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Github Actions Workflows

  • 39 installs
  • 28 repo stars
  • Updated June 29, 2026
  • nickcrew/claude-ctx-plugin

Helps with automation & workflows tasks.

About

github-actions-workflows is a Claude Code skill for automation & workflows. It helps solo builders move faster with AI-assisted development.

  • github-actions-workflows
  • Automation & Workflows
  • AI-coding skill

Github Actions Workflows by the numbers

  • 39 all-time installs (skills.sh)
  • Ranked #1,152 of 2,719 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/nickcrew/claude-ctx-plugin --skill github-actions-workflows

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Listed on Skillselion
Installs39
repo stars28
Last updatedJune 29, 2026
Repositorynickcrew/claude-ctx-plugin

What it does

Helps with automation & workflows tasks.

Files

SKILL.mdMarkdownGitHub ↗

GitHub Actions Workflows

Expert guidance for designing reliable, secure, and performant GitHub Actions CI/CD pipelines with patterns for matrix builds, reusable workflows, caching, and deployment automation.

When to Use This Skill

  • Setting up CI/CD pipelines with GitHub Actions from scratch
  • Optimizing slow or expensive GitHub Actions workflows
  • Implementing matrix builds for multi-environment testing
  • Creating reusable workflows and composite actions for DRY pipelines
  • Managing secrets securely across environments
  • Configuring caching for dependency and build artifact reuse
  • Setting up deployment workflows with staging and production gates
  • Debugging failing or flaky workflow runs
  • Implementing concurrency controls to prevent duplicate runs

Quick Reference

TaskLoad reference
Matrix builds, reusable workflows, caching, deployment, concurrencyskills/github-actions-workflows/references/workflow-patterns.md

Core Principles

  • Structured jobs: Break workflows into clear, distinct jobs with defined dependencies
  • DRY configuration: Use reusable workflows and composite actions to avoid duplication
  • Security first: Use GitHub secrets, OIDC, and minimum necessary permissions
  • Cache aggressively: Cache dependencies, build outputs, and test fixtures
  • Trigger thoughtfully: Configure event triggers to avoid unnecessary workflow runs
  • Document workflows: Add comments explaining non-obvious YAML configuration

Workflow

1. Design

Plan the pipeline structure before writing YAML.

  • Identify trigger events (push, pull_request, schedule, workflow_dispatch)
  • Map job dependencies and what can run in parallel
  • Determine caching opportunities (dependencies, build outputs)
  • Plan environment promotion (dev, staging, production)

2. Implementation

Build the pipeline incrementally.

  • Start with a minimal workflow and add complexity
  • Use matrix builds for multi-environment testing
  • Extract reusable workflows for shared patterns
  • Configure secrets management with environment protection

3. Optimization

Reduce runtime and cost.

  • Profile workflow timing to identify bottlenecks
  • Add caching for dependencies and build artifacts
  • Use concurrency controls to cancel redundant runs
  • Configure path filters to skip unaffected workflows

4. Maintenance

Keep workflows healthy over time.

  • Pin action versions to specific SHAs for security
  • Review and update actions regularly
  • Monitor workflow runtime trends and costs
  • Peer-review workflow changes before merging

Common Mistakes

  • Using actions/checkout@main instead of pinning to a SHA or version tag
  • Not setting permissions block (defaults to overly broad read-write)
  • Caching node_modules instead of the package manager cache directory
  • Missing concurrency groups, leading to duplicate deploys
  • Hardcoding secrets in workflow files instead of using GitHub Secrets
  • Running the full test suite on every push instead of using path filters
  • Not using workflow_call for shared CI logic across repositories

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