senior-devops

CI/CD pipelines, infrastructure automation, and deployment management across AWS, GCP, and Azure.

davila7/claude-code-templatesUpdated May 15, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

1

total installs

1

this week

24.2K

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/davila7/claude-code-templates --skill senior-devops

1

installs

1

this week

24.2K

stars

What it does

  • Three core automation scripts: Pipeline Generator for CI/CD scaffolding, Terraform Scaffolder for infrastructure analysis and optimization, and Deployment Manager for production-grade deployments

  • Supports Docker, Kubernetes, Terraform, GitHub Actions, and CircleCI with built-in best practices and configurable templates

  • Includes comprehensive reference guides covering CI/CD patterns, infr

Category

Productivity

Last updated

May 15, 2026

Installation Guide

How to use senior-devops 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 machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add senior-devops
2

Run the install command

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

$npx skills add https://github.com/davila7/claude-code-templates --skill senior-devops

Fetches senior-devops from davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/senior-devops

Restart Cursor to activate senior-devops. Access via /senior-devops in your agent's command palette.

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Senior Devops

Complete toolkit for senior devops with modern tools and best practices.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

# Script 1: Pipeline Generator
python scripts/pipeline_generator.py [options]

# Script 2: Terraform Scaffolder
python scripts/terraform_scaffolder.py [options]

# Script 3: Deployment Manager
python scripts/deployment_manager.py [options]

Core Capabilities

1. Pipeline Generator

Automated tool for pipeline generator tasks.

Features:

  • Automated scaffolding
  • Best practices built-in
  • Configurable templates
  • Quality checks

Usage:

python scripts/pipeline_generator.py <project-path> [options]

2. Terraform Scaffolder

Comprehensive analysis and optimization tool.

Features:

  • Deep analysis
  • Performance metrics
  • Recommendations
  • Automated fixes

Usage:

python scripts/terraform_scaffolder.py <target-path> [--verbose]

3. Deployment Manager

Advanced tooling for specialized tasks.

Features:

  • Expert-level automation
  • Custom configurations
  • Integration ready
  • Production-grade output

Usage:

python scripts/deployment_manager.py [arguments] [options]

Reference Documentation

Cicd Pipeline Guide

Comprehensive guide available in references/cicd_pipeline_guide.md:

  • Detailed patterns and practices
  • Code examples
  • Best practices
  • Anti-patterns to avoid
  • Real-world scenarios

Infrastructure As Code

Complete workflow documentation in references/infrastructure_as_code.md:

  • Step-by-step processes
  • Optimization strategies
  • Tool integrations
  • Performance tuning
  • Troubleshooting guide

Deployment Strategies

Technical reference guide in references/deployment_strategies.md:

  • Technology stack details
  • Configuration examples
  • Integration patterns
  • Security considerations
  • Scalability guidelines

Tech Stack

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure

Development Workflow

1. Setup and Configuration

# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env

2. Run Quality Checks

# Use the analyzer script
python scripts/terraform_scaffolder.py .

# Review recommendations
# Apply fixes

3. Implement Best Practices

Follow the patterns and practices documented in:

  • references/cicd_pipeline_guide.md
  • references/infrastructure_as_code.md
  • references/deployment_strategies.md

Best Practices Summary

Code Quality

  • Follow established patterns
  • Write comprehensive tests
  • Document decisions
  • Review regularly

Performance

  • Measure before optimizing
  • Use appropriate caching
  • Optimize critical paths
  • Monitor in production

Security

  • Validate all inputs
  • Use parameterized queries
  • Implement proper authentication
  • Keep dependencies updated

Maintainability

  • Write clear code
  • Use consistent naming
  • Add helpful comments
  • Keep it simple

Common Commands

# Development
npm run dev
npm run build
npm run test
npm run lint

# Analysis
python scripts/terraform_scaffolder.py .
python scripts/deployment_manager.py --analyze

# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/

Troubleshooting

Common Issues

Check the comprehensive troubleshooting section in references/deployment_strategies.md.

Getting Help

  • Review reference documentation
  • Check script output messages
  • Consult tech stack documentation
  • Review error logs

Resources

  • Pattern Reference: references/cicd_pipeline_guide.md
  • Workflow Guide: references/infrastructure_as_code.md
  • Technical Guide: references/deployment_strategies.md
  • Tool Scripts: scripts/ directory

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.674 reviews
  • C
    Camila MensahDec 28, 2024

    We added senior-devops from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • L
    Luis TandonDec 20, 2024

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

  • L
    Luis SmithDec 16, 2024

    senior-devops has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • D
    Dev ChenDec 8, 2024

    Registry listing for senior-devops matched our evaluation — installs cleanly and behaves as described in the markdown.

  • L
    Luis MenonDec 8, 2024

    senior-devops fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • C
    Charlotte HuangDec 4, 2024

    senior-devops is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • L
    Luis MalhotraDec 4, 2024

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

  • L
    Luis VermaNov 27, 2024

    We added senior-devops from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • S
    Sofia TorresNov 23, 2024

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

  • O
    Olivia GhoshNov 19, 2024

    senior-devops fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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