sota-check

Validate kernel implementation strategies against a matrix of state-of-the-art prior art.

30|12|Updated Jun 21, 2026
One-click install
npx skills add https://github.com/anthony-chaudhary/fak --skill sota-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sota-check
Source: https://github.com/anthony-chaudhary/fak/tree/main/.claude/skills/sota-check
Command: npx skills add https://github.com/anthony-chaudhary/fak --skill sota-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents the common engineering failure of re-implementing complex compute kernels from scratch when high-quality, production-proven solutions already exist.

Core Features & Use Cases

  • Prior-Art Lookup: Instantly query the SOTA matrix to find existing implementations for specific compute operations like GEMM or fused attention.
  • Deliberate Routing: Enforces a disciplined decision-making process (borrow, bind, or stay-minimal) before writing new code.
  • Commit Integrity: Ensures all kernel-level changes are backed by verified references and oracle-based testing, maintaining a durable audit trail via commit trailers.

Quick Start

Run the sota-check skill by executing the fak sota command followed by the name of the operation or file you are currently working on to retrieve the relevant prior art and implementation strategy.

Frequently Asked Questions about sota-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check for prior art before writing a new compute kernel?

To check for prior art before writing a compute kernel, you query a SOTA matrix that validates implementation strategies against existing production-proven solutions to prevent redundant code development.

What is the best way to avoid reinventing high-performance machine learning kernels?

The best way to avoid reinventing machine learning kernels is by enforcing a disciplined decision-making process that routes you to borrow, bind, or stay minimal when queried against a state-of-the-art matrix.

When do I need to perform a prior-art check for kernel optimization?

You need to perform a prior-art check when developing complex compute operations like GEMM or fused attention within high-performance computing and machine learning model optimization tasks.

How do I ensure my kernel implementation changes maintain commit integrity?

To ensure kernel implementation changes maintain commit integrity, you back them with verified references and oracle-based testing, maintaining a durable audit trail via commit trailers.

Can I use prior-art checks for general software engineering tasks?

Prior-art checks are designed specifically for high-performance computing and machine learning model optimization tasks, validating kernel implementation strategies rather than general software engineering.

Why should I query a SOTA matrix before implementing compute operations?

You should query a SOTA matrix before implementing compute operations to instantly find existing, production-proven implementations, which prevents the common engineering failure of re-implementing complex code from scratch.