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Skills/Dagger
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Dagger

Write CI/CD pipelines as code with Dagger — portable, cacheable, container-based pipelines that run locally and in any CI system. Use when someone asks to "write CI pipeline in TypeScript", "portable CI/CD", "run GitHub Actions locally", "Dagger pipeline", "CI as code", "containerized build pipeline", or "test my CI locally before pushing". Covers Dagger SDK (TypeScript/Python), pipeline composition, caching, secrets, and multi-stage builds.

#ci-cd#containers#pipelines#dagger#docker
terminal-skillsv1.1.0
Works with:claude-codeopenai-codexgemini-clicursor
Source
Trust Score
87/ 100
1.10×
Impact

Validation

Quality
87/ 100
Does it follow best practices?
4 PASS · 2 WEAK
Security
Passed
No known issues
Content review + injection scan
Impact
1.10×
78% → 86% agent success
Avg across 3 eval scenarios
Scored 10/2/2026 · skill v1.1.0
agent@terminalskills — playground
full playground →

Prove Dagger on your task

simulated preview
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real run in an isolated sandbox · files auto-deleted after 7 days · nothing touches your machine

$
✓ Installed dagger v1.1.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Deploy the latest build to the staging environment and run smoke tests"
  • "Check the CI pipeline status and summarize any recent failures"

Documentation

Overview

Dagger lets you write CI/CD pipelines in TypeScript, Python, or Go instead of YAML. Pipelines run in containers, are fully cacheable, and work identically on your laptop and in GitHub Actions/GitLab CI/Jenkins. No more "works in CI but not locally" — test your entire pipeline before pushing.

When to Use

  • Tired of debugging YAML-based CI configs by pushing commits
  • Need to run the exact same pipeline locally and in CI
  • Complex build pipelines that benefit from TypeScript/Python logic (conditionals, loops)
  • Want container-level caching for build steps
  • Multi-language monorepo where different projects need different pipelines

Instructions

Setup

bash
# macOS / Linux with Homebrew
brew install dagger/tap/dagger

# Linux without Homebrew: download the release and verify its checksum first
VER=0.21.10
curl -fsSLO https://dl.dagger.io/dagger/releases/$VER/dagger_v${VER}_linux_amd64.tar.gz
curl -fsSL https://dl.dagger.io/dagger/releases/$VER/checksums.txt | grep linux_amd64 | sha256sum -c -
tar -xzf dagger_v${VER}_linux_amd64.tar.gz dagger && mv dagger ~/.local/bin/

dagger version

# Create a module in your project (code goes to .dagger/)
dagger init --sdk=typescript --name=ci
dagger functions        # list what the module exposes

The CLI starts a Dagger Engine container on first use, so Docker (or another supported container runtime) must be running. Latest release checked: v0.21.10 (2026-09-30). Docs also describe a 1.0 beta line; the code below targets the 0.21 TypeScript SDK.

Basic Pipeline

typescript
// .dagger/src/index.ts - CI pipeline for a Node.js project
import { dag, Container, Directory, Secret, argument, check, object, func } from "@dagger.io/dagger";

@object()
export class Ci {
  /** Base container with dependencies installed; the npm cache persists between runs. */
  @func()
  base(
    @argument({ defaultPath: "/", ignore: ["node_modules", ".git", "dist"] })
    source: Directory,
  ): Container {
    return dag
      .container()
      .from("node:22-slim")
      .withDirectory("/app", source)
      .withWorkdir("/app")
      .withMountedCache("/root/.npm", dag.cacheVolume("npm-cache"))
      .withExec(["npm", "ci"]);
  }

  /** Lint, test and build; `dagger check` runs every @check function. */
  @func()
  @check()
  async lint(
    @argument({ defaultPath: "/", ignore: ["node_modules", ".git", "dist"] })
    source: Directory,
  ): Promise<void> {
    await this.base(source).withExec(["npm", "run", "lint"]).sync();
  }

  @func()
  @check()
  async test(
    @argument({ defaultPath: "/", ignore: ["node_modules", ".git", "dist"] })
    source: Directory,
  ): Promise<void> {
    await this.base(source).withExec(["npm", "test"]).sync();
  }

  @func()
  build(
    @argument({ defaultPath: "/", ignore: ["node_modules", ".git", "dist"] })
    source: Directory,
  ): Directory {
    return this.base(source).withExec(["npm", "run", "build"]).directory("/app/dist");
  }

  /** Build and push a runtime image; returns the pushed reference. */
  @func()
  async publish(
    @argument({ defaultPath: "/", ignore: ["node_modules", ".git", "dist"] })
    source: Directory,
    address: string,
  ): Promise<string> {
    return dag
      .container()
      .from("node:22-slim")
      .withDirectory("/app", this.build(source))
      .withWorkdir("/app")
      .withEntrypoint(["node", "index.js"])
      .publish(address);
  }
}

defaultPath: "/" makes the project root the default, so --source can be omitted. Functions with no required arguments marked @check() are what dagger check runs (check support is in the 0.21 SDK; see the quickstart if your engine is older).

Run Locally

bash
dagger check                # run every @check function (lint + test)
dagger check -l             # list the checks
dagger call test            # run one function
dagger call build export --path=./dist
dagger call publish --address=ghcr.io/acme-labs/storefront:1.4.2

Registry credentials for publish come from container.withRegistryAuth(address, username, secret); pass the token as a Secret argument, not a string.

Pipeline with Services (Database)

typescript
@func()
async integrationTest(
  @argument({ defaultPath: "/", ignore: ["node_modules", ".git"] })
  source: Directory,
): Promise<string> {
  const db = dag
    .container()
    .from("postgres:16")
    .withEnvVariable("POSTGRES_PASSWORD", "ci-only-password")
    .withEnvVariable("POSTGRES_DB", "storefront_test")
    .withExposedPort(5432)
    .asService({ useEntrypoint: true });   // run the image's own entrypoint

  return this.base(source)
    .withServiceBinding("db", db)          // reachable as host "db"
    .withEnvVariable("DATABASE_URL", "postgresql://postgres:ci-only-password@db:5432/storefront_test")
    .withExec(["npm", "run", "db:migrate"])
    .withExec(["npm", "run", "test:integration"])
    .stdout();
}

Secrets

typescript
// The Secret type keeps values out of image layers, logs and the cache.
@func()
async deploy(source: Directory, deployToken: Secret): Promise<string> {
  return this.base(source)
    .withSecretVariable("DEPLOY_TOKEN", deployToken)
    .withExec(["npm", "run", "deploy"])
    .stdout();
}
bash
export DEPLOY_TOKEN=...                       # set in your shell or CI secret store
dagger call deploy --source=. --deploy-token=env://DEPLOY_TOKEN

Other providers: file://, cmd://, op:// (1Password), vault://, aws+sm://. Argument names are kebab-cased on the CLI.

GitHub Actions Integration

yaml
# .github/workflows/ci.yml
name: CI
on: [push, pull_request]

jobs:
  ci:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: dagger/dagger-for-github@v8.4.0
        with:
          call: test
          version: "0.21.10"
          cloud-token: ${{ secrets.DAGGER_CLOUD_TOKEN }}   # optional

Pin version to the engine you developed against; the action installs that CLI.

Examples

Example 1: Monorepo CI pipeline

User prompt: "I have a monorepo with a Next.js frontend and a Python backend. Set up a CI pipeline that tests both."

The agent will create a Dagger pipeline with separate functions for frontend (Node.js container, npm test) and backend (Python container, pytest), both running from the same module; dagger check runs them in parallel and a second run reuses cached layers.

Example 2: Replace GitHub Actions with Dagger

User prompt: "My GitHub Actions workflow is 200 lines of YAML and I can't test it locally. Convert it to Dagger."

The agent runs dagger init --sdk=typescript --name=ci, translates each YAML step into a function (lint, test, build), mounts a cache volume for the package manager, and verifies with dagger check; each step prints in the TUI with a pass or fail mark, and a second run is served from cache.

Guidelines

  • Run locally first — dagger check / dagger call on your laptop before pushing to CI
  • Cache the package-manager cache, not node_modules — withMountedCache("/root/.npm", ...); a mounted node_modules hides what npm ci installed
  • Secrets via Secret type — pass with env://NAME; never as plain string arguments or withEnvVariable
  • Narrow the source — defaultPath plus ignore keeps .git and node_modules out of the upload and the cache key
  • Services for databases — asService() + withServiceBinding() for Postgres/Redis in tests
  • Each @func() is independently callable — design for composability
  • Container layers are cached — order operations so rarely-changing steps come first
  • Dagger Cloud for team caching — share build cache across CI runners
  • Use withExec for each command — separate steps for better cache granularity