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Deployment Automation

  • 115 installs
  • 38 repo stars
  • Updated January 5, 2026
  • qodex-ai/ai-agent-skills

For integrating A developer tool for AI integration and automation

About

A developer tool for AI integration and automation. This is a developer tool for building and integrating AI-powered features.

  • AI
  • Developer tool

Deployment Automation by the numbers

  • 115 all-time installs (skills.sh)
  • Ranked #3,917 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/qodex-ai/ai-agent-skills --skill deployment-automation

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Listed on Skillselion
Installs115
repo stars38
Last updatedJanuary 5, 2026
Repositoryqodex-ai/ai-agent-skills

What it does

For integrating A developer tool for AI integration and automation

Files

SKILL.mdMarkdownGitHub ↗

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

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