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sim2real
sim2real 收录了来自 inference-sim 的 4 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 skills
Analyze sim2real pipeline run results. Offers a catalog of standard analyses (per-workload latency comparison, per-request scatter) plus a free-form loop for custom charts, distributions, HTML reports, and cross-run comparisons.
Bootstrap an experiment repo into a sim2real transfer bundle. Two modes: (1) BLIS mode (default) — for BLIS-generated folders with algorithms/, workloads/, and config; derives transfer.yaml, baselines/, and a component submodule with user approval at each gate. (2) --byo mode — for operators arriving with pre-built EPP images plus a full baseline scenario and per-algorithm overlays; scaffolds transfer.yaml with `byo: true` markers and emits a copy-pasteable batched `sim2real translation register` command.
Translates simulation-discovered algorithms into production Go plugins for the target component (e.g. llm-d-inference-scheduler). Reads workspace/translations/<hash>/skill_input.json (written by `sim2real translate`), spawns a three-agent team (expert + writer + reviewer) per algorithm, and writes plugin source + treatment overlay to workspace/translations/<hash>/generated/<algo>/{cmd,pkg,<algo>_config.yaml,<algo>_output.json}. Use after `sim2real translate` reaches the translation checkpoint; follow up with `sim2real translate --resume` to validate outputs.
Validate a sim2real translation bundle against its simulation bundle. Checks workloads, configs, signals, policies, and runtime health.