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fastapi-ml-endpoint

3.4

by jeremylongshore

169Favorites
137Upvotes
0Downvotes

Configure fastapi ml endpoint operations. Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category. Use when working with APIs or building integrations. Trigger with phrases like "fastapi ml endpoint", "fastapi endpoint", "fastapi".

fastapi

3.4

Rating

0

Installs

AI & LLM

Category

Quick Review

This skill is a template skeleton with no actual FastAPI ML endpoint implementation. The description is too vague ('Configure fastapi ml endpoint operations') for a CLI agent to understand what specific capabilities exist. There is zero task knowledge - no code, steps, or guidance on building/configuring FastAPI ML endpoints, model loading, request/response schemas, health checks, or deployment patterns. While the structure is clean, it's empty boilerplate. Novelty is minimal since the skill provides no functionality beyond what a CLI agent could do by asking for 'create a FastAPI ML endpoint' directly. This needs concrete implementation: example endpoint code, model serving patterns, Dockerfile, requirements.txt, and actual FastAPI-specific guidance to be useful.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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