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Convex Quickstart Template

Spin up a minimal Next.js + Convex starter app locally from a one-sentence idea.

Source Download skill
Repository
openclaw/clawhub
Stars
9,546
Licence
MIT
Files
2 files

What it does

When installed, the agent can turn a one-sentence app idea into a barebones Next.js and Convex project running on a local dev server with an anonymous dev backend. It runs a referenced setup recipe, opens the dev URL for you, and presents a short plan before adding features. It also carries coding rules for Convex backends (safe queries, correct imports, HTTP route patterns, and verification with a TypeScript check and a Convex push).

Great for

  • Developers who want a quick local Convex and Next.js starting point
  • Builders testing an app idea before choosing hosting or auth
  • Teams that want agents to follow Convex coding conventions

Skip it if

  • Anyone expecting a production-ready app with hosting, authentication, or a published deployment, since the skill intentionally omits them
  • Projects that must avoid running third-party setup recipes, since the recipe is fetched from a remote source and executed, which carries supply-chain risk

Try asking

  • “Make a barebones Convex and Next.js template for a habit tracker app”
  • “Quickstart a local Convex project for a recipe sharing idea”
  • “Set up a minimal Convex backend project with just the code, no docs files”
Step-by-step guide: how to use Convex Quickstart TemplateInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    convex-quickstart.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip convex-quickstart.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip convex-quickstart.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Review the recipe the skill fetches before running it, since it is pulled from a remote source and executed
  • If you already have a signed-in Convex account, tell the agent so it avoids rebinding your .env.local to an anonymous deployment
  • Ask for a plan review before features are added, since the skill is designed to pause for confirmation

What's inside

  • agents/openai.yaml
  • SKILL.md

Redistributed unmodified from openclaw/clawhub under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.