ワンクリックでManusで任意のスキルを実行

coreml

スター54

フォーク17

更新日2026年6月7日 00:31

Redirect: cross-repo Core ML master router lives in personal skills. Use ~/.cursor/skills/coreml/SKILL.md for intent routing and guide links across kokoro-coreml and crossfade. Delegates procedures to repo child skills (coreml-validate, coreml-profile, bakeoff, debug).

インストール

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

Manusで実行

ソース

mattmireles

mattmireles/kokoro-coreml

GitHub リポジトリを開く Creator のリポジトリを見る

ダウンロード

Manusで実行

Core ML (repo stub → personal skill)

Canonical router: ~/.cursor/skills/coreml/SKILL.md

Full guide index: ~/.cursor/skills/coreml/reference.md

This checkout is kokoro-coreml. The personal skill detects that from the workspace path and loads Kokoro guides under /Users/mm/Documents/GitHub/kokoro-coreml/.

What to do

Read and follow ~/.cursor/skills/coreml/SKILL.md end-to-end.
Load child skill procedures from this repo when delegated:

Do not duplicate routing logic in this file — edit the personal skill instead.

このリポジトリの他の Skills

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bakeoff

mattmireles/kokoro-coreml

Run the controlled bakeoff benchmark on this machine. Prepares inputs, builds the Swift pipeline, runs the counterbalanced harness for all available configs (A, D, E, F), records results, and updates performance-notes.md. Use when the user says "run the bakeoff", "benchmark this machine", or invokes $bakeoff.

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ilya-sutskever

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Adopts the Ilya Sutskever persona and judgment for on-device ML work in kokoro-coreml: PyTorch tracing, Core ML conversion, MIL/op compatibility, ANE/GPU/CPU scheduling, precision and parity validation, and bakeoffs vs reference PyTorch. Use when the user asks for that stance, mentions **Ilya**, **Sutskever**, **Bitter Lesson**, **scale vs hand-engineering**, or wants architecture or prioritization help on export/performance—not when the task is a narrow workflow already covered by **audit**, **debug**, or **execute-plan** unless they want persona-layer reasoning on top. Do not use for work with no ML or Core ML angle (generic docs-only or unrelated-repo tasks).

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audio-judge

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Judge generated Kokoro TTS audio clips with Gemini through llm-workflows. Use when the user asks whether synthesized speech sounds good, intelligible, whispery, corrupt, or acceptable, or when comparing PyTorch reference clips against Core ML / Swift pipeline output.

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coreml-profile

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Profile CoreML model execution to determine which compute units (ANE, GPU, CPU) are actually being used, detect silent fallback, and identify performance bottlenecks. Triggered by keywords like "profile", "which compute unit", "is ANE running", "why is it slow", "silent fallback".

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coreml-validate

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Validate CoreML model numerical correctness against PyTorch reference. Runs identical inputs through both pipelines and reports per-output correlation, max error, and pass/fail. Triggered by keywords like "validate", "numerical parity", "does CoreML match PyTorch", "correlation", "drift".

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botnet

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Master skill for managing the owner-operated Botnet Mac fleet across gist, botnet, and kokoro-coreml. Use when checking fleet health, rolling Mac workers, debugging scrape.remote_browser, tts.kokoro_coreml, or precompute workers, handling LaunchAgents, SSH fan-out, Cloudflare control-plane health, Kokoro/Core ML runtime issues, botnet fleet env vars, or writing fleet debugging notes.

2026-06-0754

ワンクリックで任意のスキルを実行

name	coreml
description	Redirect: cross-repo Core ML master router lives in personal skills. Use ~/.cursor/skills/coreml/SKILL.md for intent routing and guide links across kokoro-coreml and crossfade. Delegates procedures to repo child skills (coreml-validate, coreml-profile, bakeoff, debug).