Pattern Detection
Pattern Detection identifies recurring data sequences for anomaly spotting & predictive analysis, boosting efficiency and accuracy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add pattern-detection npx -- -y @trustedskills/pattern-detection
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"pattern-detection": {
"command": "npx",
"args": [
"-y",
"@trustedskills/pattern-detection"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The pattern-detection skill enables AI agents to identify recurring structures, sequences, or anomalies in data. It is particularly useful for analyzing time-series data, log files, and other structured datasets to uncover hidden trends or irregularities.
When to use it
- To detect fraudulent activity in financial transactions by identifying unusual spending patterns.
- For monitoring system logs and flagging potential security threats based on known attack signatures.
- To analyze user behavior on a website and identify common navigation paths or drop-off points.
Key capabilities
- Identifies recurring data structures and sequences
- Detects anomalies in time-series data
- Supports analysis of structured datasets for trend identification
Example prompts
- "Find any unusual patterns in the last 30 days of user login activity."
- "Analyze this dataset to identify common error codes that occur together."
- "Detect potential fraud by analyzing transaction amounts and locations over time."
Tips & gotchas
- Ensure data is preprocessed and cleaned before using this skill for accurate results.
- Performance may vary depending on the size and complexity of the dataset being analyzed.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.