sched-claw-product-readiness

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Actualizado23 de abril de 2026 a las 04:57

Use when the task is to decide whether a host is ready to run sched-claw as a real autotuning product. Covers readiness inspection, dependency gaps, daemon reachability, privileged perf capture prerequisites, and how to turn missing prerequisites into an explicit operator plan.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Fuente

DarkHighness

DarkHighness/nanoclaw

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Administradores de redes y sistemas informáticosOcupaciones informáticas y matemáticas·SOC 15-1244

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SKILL.md

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name	sched-claw-product-readiness
description	Use when the task is to decide whether a host is ready to run sched-claw as a real autotuning product. Covers readiness inspection, dependency gaps, daemon reachability, privileged perf capture prerequisites, and how to turn missing prerequisites into an explicit operator plan.
aliases	["product-readiness"]
tags	["sched-claw","product","readiness"]

sched-claw Product Readiness

When to use

Decide whether the current host can support sched-claw end to end.
Explain why an agent run, build, verifier probe, daemon rollout, or demo launch is blocked.
Stage a system before starting real autotune work.

Read before acting

references/readiness-matrix.md
references/harness-engineering.md

Workflow

Start from the requested capability, not a generic checklist.
- Distinguish analysis-only, build-and-verify, privileged rollout, and demo execution.
- State which one is blocked.
Run the host readiness surface first.
- Prefer sched-claw doctor --style plain or --style table.
- Treat the output as the product-facing readiness summary, not as a model-only heuristic.
Classify failures by layer.
- runtime: provider credentials and model bootstrap
- skills: builtin skill bundle, helper scripts, and shared Linux perf skills
- toolchain: clang, bpftool, perf, uv, python3
- kernel: BTF, cgroup support, and perf_event_paranoid visibility
- daemon: privileged rollout reachability plus bounded collect_perf support
Keep the harness split clean.
- normal tools plus repo scripts handle collection, analysis, plotting, and code generation
- the daemon handles privileged sched-ext lifecycle plus bounded attach-style perf capture
- if a task needs deterministic automation, prefer an explicit script over a new host workflow command
Convert gaps into an operator plan.
- State which failures block all progress and which only block a specific demo or rollout phase.
- Keep remediation explicit and minimal.
Re-run readiness after the operator changes the host.
- Do not assume a missing dependency is fixed until sched-claw doctor says so.

Rules

Do not invent hidden prerequisites. Use the doctor surface and the real launcher scripts.
Do not claim the product is ready when build, daemon, or provider bootstrap is blocked.
Keep optional demo gaps separate from core autotune gaps.

Output checklist

current readiness summary
blocking gaps vs optional gaps
exact remediation steps
the next command to rerun for confirmation

Reference Material

references/readiness-matrix.md
references/harness-engineering.md

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name	sched-claw-product-readiness
description	Use when the task is to decide whether a host is ready to run sched-claw as a real autotuning product. Covers readiness inspection, dependency gaps, daemon reachability, privileged perf capture prerequisites, and how to turn missing prerequisites into an explicit operator plan.
aliases	["product-readiness"]
tags	["sched-claw","product","readiness"]

sched-claw Product Readiness

When to use

Decide whether the current host can support sched-claw end to end.
Explain why an agent run, build, verifier probe, daemon rollout, or demo launch is blocked.
Stage a system before starting real autotune work.

Read before acting

references/readiness-matrix.md
references/harness-engineering.md

Workflow

Start from the requested capability, not a generic checklist.
- Distinguish analysis-only, build-and-verify, privileged rollout, and demo execution.
- State which one is blocked.
Run the host readiness surface first.
- Prefer sched-claw doctor --style plain or --style table.
- Treat the output as the product-facing readiness summary, not as a model-only heuristic.
Classify failures by layer.
- runtime: provider credentials and model bootstrap
- skills: builtin skill bundle, helper scripts, and shared Linux perf skills
- toolchain: clang, bpftool, perf, uv, python3
- kernel: BTF, cgroup support, and perf_event_paranoid visibility
- daemon: privileged rollout reachability plus bounded collect_perf support
Keep the harness split clean.
- normal tools plus repo scripts handle collection, analysis, plotting, and code generation
- the daemon handles privileged sched-ext lifecycle plus bounded attach-style perf capture
- if a task needs deterministic automation, prefer an explicit script over a new host workflow command
Convert gaps into an operator plan.
- State which failures block all progress and which only block a specific demo or rollout phase.
- Keep remediation explicit and minimal.
Re-run readiness after the operator changes the host.
- Do not assume a missing dependency is fixed until sched-claw doctor says so.

Rules

Do not invent hidden prerequisites. Use the doctor surface and the real launcher scripts.
Do not claim the product is ready when build, daemon, or provider bootstrap is blocked.
Keep optional demo gaps separate from core autotune gaps.

Output checklist

current readiness summary
blocking gaps vs optional gaps
exact remediation steps
the next command to rerun for confirmation

Reference Material

references/readiness-matrix.md
references/harness-engineering.md