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4 skills · 0 Featured · 44 total stars

Commonly used with

Skills using Flask (4)

API & Backend Listed

fastapi

FastAPI modern Python web framework. Covers routing, Pydantic models, dependency injection, and async support. Use when building Python APIs. USE WHEN: user mentions "fastapi", "pydantic", "async python api", "python rest api", asks about "dependency injection python", "python openapi", "python swagger", "async endpoints", "python api validation", "fastapi middleware" DO NOT USE FOR: Django apps - use `django` instead, Flask apps - use `flask` instead, synchronous Python APIs without type hints, GraphQL-only APIs

33 Updated today
claude-dev-suite
Code & Development Listed

python-backend-expert

This skill should be used when the user is writing, reviewing, debugging, or architecting Python backend services (FastAPI + SQLAlchemy 2.0 async + Pydantic v2) or long-running runtime processes (workers, ETL, daemons, CLI tools). Assumes Python 3.13+/3.14; detects installed libraries from pyproject.toml/uv.lock and adapts. Covers async correctness, dependency injection with Annotated[T, Depends], N+1 and MissingGreenlet, lifecycle and graceful shutdown, signals/subprocess/atomic writes, project structure, validation, testing, and AI-generated anti-patterns. Trigger phrases include "critique my FastAPI backend", "why am I getting MissingGreenlet", "is this blocking the event loop", "fix N+1 query", "structure my FastAPI project", "review my Pydantic models", "write a Python worker", "subprocess deadlock", and "process keeps growing in memory". Not for Django or Flask apps, notebooks, or data-science scripts — those stacks have different idioms this skill would misapply.

11 Updated 2 weeks ago
johnkozaris
AI & Automation Listed

codebase-onboarding

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

0 Updated yesterday
TeiNam
Web & Frontend Listed

frontend-design

Designs and generates modern, production-ready UI for Spendly, a personal expense tracker built on Flask + Jinja2 + vanilla CSS (repo - https://github.com/Arijit-mondal099/spendly). Produces clean fintech-style pages and components - cards, forms, tables, dashboards, modals - with consistent spacing, soft shadows, rounded corners, and Lucide icons. Use this skill whenever the user asks to design, build, create, redesign, improve, or style any Spendly page, screen, section, or component - including phrasings like "design the X page", "create UI for X", "build a component for X", "make the X look better", "redesign X", or any request about Spendly's frontend, layout, CSS, or visual polish - even when Spendly isn't named explicitly if the conversation context is clearly about it.

0 Updated 1 weeks ago
Arijit-mondal099

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