eve-fullstack-app-design▌
incept5/eve-skillpacks · updated Apr 8, 2026
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Architect applications where the manifest is the blueprint, the platform handles infrastructure, and every design decision is intentional.
Full-Stack App Design on Eve Horizon
Architect applications where the manifest is the blueprint, the platform handles infrastructure, and every design decision is intentional.
When to Use
Load this skill when:
- Designing a new application from scratch on Eve
- Migrating an existing app onto the platform
- Evaluating whether your current architecture uses Eve's capabilities well
- Planning service topology, database strategy, or deployment pipelines
- Deciding between managed and external services
This skill teaches design thinking for Eve's PaaS layer. For CLI usage and operational detail, load the corresponding eve-se skills (eve-manifest-authoring, eve-deploy-debugging, eve-auth-and-secrets, eve-pipelines-workflows).
The Manifest as Blueprint
The manifest (.eve/manifest.yaml) is the single source of truth for your application's shape. Treat it as an architectural document, not just configuration.
What the Manifest Declares
| Concern | Manifest Section | Design Decision |
|---|---|---|
| Service topology | services |
What processes run, how they connect |
| Infrastructure | services[].x-eve |
Managed DB, ingress, roles |
| Build strategy | services[].build + registry |
What gets built, where images live |
| Release pipeline | pipelines |
How code flows from commit to production |
| Environment shape | environments |
Which environments exist, what pipelines they use |
| Agent configuration | x-eve.agents, x-eve.chat |
Agent profiles, team dispatch, chat routing |
| Runtime defaults | x-eve.defaults |
Harness, workspace, git policies |
Design principle: If an agent or operator can't understand your app's shape by reading the manifest, the manifest is incomplete.
Service Topology
Choose Your Services
Most Eve apps follow one of these patterns:
API + Database (simplest):
services:
api: # HTTP service with ingress
db: # managed Postgres
API + Worker + Database:
services:
api: # HTTP service (user-facing)
worker: # Background processor (jobs, queues)
db: # managed Postgres
Multi-Service:
services:
web: # Frontend/SSR
api: # Backend API
worker: # Background jobs
db: # managed Postgres
redis: # external cache (x-eve.external: true)
Service Design Rules
- One concern per service. Separate HTTP serving from background processing. An API service should not also run scheduled jobs.
- Use managed DB for Postgres. Declare
x-eve.role: managed_dband let the platform provision, connect, and inject credentials. No manual connection strings. - Mark external services explicitly. Use
x-eve.external: truewithx-eve.connection_urlfor services hosted outside Eve (Redis, third-party APIs). - Use
x-eve.role: jobfor one-off tasks. Migrations, seeds, and data backfills are job services, not persistent processes. - Expose ingress intentionally. Only services that need external HTTP access get
x-eve.ingress.public: true. Internal services communicate via cluster networking.
App Object Storage
Apps that need to store files (uploads, avatars, exports) can declare object store buckets in the manifest:
services:
api:
x-eve:
object_store:
buckets:
- name: uploads
visibility: private
- name: avatars
visibility: public
Note: The database schema for app object stores exists, but automatic provisioning from the manifest is not yet wired. See
references/object-store-filesystem.mdfor current status.
When wired, the platform injects STORAGE_ENDPOINT, STORAGE_ACCESS_KEY, STORAGE_SECRET_KEY, STORAGE_BUCKET, and STORAGE_FORCE_PATH_STYLE into the service container.
Cloud FS / Google Drive Storage
For document-oriented storage, use cloud FS mounts. Each org connects its own Google Drive via BYOA OAuth credentials, then mounts folders into the org filesystem:
eve integrations configure google-drive --client-id "..." --client-secret "..."
eve integrations connect google-drive
eve cloud-fs mount --org org_xxx --provider google-drive --folder-id <id> --label "Shared Drive"
Apps can browse and search mounted Drive content through Eve's Cloud FS surface (eve cloud-fs ls, eve cloud-fs search, and the per-mount Cloud FS API routes). This is complementary to object store buckets -- use cloud FS for shared documents and collaboration, use object store for app-managed binary assets.
Platform-Injected Variables
Every deployed service receives EVE_API_URL, EVE_PUBLIC_API_URL, EVE_PROJECT_ID, EVE_ORG_ID, and EVE_ENV_NAME. Use EVE_API_URL for server-to-server calls. Use EVE_PUBLIC_API_URL for browser-facing code. Design your app to read these rather than hardcoding URLs.
Reference Architecture: SPA + API + Managed DB
The most common Eve fullstack pattern. A nginx-fronted SPA proxies API calls to an internal backend, with managed Postgres and eve-migrate for schema management.
Service Layout
services:
web: # nginx SPA (public ingress, proxies /api/ → api service)
api: # NestJS/Express backend (internal, no public ingress)
db: # managed Postgres 16
migrate: # eve-migrate job (runs SQL migrations)
Why nginx proxy? The web service's nginx reverse-proxies /api/ to the internal API service. This eliminates CORS, removes the need for hard-coded API hostnames, and gives the SPA same-origin access to the backend. The API service has no public ingress — it's only reachable inside the cluster.
Manifest Shape
services:
api:
build:
context: ./apps/api
dockerfile: ./apps/api/Dockerfile
ports: [3000]
environment:
NODE_ENV: production
DATABASE_URL: ${managed.db.url}
CORS_ORIGIN: "https://myapp.eh1.incept5.dev"
# No x-eve.ingress — API is internal only
web:
build:
context: ./apps/web
dockerfile: ./apps/web/Dockerfile
ports: [80]
environment:
API_SERVICE_HOST: ${ENV_NAME}-api # k8s service DNS for nginx proxy
depends_on:
api:
condition: service_healthy
x-eve:
ingress:
public: true
port: 80
alias: myapp # https://myapp.{org}-{project}-{env}.eh1.incept5.dev
migrate:
image: public.ecr.aws/w7c4v0w3/eve-horizon/migrate:latest
environment:
DATABASE_URL: ${managed.db.url}
MIGRATIONS_DIR: /migrations
x-eve:
role: job
files:
- source: db/migrations
target: /migrations
db:
x-eve:
role: managed_db
managed:
class: db.p1
engine: postgres
engine_version: "16"
The nginx Proxy
The web service Dockerfile builds the SPA with Vite, then serves it via nginx. The nginx config uses envsubst to resolve ${API_SERVICE_HOST} at container startup:
server {
listen 80;
root /usr/share/nginx/html;
index index.html;
location /api/ {
proxy_pass http://${API_SERVICE_HOST}:3000/;
proxy_http_version 1.1;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_buffering off;
}
location / {
try_files $uri $uri/ /index.html;
}
location /health {
return 200 "ok";
add_header Content-Type text/plain;
}
}
In the manifest, API_SERVICE_HOST: ${ENV_NAME}-api resolves to the k8s service name (e.g., sandbox-api), giving nginx a stable internal DNS target.
Eve-Migrate for Schema Management
Eve provides a purpose-built migration runner at public.ecr.aws/w7c4v0w3/eve-horizon/migrate:latest. It uses plain SQL files with timestamp prefixes, tracked in a schema_migrations table (idempotent, checksummed, transactional).
db/
migrations/
20260312000000_initial_schema.sql
20260312100000_seed_data.sql
20260315000000_add_status_column.sql
Mount migrations into the container via x-eve.files. The migrate step in the pipeline runs after deploy (the managed DB must be provisioned first).
Do not use TypeORM, Knex, or Flyway migrations — they add complexity and diverge from the Eve platform's migration tracking. The eve-migrate runner gives parity between local dev and staging.
Multi-Stage Dockerfiles
API Dockerfile (NestJS/Node):
FROM node:22-slim AS base
WORKDIR /app
ENV PNPM_HOME="/pnpm" PATH="$PNPM_HOME:$PATH"
RUN corepack enable && corepack prepare pnpm@latest --activate
FROM base AS deps
COPY package.json pnpm-lock.yaml ./
RUN pnpm install --frozen-lockfile 2>/dev/null || pnpm install
FROM deps AS build
COPY tsconfig.json ./
COPY src ./src
RUN pnpm build
FROM node:22-slim AS production
WORKDIR /app
RUN groupadd --gid 1000 node || true && useradd --uid 1000 --gid node --shell /bin/bash --create-home node || true
COPY /app/node_modules ./node_modules
COPY How to use eve-fullstack-app-design on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add eve-fullstack-app-design
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches eve-fullstack-app-design from GitHub repository incept5/eve-skillpacks and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate eve-fullstack-app-design. Access the skill through slash commands (e.g., /eve-fullstack-app-design) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★46 reviews- ★★★★★Aanya Menon· Dec 28, 2024
I recommend eve-fullstack-app-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dhruvi Jain· Dec 24, 2024
eve-fullstack-app-design reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Soo Chen· Dec 16, 2024
Registry listing for eve-fullstack-app-design matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★James Abebe· Dec 12, 2024
eve-fullstack-app-design reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Xiao Robinson· Nov 19, 2024
eve-fullstack-app-design reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 15, 2024
I recommend eve-fullstack-app-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★James Agarwal· Nov 7, 2024
Useful defaults in eve-fullstack-app-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noor Dixit· Nov 3, 2024
I recommend eve-fullstack-app-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nikhil Thompson· Oct 26, 2024
I recommend eve-fullstack-app-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Benjamin Mensah· Oct 22, 2024
Useful defaults in eve-fullstack-app-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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