterns
| Pattern | Matches |
|---|---|
ERROR|WARN | Error or warning |
Exception.* | Exception with message |
\d{3} | HTTP status codes |
timeout|timed out | Timeout issues |
connection refused | Connection failures |
Best Practices
✅ GOOD:
- Start with recent logs
- Filter by time first
- Look for patterns, not just single errors
- Check error frequency
❌ BAD:
- Read entire large log files
- Search without time bounds
- Focus on single error instance
- Ignore warning patterns
Checklist
- Log file accessible
- Time range identified
- Error pattern found
- Context lines reviewed
- Frequency analyzed
- Root cause identified
Repository

ShunsukeHayashi
Author
ShunsukeHayashi/miyabi-mcp-bundle/.claude/skills/log-analysis
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Updated5d ago
Added1w ago