COMMAND_COMPLIANCE_REP…
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage…
Run the SYNTHETIC @metaharness/flywheel self-improvement demo and report the lift curve.
> /plugin marketplace add ruvnet/RuView > /plugin install ruview@ruview
How it fires
How this command gets triggered: by you, by Claude, or both.
/flywheelContext preview
What this command does when you run it.
Run the SYNTHETIC @metaharness/flywheel self-improvement demo and report the lift curve.
description: "Run the SYNTHETIC @metaharness/flywheel self-improvement demo and report the lift curve."
Run the propose → evaluate → gate → promote loop and report what it found.
1. Run `npm run build` first if `dist/flywheel.js` doesn't exist yet. 2. Run `wifi-densepose-sar-harness flywheel [generations]` (default 3 if omitted). 3. Report each generation's `primary` score and `delta`, the total promotions, and whether `verifyReplayBundle` passed. 4. State plainly: this run's `dataSource` is `SYNTHETIC` — the proposer and evaluator are deterministic stand-ins (see `src/flywheel.ts`'s honesty note), not a real model call or a real coding-task benchmark. Do not report its numbers as if they reflect real harness improvement.
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Repo: ruvnet/RuView
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage…
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Identify and resolve performance bottlenecks in your development workflow.
Generate comprehensive performance reports for swarm operations.
Reduce token consumption while maintaining quality through intelligent coordination.
Analyze token usage patterns and optimize for efficiency.