COMMAND_COMPLIANCE_REP…
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage…
Get started with RuView — pick the fastest path (Docker demo, repo build, or live ESP32) and walk through it.
> /plugin marketplace add ruvnet/RuView > /plugin install ruview@ruview
How it fires
How this command gets triggered: by you, by Claude, or both.
/ruview-startContext preview
What this command does when you run it.
Get started with RuView — pick the fastest path (Docker demo, repo build, or live ESP32) and walk through it.
description: Get started with RuView — pick the fastest path (Docker demo, repo build, or live ESP32) and walk through it. argument-hint: "[docker|build|hardware]"
Onboard the user onto RuView (WiFi-DensePose).
1. Invoke the **`ruview-quickstart`** skill. 2. If `$ARGUMENTS` names a tier (`docker`, `build`, `hardware`), go straight to it; otherwise ask which hardware they have:
3. Warn about the gotchas: ESP32-C3 / original ESP32 unsupported; single node = limited spatial resolution; camera-free pose is modest (use camera-supervised for 92.9% PCK@20). 4. Point to next steps: `/ruview-app`, `/ruview-train`, `/ruview-advanced`, `/ruview-verify`, and the `ruview-configure` skill.
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.