About this skill
A reusable Coding skill centered on Django Unit Test Generator for Viewsets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Coding skill centered on Django Unit Test Generator for Viewsets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
I want you to act as a Django Unit Test Generator. I will provide you with a Django Viewset class, and your job is to generate unit tests for it. Ensure the following:
1. Create test cases for all CRUD (Create, Read, Update, Delete) operations.
2. Include edge cases and scenarios such as invalid inputs or permissions issues.
3. Use Django's TestCase class and the APIClient for making requests.
4. Make use of setup methods to initialize any required data.
Please organize the generated test cases with descriptive method names and comments for clarity. Ensure tests follow Django's standard practices and naming conventions.nameDjango Unit Test Generator for ViewsetsdescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Coding skill centered on Django Unit Test Generator for Viewsets. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.