golang-continuous-integration

samber/cc-skills-golang · updated Apr 8, 2026

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$npx skills add https://github.com/samber/cc-skills-golang --skill golang-continuous-integration
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summary

Persona: You are a Go DevOps engineer. You treat CI as a quality gate — every pipeline decision is weighed against build speed, signal reliability, and security posture.

skill.md

Persona: You are a Go DevOps engineer. You treat CI as a quality gate — every pipeline decision is weighed against build speed, signal reliability, and security posture.

Modes:

  • Setup — adding CI to a project for the first time: start with the Quick Reference table, then generate workflows in this order: test → lint → security → release. Always check latest action versions before writing YAML.
  • Improve — auditing or extending an existing pipeline: read current workflow files first, identify gaps against the Quick Reference table, then propose targeted additions without duplicating existing steps.

Go Continuous Integration

Set up production-grade CI/CD pipelines for Go projects using GitHub Actions.

Action Versions

The versions shown in the examples below are reference versions that may be outdated. Before generating workflow files, search the internet for the latest stable major version of each GitHub Action used (e.g., actions/checkout, actions/setup-go, golangci/golangci-lint-action, codecov/codecov-action, goreleaser/goreleaser-action, etc.). Use the latest version you find, not the one hardcoded in the examples.

Quick Reference

Stage Tool Purpose
Test go test -race Unit + race detection
Coverage codecov/codecov-action Coverage reporting
Lint golangci-lint Comprehensive linting
Vet go vet Built-in static analysis
SAST gosec, CodeQL, Bearer Security static analysis
Vuln scan govulncheck Known vulnerability detection
Docker docker/build-push-action Multi-platform image builds
Deps Dependabot / Renovate Automated dependency updates
Release GoReleaser Automated binary releases

Testing

.github/workflows/test.yml — see test.yml

Adapt the Go version matrix to match go.mod:

go 1.23   → matrix: ["1.23", "1.24", "1.25", "1.26", "stable"]
go 1.24   → matrix: ["1.24", "1.25", "1.26", "stable"]
go 1.25   → matrix: ["1.25", "1.26", "stable"]
go 1.26   → matrix: ["1.26", "stable"]

Use fail-fast: false so a failure on one Go version doesn't cancel the others.

Test flags:

  • -race: CI MUST run tests with the -race flag (catches data races — undefined behavior in Go)
  • -shuffle=on: Randomize test order to catch inter-test dependencies
  • -coverprofile: Generate coverage data
  • git diff --exit-code: Fails if go mod tidy changes anything

Coverage Configuration

CI SHOULD enforce code coverage thresholds. Configure thresholds in codecov.yml at the repo root — see codecov.yml


Integration Tests

.github/workflows/integration.yml — see integration.yml

Use -count=1 to disable test caching — cached results can hide flaky service interactions.


Linting

golangci-lint MUST be run in CI on every PR. .github/workflows/lint.yml — see lint.yml

golangci-lint Configuration

Create .golangci.yml at the root of the project. See the samber/cc-skills-golang@golang-linter skill for the recommended configuration.


Security & SAST

.github/workflows/security.yml — see security.yml

CI MUST run govulncheck. It only reports vulnerabilities in code paths your project actually calls — unlike generic CVE scanners. CodeQL results appear in the repository's Security tab. Bearer is good at detecting sensitive data flow issues.

CodeQL Configuration

Create .github/codeql/codeql-config.yml to use the extended security query suite — see codeql-config.yml

Available query suites:

  • default: Standard security queries
  • security-extended: Extra security queries with slightly lower precision
  • security-and-quality: Security queries plus maintainability and reliability checks

Container Image Scanning

If the project produces Docker images, Trivy container scanning is included in the Docker workflow — see docker.yml


Dependency Management

Dependabot

.github/dependabot.yml — see dependabot.yml

Minor/patch updates are grouped into a single PR. Major updates get individual PRs since they may have breaking changes.

Auto-Merge for Dependabot

.github/workflows/dependabot-auto-merge.yml — see dependabot-auto-merge.yml

Security warning: This workflow requires contents: write and pull-requests: write — these are elevated permissions that allow merging PRs and modifying repository content. The if: github.actor == 'dependabot[bot]' guard restricts execution to Dependabot only. Do not remove this guard. Note that github.actor checks are not fully spoof-proof — branch protection rules are the real safety net. Ensure branch protection is configured (see Repository Security Settings) with required status checks and required approvals so that auto-merge only succeeds after all checks pass, regardless of who triggered the workflow.

Renovate (alternative)

Renovate is a more mature and configurable alternative to Dependabot. It supports automerge natively, grouping, scheduling, regex managers, and monorepo-aware updates. If Dependabot feels too limited, Renovate is the go-to choice.

Install the Renovate GitHub App, then create renovate.json at the repo root — see renovate.json

Key advantages over Dependabot:

  • gomodTidy: Automatically runs go mod tidy after updates
  • Native automerge: No separate workflow needed
  • Better grouping: More flexible rules for grouping PRs
  • Regex managers: Can update versions in Dockerfiles, Makefiles, etc.
  • Monorepo support: Handles Go workspaces and multi-module repos

Release Automation

GoReleaser automates binary builds, checksums, and GitHub Releases. The configuration varies significantly depending on the project type.

Release Workflow

.github/workflows/release.yml — see release.yml

Security warning: This workflow requires contents: write to create GitHub Releases. It is restricted to tag pushes (tags: ["v*"]) so it cannot be triggered by pull requests or branch pushes. Only users with push access to the repository can create tags.

GoReleaser for CLI/Programs

Programs need cross-compiled binaries, archives, and optionally Docker images.

.goreleaser.yml — see goreleaser-cli.yml

GoReleaser for Libraries

Libraries don't produce binaries — they only need a GitHub Release with a changelog. Use a minimal config that skips the build.

.goreleaser.yml — see goreleaser-lib.yml

For libraries, you may not even need GoReleaser — a simple GitHub Release created via the UI or gh release create is often sufficient.

GoReleaser for Monorepos / Multi-Binary

When a repository contains multiple commands (e.g., cmd/api/, cmd/worker/).

.goreleaser.yml — see goreleaser-monorepo.yml

Docker Build & Push

For projects that produce Docker images. This workflow builds multi-platform images, generates SBOM and provenance attestations, pushes to both GitHub Container Registry (GHCR) and Docker Hub, and includes Trivy container scanning.

.github/workflows/docker.yml — see docker.yml

Security warning: Permissions are scoped per job: the container-scan job only gets contents: read + security-events: write, while the docker job gets packages: write (to push to GHCR) and attestations: write + id-token: write (for provenance/SBOM signing). This ensures the scan job cannot push images even if compromised. The push flag is set to false on pull requests so untrusted code cannot publish images. The DOCKERHUB_USERNAME and DOCKERHUB_TOKEN secrets must be configured in the repository secrets settings — never hardcode credentials.

Key details:

  • QEMU + Buildx: Required for multi-platform builds (linux/amd64,linux/arm64). Remove platforms you don't need.
  • push: false on PRs: Images are built but never pushed on pull requests — this validates the Dockerfile without publishing untrusted code.
  • Metadata action: Automatically generates semver tags (v1.2.31.2.3, 1.2, 1), branch tags (main), and SHA tags.
  • Provenance + SBOM: provenance: mode=max and sbom: true generate supply chain attestations. These require attestations: write and id-token: write permissions.
  • Dual registry: Pushes to both GHCR (using GITHUB_TOKEN, no extra secret needed) and Docker Hub (requires DOCKERHUB_USERNAME + DOCKERHUB_TOKEN secrets). Remove the Docker Hub login and image line if not needed.
  • Trivy: Scans the built image for CRITICAL and HIGH vulnerabilities and uploads results to the Security tab.
  • Adapt the image names and registries to your project. For GHCR-only, remove the Docker Hub login step and the docker.io/ line from images:.

Repository Security Settings

After creating workflow files, ALWAYS tell the developer to configure GitHub repository settings (branch protection, workflow permissions, secrets, environments) — see repo-security.md


Common Mistakes

Mistake Fix
Missing -race in CI tests Always use go test -race
No -shuffle=on Randomize test order to catch inter-test dependencies
Caching integration test results Use -count=1 to disable caching
go mod tidy not checked Add go mod tidy && git diff --exit-code step
Missing fail-fast: false One Go version failing shouldn't cancel other jobs
Not pinning action versions GitHub Actions MUST use pinned major versions (e.g. @vN, not @master)
No permissions block Follow least-privilege per job
Ignoring govulncheck findings Fix or suppress with justification

Related Skills

See samber/cc-skills-golang@golang-linter, samber/cc-skills-golang@golang-security, samber/cc-skills-golang@golang-testing, samber/cc-skills-golang@golang-dependency-management skills.

how to use golang-continuous-integration

How to use golang-continuous-integration on Cursor

AI-first code editor with Composer

1

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 golang-continuous-integration
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/samber/cc-skills-golang --skill golang-continuous-integration

The skills CLI fetches golang-continuous-integration from GitHub repository samber/cc-skills-golang and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/golang-continuous-integration

Reload or restart Cursor to activate golang-continuous-integration. Access the skill through slash commands (e.g., /golang-continuous-integration) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.661 reviews
  • Liam Shah· Dec 28, 2024

    We added golang-continuous-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • James Rahman· Dec 12, 2024

    Keeps context tight: golang-continuous-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Layla Gill· Dec 8, 2024

    golang-continuous-integration reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Layla Khanna· Dec 8, 2024

    I recommend golang-continuous-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Liam Jain· Nov 27, 2024

    Solid pick for teams standardizing on skills: golang-continuous-integration is focused, and the summary matches what you get after install.

  • Liam Sharma· Nov 27, 2024

    golang-continuous-integration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Layla Agarwal· Nov 27, 2024

    Useful defaults in golang-continuous-integration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Omar Jain· Nov 3, 2024

    golang-continuous-integration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Omar Zhang· Oct 22, 2024

    golang-continuous-integration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kwame Rahman· Oct 18, 2024

    We added golang-continuous-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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