Add Torch Shapes Example
facebook/pyrefly/.agents/skills/add-torch-shapes-example
ai-mlOfficial
Official Provider SkillView repo
Use when adding a new PyTorch model to Pyrefly's shape-tracking example corpus under tensor-shapes/pyrefly-torch-stubs/examples — i.e. importing a model as a tested, corpus-quality reference port. This is maintainer-facing fbsource work. For porting your own model elsewhere, use the porting skill directly; for fixing a wrong/missing shape rule, use modify-shaped-array-dsl.
Files1 files
SKILL.md100 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the file and paste it into your agent's system prompt.
Skill details
Versionv1.0.0
AuthorFacebook
Categoryai-ml
Skill IDfacebook/pyrefly/.agents/skills/add-torch-shapes-example
Related skills
Add Shape Types To Torch ModelPort a PyTorch model to use pyrefly's tensor shape type system (Tensor[[B, C, H, W]], Int[T]). Use this skill whenever the user wants to add shape annotations to a PyTorch model, type a model with tensor dimensions, port a model to use shape tracking, or annotate model forward methods with tensor shapes. Also use when the user mentions tensor shape ports, Int types for PyTorch, or pyrefly shape checking on a model file. Invoke BEFORE starting any model port — the skill's gated workflow prevents Benchmark PyreflyRun Pyrefly benchmarks locally via Buck or Cargo, including PyTorch real-world LSP benchmarks. Use when user asks to benchmark pyrefly performance, run pyrefly bench, compare cold start vs error propagation, or update PyTorch benchmark pin.Modify Shaped Array DslUse when Pyrefly computes a wrong tensor shape (or is missing one that can't be expressed in a stub signature) and you need to add or fix a shape-DSL rule. Requires a Pyrefly checkout (fbsource or a clone); not usable from a pip/site-packages install.Review Pyrefly DiffReviews a comma separated pyrefly diff according to the pyrefly review best practices.Score Pyrefly ChangeProduces a scorecard evaluating a pyrefly change on correctness and quality.Relay PerformancePerformance best practices for Relay applications. Use when optimizing data fetching, reducing re-renders, configuring caching, or improving time to first meaningful paint. Covers query placement, @defer, pagination, fetch policies, garbage collection, fragment granularity, and server-side filtering. Companion to the relay-best-practices skill which covers correctness and architecture.