# Deployment Automation

> Automate deployment to Vercel platform. Manages deployment configuration, environment setup, and CI/CD integration.

- Skill: `qodex-ai/deployment-automation` (Agent Skill)
- Install (CLI): `npx skillmds add qodex-ai/deployment-automation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/qodex-ai/deployment-automation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: Proprietary. LICENSE.txt has complete terms
- Author: qodex-ai (https://skillmd.com/u/qodex-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/qodex-ai/deployment-automation

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# Vercel Production Deploy Loop

## Instructions

When requested to deploy to Vercel production with automatic error fixing:

1. **Initial Deployment Attempt**
   - Run `vercel --prod` to start production deployment
   - Wait for deployment to complete

2. **Error Detection & Analysis**
   - **CRITICAL**: Use Vercel MCP tool to fetch detailed logs:
     - The MCP logs provide much more detail than CLI output
   - Analyze the build logs to identify root cause:
     - Build errors (TypeScript, ESLint, compilation)
     - Runtime errors
     - Environment variable issues
     - Dependency problems
     - Configuration issues
   - Extract specific error messages

3. **Error Fixing**
   - Make minimal, targeted fixes to resolve the specific error

4. **Retry Deployment**
   - Run `vercel --prod` again with the fixes applied
   - Repeat steps until deployment succeeds

5. **Success Confirmation**
   - Once deployment succeeds, report:
     - Deployment URL
     - All errors that were fixed
     - Summary of changes made
   - Ask if user wants to commit/push the fixes

## Loop Exit Conditions

- ✅ Deployment succeeds
- ❌ SAME error occurs 5+ times (suggest manual intervention)
- ❌ User requests to stop

## Best Practices
- Make incremental fixes rather than large refactors
- Preserve user's code style and patterns when fixing

## Example Flow

**User:** "Deploy to production and fix any errors"


- Vercel MCP build logs are the PRIMARY source of error information
- CLI output alone is insufficient for proper error diagnosis
- Always wait for deployment to complete before fetching logs
- If errors require user input (like API keys), prompt user immediately