Inspect PyPTO API signatures and constraints for kernel implementation.
npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill pypto-api
Please help me install this Agent Skill. Skill: pypto-api Source: https://github.com/xchang1121/AutoResearch-CC-hook/tree/main/skills/pypto/guides/pypto-api Command: npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill pypto-api
Provide quick access to PyPTO API signatures and constraints to accelerate kernel development and ensure correct usage of API primitives.
Inspect the PyPTO API guide to implement a compliant kernel decorator and test basic tensor operations.
High-intent search queries and answers about installing and using this skill.
Validate PyPTO kernel decorators by checking API signatures and constraints against frontend decorator rules. Access comprehensive references for decorators, tensor helpers, and math operations to ensure correct implementation and prevent common typing or shape mistakes.
PyPTO tensor operations enforce specific typing, shape, and runtime behavior constraints. Reviewing the API constraint guidance helps developers prevent common mistakes during kernel development and verify that tensor helpers match expected API contracts.
Implement a compliant PyPTO frontend DSL by inspecting the API guide for mandatory name and description fields. Use YAML frontmatter and optional references to satisfy structured documentation requirements for kernel decorators and math operations.
PyPTO API validation supports testing and verification workflows for kernel developers and tooling builders. It provides quick access to API signatures and constraints to validate new kernels against expected API contracts during implementation.
PyPTO kernel API contract validation often fails due to incorrect typing, mismatched tensor shapes, or improper runtime behavior. Checking the API constraint guidance clarifies the rules for frontend decorators and tensor helpers to prevent these common mistakes.
mindspore-aiDocument PyPTO API signatures and constraints for Ascend kernel development.
mindspore-aiReduce 3D tensors along one axis while preserving original dimensions in Pypto.
mindspore-aiIdentify and prevent common PyPTO generation pitfalls in ascend backend kernel development.
masrurimzGenerate JSDoc/TSDoc comments, READMEs, and API documentation across codebases.
