npx skills add https://github.com/vercel-labs/academy-skills --skill Python on Vercel
Companion skill for the Python on Vercel course. Ship a FastAPI backend and a Next.js 16 frontend as a single Vercel project, on the hobby plan, under one domain.
/python-on-vercel learnStart the guided learning loop. Six lessons across three sections: setup, connecting the apps, and deploying to Vercel.
/python-on-vercel newScaffold a Python + Next.js project on Vercel:
vercel-labs/python-on-vercel-academy)npm install and Python deps via pyproject.tomlvercel login)vercel dev/ renders mock data and /api/items returns JSON/python-on-vercel submitEvaluate the current implementation against the active lesson's outcomes.
https://vercel.com/academy/python-on-vercel.md → course overview
https://vercel.com/academy/python-on-vercel/<lesson>.md → lesson content
app/, package.json, next.config.ts)api/index.py with app = FastAPI() at module levelpyproject.toml at the root (no requirements.txt)vercel.json — Vercel auto-detects Next.js at the root and Python in api/vercel devhttp://localhost:3000/api/* to api/index.py/api prefix (e.g., @app.get("/api/items"))/ or /items will not matchfetch("/api/items") only works in the browserprocess.env.VERCEL_URL (auto-injected on every deployment)VERCEL_URL is hostname-only — prepend https:// and fall back to http://localhost:3000 for local devvercel deploy --prod ships both halves under one domain| Signal | Lesson area |
|---|---|
| Vercel CLI not installed or not authenticated | Setup (1.1) |
| api/index.py runs locally with fastapi dev | FastAPI tour (1.2) |
| app/page.tsx shows mock furniture data in the browser | Next.js tour (1.3) |
| vercel dev serves both apps on localhost:3000 | Connect (2.1) |
| app/page.tsx is async function Home() and calls /api/items | Wired (2.2) |
| Asks about deploy verification or production URLs | Deploy (3.1) |
/api/items — route in api/index.py is missing the /api prefix. Check for @app.get("/api/items"), not @app.get("/items").process.env.VERCEL_URL with a localhost fallback.app not found — the FastAPI variable must be named app at module level. Vercel looks for app at supported entrypoints (app.py, index.py, server.py, plus src/ and app/ variants). Renaming it to api, server, or application breaks deploy detection.fastapi import error — Python deps missing from pyproject.toml, or wrong Python version. Pin requires-python = ">=3.12".vercel dev does not expose /api/* — confirm the command is run from the project root and Python files live in api/.vercel.json — the project structure is the configGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
Take vercel-labs/python on vercel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm.
Without those the skill loads but fails at the first command.