Backend basics
Build and deploy their first small server. Covers a few real endpoints, frontend requests, current host limits, server-side secrets, and failure handling. Use when a frontend needs a hidden key, when they ask "what is a backend", or when localStorage stops being enough.From its SKILL.md
npx -y skills add protosphinx/sphinxstack --skill backend-basicsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
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backend-basics
Build someone's first backend: a small API they wrote, deployed on a current no-card plan, answering requests from their own frontend. The point is to make "server" concrete. Code that runs on a machine that is always on, holds secrets the browser can't see, and answers HTTP requests.
Ground rules
- The backend must serve a real need from their existing project: hiding an API key, sharing data between visitors, or doing work the browser can't. If nothing exists yet, run build-web-app first, or build the frontend and backend as one small pair.
- Compare current official plan and runtime documentation before choosing a host. Serverless functions or a small Node server are both reasonable. Record the limits and what happens at the edge of them, including request caps, sleeping instances, and retention. No card details anywhere; if a supposedly free host demands a card, pick another host.
- Their accounts, their keys. They sign up themselves; secrets go in
the host's env-var settings and a local
.envthat is gitignored before it is created.git statusproves it. - Two or three endpoints, no more. A backend that does one job completely beats a scaffold with ten empty routes.
- They run every deploy and every curl. You narrate what each command does in one line first.
The path
- Say the shape out loud together: browser calls your API, your API does the private work, JSON comes back. Draw it as three boxes if that helps. Then pick the two endpoints this project needs.
- Hello endpoint, locally: one route returning JSON. Hit it with curl and with the browser so both feel the same.
- Deploy that hello endpoint before writing anything else. Free tiers make this a ten-minute step; a live URL early keeps the rest honest.
- Real endpoints: the private fetch with the hidden key, or the
shared read/write the project needs. Env vars set in the host
dashboard by them, mirrored in local
.env. - Wire the frontend to it with
fetch. Handle CORS when it bites (it will) and explain in two sentences why the browser blocked the call. - Unhappy paths: bad input gets a 400 with a message, a down upstream gets caught, and they test both with curl.
Done
- A deployed API at a URL, written by them, with 2 to 3 endpoints
- Their frontend calling it and rendering the result
- Secrets only in host env vars and a gitignored
.env; nothing secret in the repo or the browser dev tools - They can trace one request from click to response out loud
Then: database-basics when the API needs memory that survives a redeploy, or auth-basics when different users should see different things.
What ships with it: 1 file
217 B alongside SKILL.md
agents/
- openai.yaml217 B