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MaDxCRaZY/antigravity-skills

>- Replaces guesswork with empirical hardware telemetry: synthesizes ad-hoc stress-test harnesses on the fly, executes them headlessly, and proves performance gains with hard numbers.

What is antigravity-skills?

antigravity-skills is a Antigravity agent skill that >- Replaces guesswork with empirical hardware telemetry: synthesizes ad-hoc stress-test harnesses on the fly, executes them headlessly, and proves performance gains with hard numbers.

Works with~Claude Code~Codex CLI~Cursor✓Antigravity
npx skills add https://github.com/MaDxCRaZY/antigravity-skills/tree/HEAD/skills/benchmark

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Documentation

Empirical Benchmark & Telemetry Protocol

The /benchmark command enforces empirical verification. Rather than accepting theoretical claims or synthetic estimates, the agent must construct executable test harnesses, run them headlessly, and measure real hardware performance metrics.


Benchmark Guidelines

  1. Ad-Hoc Harness Synthesis:

    • Write test scripts or micro-benchmarks in <appDataDir>/brain/<conversation-id>/scratch/ (or a designated benchmark directory).
    • Warm up the execution runtime before sampling.
    • Run multiple iterations (minimum 10-50 iterations depending on workload duration) to establish statistically reliable percentiles (p50, p90, p99).
  2. Hardware Telemetry Measurement: Execute via run_command headlessly and capture:

    • Latency: Wall-clock execution time (ms/µs).
    • Throughput: Operations per second / frames per second / bytes per second.
    • Memory: Peak resident set size (RSS), allocation churn, heap footprint.
    • Failure Rate: Error counts or timeout occurrences under stress.
  3. Comparison Matrix: Always generate a side-by-side empirical report comparing Baseline vs. Candidate:

    MetricBaselineCandidateDelta (% Change)Confidence
    Median Latency (p50).........%p < 0.01
    Tail Latency (p99).........%p < 0.01
    Peak Memory (RSS).........%Verified
    Throughput.........%Verified
  4. Absolute Ban on Guesswork: Never declare a function "optimized" without running the benchmark script and reporting raw, reproducible console outputs.

Individual skills in this repo

This repo contains 3 individual skills — each has its own dedicated page.

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