TopRank Skills
EN
English 简体中文 français

Search

PythonReactSEOPDF

johnzfitch AI Skills

GitHub ↗

Browse published AI skills maintained by johnzfitch. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

9

Repository stars across indexed skills

9

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

Popular categories

tools framework internals7testing security framework internals7tools llm ai3devops llm ai3testing security llm ai3documentation llm ai3

Recent indexing activity

burn-training2026-01-20burn-backends2026-01-20burn-contrib2026-01-20burn-reviewer2026-01-20burn-onnx-surgeon2026-01-20

9 skills

Browse skills

GitHub

burn-onnx-surgeon

johnzfitch

Specializes in ONNX model import failures, unsupported operators, opset version mismatches, and dynamic shape issues. Use when burn-import fails or produces incorrect results.

☆ 1View skill
GitHub

burn-onnx

johnzfitch

This skill should be used when the user asks about "ONNX import", "PyTorch to Burn", "safetensors", "model conversion", "burn-import", "unsupported operator", "opset version", or importing external models into...

☆ 1View skill
GitHub

burn-app-dev

johnzfitch

This skill should be used when the user asks about "Burn tensors", "tensor operations", "Module derive", "burn config", "autodiff", "backward pass", "gradient", "record serialization", "model weights", or core...

☆ 1View skill
GitHub

burn-debugger

johnzfitch

Diagnoses Burn deep learning errors including tensor shape mismatches, backend panics, autodiff issues, and training failures. Use when encountering runtime errors, compilation failures, or unexpected behavior...

☆ 1View skill
GitHub

burn-router

johnzfitch

This skill should be used when the user mentions "burn", "tensor", "module", "backend", "training", "ONNX", "autodiff", "deep learning in Rust", or any Burn framework related query. Routes to appropriate domain...

☆ 1View skill
GitHub

burn-training

johnzfitch

This skill should be used when the user asks about "training loop", "Learner", "metrics", "dataset", "dataloader", "checkpointing", "optimizer", "learning rate scheduler", "custom training", or Burn training wo...

☆ 1View skill
GitHub

burn-backends

johnzfitch

This skill should be used when the user asks about "Burn backend", "WGPU", "NdArray", "Candle", "LibTorch", "custom kernel", "CubeCL", "quantization", "WebAssembly", "no_std", or backend selection and extension...

☆ 1View skill
GitHub

burn-contrib

johnzfitch

This skill should be used when the user asks about "contributing to Burn", "adding an operation", "burn internals", "burn-tensor", "burn-autodiff", "ONNX converter", "NodeProcessor", or Burn framework developme...

☆ 1View skill
GitHub

burn-reviewer

johnzfitch

Reviews Burn deep learning code for idiomatic patterns, performance, backend portability, and best practices. Use when asked for code review, refactoring suggestions, or "is this idiomatic".

☆ 1View skill

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.