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Debug ML inference issues — latency spikes, wrong predictions, event loop blocking (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
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Based on SOC occupation classification
Recurring 23-domain enterprise/ISO repository audit — governance, traceability, security, supply chain, reproducibility, observability, architecture, technical debt, DX — produces a findings report with file:line evidence and risk ratings, and preserves the audit bar via anti-patterns Q-01…Q-08
Recurring 23-domain enterprise/ISO repository audit — governance, traceability, security, supply chain, reproducibility, observability, architecture, technical debt, DX — produces a findings report with file:line evidence and risk ratings, and preserves the audit bar via anti-patterns Q-01…Q-08 (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
Review cloud costs against budget and identify optimization opportunities
Debug ML inference issues — latency spikes, wrong predictions, event loop blocking
Scan a service for edge-protection coverage (WAF, DDoS mitigation, rate limiting) against ADR-042/D-38 — produces a PASS/FAIL report with file:line evidence
Scan a service for edge-protection coverage (WAF, DDoS mitigation, rate limiting) against ADR-042/D-38 — produces a PASS/FAIL report with file:line evidence (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
| name | debug-ml-inference |
| description | Debug ML inference issues — latency spikes, wrong predictions, event loop blocking (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.) |
Adapter surface: claude
Authority: AGENTS.md#Agent Behavior Protocol
Mode: AUTO
Canonical source: agentic/skills/debug-ml-inference/SKILL.md
Read agentic/skills/debug-ml-inference/SKILL.md in full before invoking this skill. The canonical
skill body, trigger conditions, escalation rules, and success criteria
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