necatiincekara/benchmark-triage
.agents/skills/benchmark-triage/SKILL.md
Decide the next benchmark or training action using current artifacts, compute budget, platform constraints, and paper impact.
testing
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add necatiincekara/Quanvolutional-Neural-Network benchmark-triageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- benchmark-triage
- description:
- Decide the next benchmark or training action using current artifacts, compute budget, platform constraints, and paper impact.
Benchmark Triage
Use this skill when the user asks "what should we run next?", "should this run be on Mac or Colab?", or "what is the highest-value next benchmark?"
Workflow
- Read
AGENTS.md. - Reconcile current metrics from:
experiments/*.jsondocs/BENCHMARK_SUMMARY.mddocs/BENCHMARK_MATRIX_2026-03-22.mddocs/PUBLICATION_STRATEGY_2026-03-22.md
- Decide:
- next task
- platform
- expected cost/time
- paper impact
- stop condition
- Keep benchmark families separate and explicitly label which family is being optimized.
- If the task is broad or roadmap-level, spawn
benchmark_strategistafterresult_reconciler.
Repository Caveats
- The next heavy scientifically meaningful task is usually the Colab V7 confirmatory rerun, not more redundant Mac reruns.
runtime_secondsfor cached non-trainable quantum runs does not include the one-time cache/precompute stage.
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