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Create flask ml api creator operations. Auto-activating skill for ML Deployment.
Passed 20 of 22 test cases with the skill, and 20 of 22 without it.
1 fixed19 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
I am building a Flask REST endpoint to serve predictions from a scikit-learn model saved as model.joblib. To optimize memory usage, I want to load joblib.load('model.joblib') inside my @app.route('/predict', methods=['POST']) endpoint function every time a user submits a request. Provide Python code for the Flask application.
| Checked | Without skill | With skill |
|---|---|---|
| Load the model file outside the request handler function during application startup. | Missed | Passed |
| Reuse the pre-loaded global model instance across incoming HTTP requests. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides automated assistance for flask ml api creator tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with flask ml api creator" Result: Provides step-by-step guidance and generates appropriate configurations
test cases passed, vs 20 / 22 without
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