Dep handles everything between tested code and production deployment: generating Dockerfiles, CI/CD pipelines, environment configurations, infrastructure-as-code, and deployment verification checklists. He works only on code that has already passed review and testing, and does not write application logic or review code quality.

What are the mandatory stages in a Dep CI/CD pipeline?

Dep's CI/CD pipelines include five mandatory ordered stages: lint (fail fast on syntax errors), test (Quinn's full suite), build, security-scan (dependency vulnerability scanning), and deploy (only on specific branches like main/release). No deploy stage runs if any prior stage fails.

What does Dep include in a deployment verification checklist?

Dep's deployment checklist verifies that the health endpoint returns 200, database migrations are applied, the auth flow works end-to-end, error monitoring is receiving events, and logs are shipping to the aggregator. He also provides a rollback procedure that can be executed in under 5 minutes.

What happens if an application cannot be containerized as-is?

If Dep finds the application cannot be containerized (e.g., missing health endpoint, hardcoded paths), he routes the exact fix requirements back to Mason rather than patching the application code himself.

Can Dep be used standalone for existing repos?

Yes, Dep can be invoked outside the full workflow to set up CI/CD or containerization for an existing repo. He reads the codebase structure and produces only the relevant subset of output (pipeline only, Dockerfile only, etc.).

Skill

Generate production-ready deployment configs and CI/CD pipelines

Name: Generate production-ready deployment configs and CI/CD pipelines
Availability: OnlineOnly
Author: Antigravity

Prepare reviewed and tested applications for deployment with containers, gated CI/CD, environment configuration, and verification checklists.

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Updated last month

Source checked Oct 6, 2026

Version 18.15.0

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Why it matters

Take tested application code and make it production-ready by generating containerization configs, CI/CD pipelines, environment management, infrastructure-as-code, and deployment verification procedures.

Outcomes

What it gets done

Generate Dockerfiles with multi-stage builds, non-root users, and health checks

Create CI/CD pipelines with mandatory lint, test, build, security-scan, and deploy stages

Configure environment variables, secrets management strategy, and infrastructure-as-code

Produce deployment verification checklists, rollback procedures, and observability setup

Install

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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-dep | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Dep produces deployment configuration for code that has passed review and tests. Its package covers containerization, gated CI/CD, environment management, optional infrastructure, observability, verification, and rollback. Use it when preparing a tested application for deployment or adding a specific deployment component to an existing repository. Resolve application blockers and ambiguous platform choices before completing the package.

What it does

Dep handles the transition from code working locally to a deployable production artifact. In the standard squad flow, it starts after Luna's review and Quinn's tests. It generates build configuration, containers, CI/CD, environment management, and deployment verification rather than application logic or a separate code-quality review.

Containerization includes a Dockerfile with pinned base images, multi-stage builds where appropriate, a non-root runtime user, only necessary files, a HEALTHCHECK, and documented ports. A .dockerignore excludes development dependencies, tests, and secrets. Local docker-compose.yml configuration includes dependent databases, caches, or queues, with service image versions pinned rather than using latest.

The pipeline orders lint, test, build, security-scan, and deploy stages. Quinn's full suite runs in the test stage, and deployment cannot run when an earlier stage fails. Deploy triggers are restricted to specified branches such as main or release. Staging and production use separate triggers and configurations, with branch-protection recommendations for GitHub or GitLab.

Environment work produces a commented .env.example, framework-specific configuration where needed, and a secrets-management strategy. The package distinguishes build-time from runtime variables and lists environment-specific endpoints such as database, API, and CDN addresses. Actual secrets remain outside committed environment files.

When to use - and when NOT to

Use Dep to prepare reviewed, tested code for deployment, or to set up a focused component such as CI or a Dockerfile for an existing repository. In that narrower mode it reads the codebase structure and Quinn's latest report when available, then returns the relevant subset.

Do not ask it to repair application logic as part of containerization. Missing health endpoints or hardcoded paths become specific fix requests to Mason, identifying the exact file and required change. Cloud-provider assumptions must be explicit, and an ambiguous deployment target is raised as a question. Infrastructure should match the application's scope rather than add unnecessary complexity.

Inputs and outputs

Inputs include the application, test report, target platform, required variables, and cloud-provider choices when infrastructure is in scope. The DEP DEPLOYMENT PACKAGE records generated files, variable descriptions and secrecy classifications, pipeline stages, a deployment verification checklist, rollback instructions, and open questions.

Infrastructure as code is conditional on a specified provider. It may use Terraform, Pulumi, or CloudFormation for conservative resource sizing, autoscaling, networking rules, and managed databases with backups. Observability specifies structured JSON logs with request ID, timestamp, level, and message; health and readiness responses; request, error, and database-latency metrics; and alert recommendations.

The first-deployment checklist covers health responses, successful migrations, end-to-end authentication, monitoring events, and log delivery. Rollback is documented as a simple procedure intended to run in under five minutes. The final handoff flags post-deployment concerns such as migration ordering and secret rotation, and includes comments that help maintain generated files.

Integrations

Pipeline targets include GitHub Actions, GitLab CI, and CircleCI. Dependency scanning examples include npm audit, pip audit, and trivy. Secrets-management options include Vault, AWS Secrets Manager, and GitHub Secrets. Sentry and Datadog support scoped error tracking, while RDS and Cloud SQL illustrate managed database options. The squad workflow connects Luna's review, Quinn's tests, Mason's application fixes, and delivery of the completed package through the main agent.

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