rdc-optimizer

What problem does it solve?

Intake ambiguous optimization and performance requests and convert them into a clear, actionable intake for further analysis and experimentation, enabling teams to move from raw captures and metrics to reproducible bottleneck attributions and experiment plans.

Core Features & Use Cases

• Structured Intake and Clarification: Prompt users to specify the performance problem, available evidence (capture, trace, profile, A/B data, or dashboards), budgets, and expected outputs.
• Scope Enforcement: Distinguish optimizer responsibilities from debugging workflows and avoid assuming a production-grade platform or verification loop.
• Use Case: When a service exhibits increased latency, the Skill helps gather the trace or profile, clarifies the target metric and acceptable budget, and outputs a proposed attribution and experiment design to validate optimization gains.

Quick Start

Use rdc-optimizer to intake a performance issue by providing the capture, trace, profile, or A/B data along with your performance goals and desired output (bottleneck attribution, optimization proposal, or experiment design).