openclaw-skills/senior-devops/SKILL.md
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
npx skillsauth add seaworld008/commonly-used-high-value-skills senior-devopsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Complete toolkit for senior devops with modern tools and best practices.
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]
Automated tool for pipeline generator tasks.
Features:
Usage:
python scripts/pipeline_generator.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/terraform_scaffolder.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/deployment_manager.py [arguments] [options]
Comprehensive guide available in references/cicd_pipeline_guide.md:
Complete workflow documentation in references/infrastructure_as_code.md:
Technical reference guide in references/deployment_strategies.md:
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
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/terraform_scaffolder.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/cicd_pipeline_guide.mdreferences/infrastructure_as_code.mdreferences/deployment_strategies.md# 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/
Check the comprehensive troubleshooting section in references/deployment_strategies.md.
references/cicd_pipeline_guide.mdreferences/infrastructure_as_code.mdreferences/deployment_strategies.mdscripts/ directorydevelopment
Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.
testing
Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.
development
Converting document formats (Markdown/Word/Excel/PDF/HTML). Converts specs from Scribe and reports from Harvest into distributable formats; generates reusable conversion scripts. Use when converting documents, building accessibility-compliant PDFs, or creating Pandoc/LibreOffice pipelines.
testing
Curating cross-agent knowledge and guarding institutional memory. Extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices, prevents organizational forgetting. Use when consolidating cross-agent insights, curating memory, or auditing knowledge decay.