flask-ml-api-creator

Flask Ml Api Creator - Auto-activating skill for ML Deployment. Triggers on: flask ml api creator, flask ml api creator Part of the ML Deployment skill category.

1.02x

Quality

Does it follow best practices?

Impact

94%

1.02x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/flask-ml-api-creator/SKILL.md

Evaluation results

91%

Deploy a Sentiment Analysis Model as a REST API

Model serving Flask API

Criteria

Without context

With context

Flask framework used

100%

Prediction endpoint exists

100%

Model loaded at startup

50%

62%

Health check endpoint

100%

Input validation

100%

Confidence/probability in response

100%

Error handling

30%

40%

JSON response format

100%

Requirements file

100%

README instructions

100%

Production configuration

60%

100%

92%

Harden a Flask ML API for Production Deployment

Production-ready ML API patterns

Criteria

Without context

With context

Input validation present

100%

Type/value validation

100%

Structured logging

100%

Error handling around inference

100%

Environment-based config

100%

Debug mode not hardcoded

100%

JSON error responses

100%

Health check endpoint

Requirements file

100%

CHANGES documented

100%

Model loaded safely

100%

Add Observability to a Fraud Detection Model API

ML API monitoring and observability

Criteria

Without context

With context

Latency tracking

100%

Prediction distribution tracking

100%

Request count tracked

100%

Error rate tracked

100%

Metrics/stats endpoint

100%

Metrics persisted or logged

100%

Structured logging of predictions

87%

100%

Monitoring design document

100%

Drift detection guidance

100%

Requirements file

100%

Non-crashing metrics endpoint

100%

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 87f14eb

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Deploy a Sentiment Analysis Model as a REST API Harden a Flask ML API for Production Deployment Add Observability to a Fraud Detection Model API

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