bitlysis-infrastructure
Bitlysis — Infrastructure & DevOps
When to Use
- Writing or reviewing Dockerfiles
- Setting up GitHub Actions CI/CD workflows
- Configuring Render or Vercel deployments
- Managing environment variables and secrets
- Adding monitoring, health checks, or observability
- Working on
Dockerfile*,.github/workflows/*.yml,render.yaml,vercel.json
Instructions
Step 1: Docker Multi-Stage Build
More from bernieweb3/bitlysis-skills
bitlysis-testing
Write comprehensive tests for Bitlysis using Vitest (TypeScript), pytest (Python), and Playwright (E2E). Use when adding unit tests, integration tests, E2E tests, or when improving test coverage for any part of the codebase.
1bitlysis-security-audit
Perform security review and apply security best practices for Bitlysis — authentication, authorization, input validation, smart contract security, OWASP Top 10, and dependency auditing. Use when reviewing auth flows, API security, contract audits, or before deploying to production.
1bitlysis-ai-agents-llm
Apply best practices for LLM applications, AI agents, RAG pipelines, and evaluations in Bitlysis. Use when building agentic workflows, integrating LLM APIs, designing RAG systems, writing eval test cases, or working in agent/llm/rag/eval/mcp directories.
1bitlysis-fullstack
Apply Bitlysis fullstack development standards for Next.js 15 (App Router), React 19, FastAPI, Drizzle ORM, and TanStack Query. Use when building frontend components, API endpoints, database schemas, or full-stack features.
1bitlysis-project-core
Apply Bitlysis core project standards — tech stack validation, naming conventions, quality gates, and specialist agent routing. Use this skill before starting any feature, refactor, or debugging session in the Bitlysis codebase.
1bitlysis-data-science
Apply Bitlysis data science best practices for R, Python, Quarto, and reproducible analysis pipelines. Use when working on statistical analysis, data pipelines, notebooks, R packages, or any file with .R, .Rmd, .qmd, or .ipynb extensions.
1