.cursor/skills/deploy-app/SKILL.md
Deploy backend and/or frontend after code changes. Use after npm run build, when deploying, restarting services, or when user mentions deploy, build, restart, or sees "Application error". BUILD WITHOUT RESTART = BROKEN SITE.
npx skillsauth add dmitryprg-ai/cursor-develop-autorules deploy-appInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Build, restart services, and verify the app is working.
Configuration: .cursor/config/project.config.json (project root, site URL, service names, etc.)
BUILD WITHOUT RESTART = BROKEN SITE. Always: build -> restart -> verify -> check logs.
Run: bash .cursor/skills/deploy-app/scripts/deploy-backend.sh
Or manually (values from config):
curl -s -u <user>:<pass> "<site_url>/api/health"Run: bash .cursor/skills/deploy-app/scripts/deploy-frontend.sh
Or manually (values from config):
cd <frontend_subdir> && <build_cmd>curl -s -u <user>:<pass> "<site_url>/" | grep "Application error"Run: bash .cursor/skills/deploy-app/scripts/deploy-all.sh
Run: bash .cursor/skills/deploy-app/scripts/verify-pages.sh
Pages to verify are listed in project.config.json → verify_pages.
Basic Auth credentials: read from .cursor/.secrets/ (path in config → auth.basic_auth_file)
development
Scan codebase for technical debt and fix safely with TDD. Use to find oversized files, duplicated code, code smells, and refactor safely. Workflow - SCAN, TEST CASES, REFACTOR, VERIFY. Keywords - techdebt, tech debt, duplicates, code quality audit.
development
Test-Driven Development workflow with strict Red-Green-Refactor cycle. Use when developing features with TDD, writing tests before code, or when test-driven approach is needed. MANDATORY order - test cases table BEFORE code, failing tests BEFORE implementation.
testing
Review work session quality and capture improvements. Use at end of session, after large tasks, after series of errors, or when user asks for session review, retrospective, lessons learned. Records improvements to backlog.
data-ai
Analyze data, investigate datasets, work with CSV/parquet/pandas/dataframes. Use when analyzing data, exploring datasets, running experiments, or when user mentions data, analysis, parquet, csv, pandas, dataframe, statistics, investigation.