inference-improve

Automate routing inference refinement by configuring an autonomous workflow that analyzes agent logs and reports to produce actionable routing improvements. The workflow iterates through data gathering, pattern analysis, design, review, and enforcement phases to enhance decision quality.

Routing decisions misfire due to inference gaps, weak keyword mappings, and confidence distribution issues found in logs. Fix them by running an autonomous analysis workflow that identifies these gaps and applies risk-checked adjustments to routing-mappings.json.

Identify weak keyword mappings and inference gaps by applying automated pattern analysis to your logs, reflections, and reports. The skill enforces roles like Researcher and Code-Analyzer to surface confidence distribution issues across routing data.

Yes, a Codex-compliant change application mechanism is required to enforce routing inference updates. The Enforcer role uses this mechanism to safely apply risk-checked modifications to routing-mappings.json.

Autonomous routing optimization requires a workflow configuration with enabled set to true, a defined interval_hours schedule, and a min_confidence threshold. This configuration drives the automated phases from data gathering through enforcement.

Collaborative analysis improves routing inference autonomously by assigning roles such as Architect, Code-Reviewer, and Enforcer. These roles iteratively analyze patterns and apply changes to routing-mappings.json without manual intervention.