القائمة
Build and run Helios real-context A/B benchmarks with deterministic workload manifests, correctness gates, and decision artifacts.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Diagnose Gemma 4 MTP acceptance and speculative decoding behavior in Helios using real-context prompts, trace records, and exactness gates.
Profile and optimize Helios native MLX/C++ execution paths with A/B evidence, memory gates, and feature-flagged experimental kernels.
Use for tiny16 MacBook profiling: memory pressure, context-length limits, TTFT/decode metrics, cache effectiveness, MTP acceptance, and release-gate benchmark reports.
Use for dynamic LoRA/QLoRA adapter import, validation, loading, routing, adapter-aware KV cache keys, aLoRA planning, and adapter memory residency.
Use for Gemma4D KV cache, prefix cache, SSD cold tier, cache manifests, cache-key correctness, quantized/compressed KV experiments, and restore parity.
Use to execute one Gemma4D milestone end-to-end with scoped tasks, verification commands, evidence capture, and blocker reporting. Trigger on milestone implementation, Codex Goals, task planning, or release gates.
| name | helios-real-workload-ab |
| description | Build and run Helios real-context A/B benchmarks with deterministic workload manifests, correctness gates, and decision artifacts. |
Use this skill when a task mentions Helios performance, A/B benchmarking, real workloads, benchmark corpus, repeated-prefix testing, or tiny16 performance decisions.
BENCHMARKS.md, docs/xr-real-workload-methodology.md, and docs/xr-ab-methodology.md.records.jsonl, summary.json, report.md, blockers.md, and decision.md for every Goal.Use exactly one:
accept_candidatereject_candidatekeep_experimentalneeds_more_datablocked_with_evidence