Our review
Helps users understand MindSpore API call chains and operators such as mint.* and tensor.*.
Strengths
- Provides structured call-chain documentation
- Covers forward/backward operators
- MindSpore-specific for precise answers
Limitations
- Requires a local reference file
- Only covers MindSpore, not general AI
When to use it
When you have questions about MindSpore APIs, especially mint.*, tensor.*, or call chains.
When not to use it
For general deep learning framework questions or non-MindSpore APIs.
Security analysis
SafeQuality score65/100
The skill only instructs to read a reference markdown file and display answer; no tool usage, network calls, or destructive actions are involved.
No concerns found
Examples
Explain mint.add
How does mint.add work? What is its call chain?Tensor transpose call chain
What is the call chain for tensor.transpose?Forward vs backward operators
How are forward and backward operators related in MindSpore?name: api-helper description: Auto-invoked when users ask mindspore api questions. such as mint., tensor., forward, backward, cpu/gpu/npu.
API Helper
This skill helps you understand MindSpore's API call chain and basic knowledage.
When to Use
Use this skill when:
- Questions about mint., or tensor. operators.
- Questions about forward/backward operator/API
- Questions about API call chains
Instructions
Step 1: read ./reference/mindspore_api_call_chain.md
Step 2: display answer
Related skills
Prompt Engineering
Data & AI
Prompt engineering best practices and templates to maximize AI outputs.
claudeCursorWindsurf+1beginner
289
78
740
Data Visualization
Data & AI
Generates data visualizations and charts tailored to your data.
claudeCursorWindsurfintermediate
198
56
593
RAG Architecture Setup
Data & AI
Setup guide for RAG (Retrieval-Augmented Generation) architectures.
claudeCursorWindsurfadvanced
167
51
543