Individual skill
ai-operations
Configure Harness AI-powered operations (AIDA) via MCP. Set up predictive failure analysis with ML models for memory leaks, disk exhaustion, connection pool saturation, and latency degradation. Configure intelligent alert correlation and noise reduction to reduce alert volume. Use when asked to set up predictive failure analysis, configure AI-powered alerting, reduce alert noise, or enable ML-based anomaly detection. Do NOT use for pipeline debugging (use debug-pipeline instead) or SLO management (use manage-slos instead). Trigger phrases: AIDA, predictive failure, alert correlation, noise reduction, anomaly detection, AI ops, predictive analysis, alert fatigue, ML alerting, intelligent alerting.
skills/observability-governance/ai-operations/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Oct 28, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agents Repository topic
- operations Derived category
- testing Derived category
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SKILL.mdcore · 5,822 bytes
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# AI Operations
Configure AI-powered predictive failure analysis and intelligent alert correlation using Harness AIDA.
## Instructions
### Step 1: Establish Scope
Confirm the user's org, project, service, and observability stack.
```
Call MCP tool: harness_list
Parameters:
resource_type: "project"