By name: anomaly-detect description: Anomaly Detect. Use when working with anomaly detect in data domain. domain: data tags:
- analytics
- anomaly
- data-analysis
- detect
- visualization
When to Use
Trigger phrases:
- "anomaly detect"
- "Help me with anomaly detect"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
Anomaly Detect
Detect anomalies in data
Usage
/anomaly-detect <task>
Features
- Automated execution
- Error handling
- Result validation
When NOT to Use
- When anomaly detection is used for fraud investigation requiring evidence-grade analysis
- When false positives have severe financial or legal consequences
- When the task is too trivial to warrant this skill
- When a more appropriate skill exists
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "I'll do this later" | Explain why this excuse is wrong for this skill |
| "This is simple, skip steps" | Even simple tasks benefit from process |
Red Flags
- Anomaly detection threshold is too sensitive causing false positive flood
- Agent does not distinguish between different types of anomalies
- Watch for shortcuts and skipped steps
Verification
After completing this skill, confirm:
- Detection threshold is calibrated to balance sensitivity and specificity
- Anomaly types are classified for appropriate response
- All required outputs generated
- Success criteria met
Notes
- This skill integrates with the broader 1ai-skills ecosystem for data workflows
- Combine with related skills for maximum impact across your pipeline
- Monitor output quality and iterate on configuration based on results
- Keep dependencies up to date for security and performance
- Document custom workflows and configurations for team knowledge sharing
Additional Resources
- Review the 1ai-skills repository for related data skills
- Check the references/ directory for checklists and templates
- Join the community for best practices and support
- Contribute improvements via pull requests
Notes
- This skill integrates with the broader 1ai-skills ecosystem for data workflows
- Combine with related skills for maximum impact across your pipeline
- Monitor output quality and iterate on configuration based on results
- Keep dependencies up to date for security and performance
- Document custom workflows and configurations for team knowledge sharing
Overview
Section content — see SKILL.md body for full details.
Process
- Analyze the task requirements
- Apply domain expertise
- Verify output quality