
ai-chatbot
Full-featured AI chatbot with Next.js 15, Auth.js, Drizzle ORM, and multi-model support.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rebyteai-template/rebyte-skills --skill ai-chatbot- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ai-chatbot automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AI Chatbot
A full-featured, hackable AI chatbot with authentication, file storage, and multi-model support.
Tech Stack
- Framework: Next.js 15
- React: React 19
- AI: AI SDK, Vercel AI Gateway
- Auth: Auth.js
- ORM: Drizzle
- Database: PostgreSQL (Neon, Supabase, or Railway)
- Styling: Tailwind CSS, shadcn/ui
- Package Manager: pnpm
- Dev Port: 3000
Setup
1. Clone the Template
git clone --depth 1 https://github.com/Eng0AI/ai-chatbot-template.git .
If the directory is not empty:
git clone --depth 1 https://github.com/Eng0AI/ai-chatbot-template.git _temp_template
mv _temp_template/* _temp_template/.* . 2>/dev/null || true
rm -rf _temp_template
2. Remove Git History (Optional)
rm -rf .git
git init
3. Install Dependencies
pnpm install
4. Setup Environment Variables
cp .env.example .env
Required variables:
POSTGRES_URL- PostgreSQL connection stringAUTH_SECRET- Generate withopenssl rand -base64 32OPENAI_API_KEYorANTHROPIC_API_KEY- LLM provider key
5. Run Database Migrations
pnpm db:migrate
Build
pnpm build
Or run build without migration (if already migrated):
next build
Deploy
Vercel (Recommended)
# Pull project settings
vercel pull --yes -t $VERCEL_TOKEN
# Push env vars (first time only)
while IFS='=' read -r key value; do
[[ "$key" =~ ^#.*$ || -z "$key" || -z "$value" ]] && continue
for env in production preview development; do
printf '%s' "$value" | vercel env add "$key" $env -t $VERCEL_TOKEN
done
done < .env
# Build and deploy
vercel build --prod -t $VERCEL_TOKEN
vercel deploy --prebuilt --prod --yes -t $VERCEL_TOKEN
Netlify
# Import env vars (first time only)
netlify env:import .env
# Deploy
netlify deploy --prod
Critical Notes
- Database Required: Must have PostgreSQL database set up before building
- Migration Required: Run
pnpm db:migratebefore first build - Auth Secret: Generate a secure random secret for AUTH_SECRET
- Never run
pnpm devin VM environment
FAQ
What does the ai-chatbot skill do?
Full-featured AI chatbot with Next.js 15, Auth.js, Drizzle ORM, and multi-model support.
How do I install ai-chatbot?
Run npx skills add https://github.com/rebyteai-template/rebyte-skills --skill ai-chatbot in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-chatbot/ (personal) or .claude/skills/ai-chatbot/ (project).
Which AI agents can use ai-chatbot?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ai-chatbot safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ai-chatbot?
It is published by rebyteai-template in rebyteai-template/rebyte-skills. It has 69 recorded installs.
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