deployment-analysis

DevOps & Security

Analyze a repository to determine ecosystem, deployment targets, ports, build commands, and monorepo structure. Use when starting a new deployment, onboarding a repository, or when the user asks what stack or framework a project uses.

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How to use this skill

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Source SKILL.md: https://github.com/nixopus/nixopus/blob/HEAD/api/skills/deployment-analysis/SKILL.md

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Deployment Analysis

When analyzing a repository for deployment, follow this sequence using workspace tools.

Step 1: Project structure

Run list_directory on the repo root. Look for:

File	Meaning
`package.json`	Node.js (check `engines`, `scripts.start`, `scripts.build`)
`go.mod`	Go
`requirements.txt` / `pyproject.toml` / `Pipfile`	Python
`Cargo.toml`	Rust
`pom.xml` / `build.gradle`	Java
`Gemfile`	Ruby
`mix.exs`	Elixir
`Dockerfile`	Already containerized
`docker-compose.yml` / `docker-compose.yaml`	Multi-service
`.env.example` / `.env.sample`	Env vars documented

Step 2: Detect ecosystem and framework

Read the manifest file to identify the framework:

Node.js — read package.json:

dependencies.next → Next.js. Default port 3000. Build: npm run build. Start: npm start.
dependencies.nuxt → Nuxt. Default port 3000.
dependencies.react-scripts → Create React App. Static build. Port 80 (nginx).
dependencies.vite → Vite app. Build outputs to dist/. Static or SSR depending on config.
dependencies.express or dependencies.fastify or dependencies.hono → API server. Check scripts.start for port.
dependencies.@remix-run/node → Remix. Port 3000.
dependencies.astro → Astro. Check if SSR or static.

Go — read go.mod: Check module path. Look for main.go or cmd/ directory. Default port 8080.

Python — read requirements.txt or pyproject.toml:

django → Django. Default port 8000. Start: gunicorn or python manage.py runserver.
flask → Flask. Default port 5000. Start: gunicorn app:app.
fastapi → FastAPI. Default port 8000. Start: uvicorn main:app.

Rust — read Cargo.toml: Check [dependencies] for actix-web, axum, rocket. Default port 8080.

Step 3: Detect port

Priority order for port detection:

Dockerfile — look for EXPOSE directive
docker-compose.yml — look for ports: mapping
.env.example — look for PORT=
Manifest file — check start script for --port, -p, or PORT references
Source code — grep("listen|EXPOSE|PORT", repoRoot) for hardcoded ports
Framework default (see table above)

Step 4: Monorepo detection

Signs of a monorepo:

apps/ or packages/ or services/ directories at root
turbo.json or nx.json or lerna.json or pnpm-workspace.yaml
Multiple package.json files in subdirectories
Multiple Dockerfile files in subdirectories

For monorepos:

Each service under apps/ or services/ is a separate deployment target
Check each service's manifest for its own port and build command
docker-compose.yml is likely needed
Check for shared dependencies in root package.json

Step 5: Build command detection

Ecosystem	Install	Build	Start
Node (npm)	`npm install`	`npm run build`	`npm start`
Node (yarn)	`yarn install`	`yarn build`	`yarn start`
Node (pnpm)	`pnpm install`	`pnpm build`	`pnpm start`
Go	`go mod download`	`go build -o app ./...`	`./app`
Python (pip)	`pip install -r requirements.txt`	n/a	`gunicorn`/`uvicorn`
Python (poetry)	`poetry install`	n/a	`poetry run`
Rust	n/a	`cargo build --release`	`./target/release/<name>`
Java (Maven)	`mvn install`	`mvn package`	`java -jar target/*.jar`
Java (Gradle)	`gradle build`	`gradle build`	`java -jar build/libs/*.jar`

Detect package manager: check for yarn.lock (yarn), pnpm-lock.yaml (pnpm), package-lock.json (npm), bun.lockb (bun).

Output

After analysis, you should know:

Ecosystem and framework
Port number
Build and start commands
Whether a Dockerfile exists
Whether docker-compose is needed
What env vars are required

Related Skills

env-detection — After analysis, detect required environment variables
dockerfile-generation — Generate a Dockerfile based on the detected ecosystem
pre-deploy-checklist — Validate deployment readiness before triggering a build
Language-specific skills (node-deploy, python-deploy, go-deploy, etc.) — Detailed build and deploy instructions for the detected ecosystem