ilya-sutskever

ilya-sutskever is a System prompts & personas skill for AI agents, published by mattmireles in the kokoro-coreml repository on GitHub. Skillspace rates ilya-sutskever D (62/100) and it passed the safety scan; the rating is based on static analysis only.

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).

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
54

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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