worker-integration

What problem does it solve? Coordinating background workers with the right specialized agents is difficult when done manually, and there is no visibility into which agents perform well over time. This Skill automates agent selection for worker triggers and records performance feedback so dispatch decisions improve with execution history. ## Core Features & Use Cases - Trigger-Based Agent Mapping: Maps triggers like ultralearn, optimize, audit, benchmark, testgaps, document, deepdive, and refactor to primary agents, fallbacks, and pipeline phases. - Performance-Based Selection: Selects agents using quality score, success rate, average latency, and execution count, returning a confidence value and reasoning. - Feedback and Benchmark Compliance: Records execution feedback per agent and checks compliance against latency, memory, and quality thresholds. - Use Case: A team running automated code audits can let the audit trigger dispatch to the security-analyst agent, then review integration stats to confirm scan coverage stays above 95%. ## Quick Start Ask the assistant to show agent recommendations and performance metrics for a worker trigger such as optimize using the agentic-flow workers commands.