cloud-devops
Skill2 starsChanged 41 days agoMITView on GitHub
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- juninmd/skillstheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- juninmd/skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository191 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- skills/postgres-best-practices/AGENTS.mdAGENTS.md
- skills/react-best-practices/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- api-fuzzing-bug-bountySkill
- api-patternsSkill
- api-security-testingSkill
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- application-performance-performance-optimizationSkill
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- async-python-patternsSkill
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- aws-serverlessSkill
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- azure-functionsSkill
- backend-architectSkill
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- backend-security-coderSkill
- brainstormingSkill
- breakdown-feature-implementationSkill
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- broken-authenticationSkill
- browser-testing-with-devtoolsSkill
- ci-cd-and-automationSkill
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- comprehensive-review-full-reviewSkill
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- container-security-hardeningSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Use this workflow when:
- Distinctive: line 58
Write K8s manifests
- Distinctive: line 204
Use this skill only when the task clearly matches the scope described above.
- Distinctive: line 205
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Distinctive: line 206
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Cloud/DevOps Workflow Bundle
Overview
Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development.
When to Use This Workflow
Use this workflow when:
- Setting up cloud infrastructure
- Implementing CI/CD pipelines
- Deploying Kubernetes applications
- Configuring monitoring and observability
- Managing cloud costs
- Implementing DevOps practices
Workflow Phases
Phase 1: Cloud Infrastructure Setup
Skills to Invoke
cloud-architect- Cloud architectureazure-functions- Azure developmentgcp-cloud-run- GCP developmentterraform-specialist- Advanced Terraform
Actions
- Design cloud architecture
- Set up accounts and billing
- Configure networking
- Provision resources
- Set up IAM
Copy-Paste Prompts
Use @cloud-architect to design multi-cloud architecturePhase 2: Container Orchestration
Skills to Invoke
kubernetes-architect- Kubernetes architecturedocker-expert- Docker containerizationhelm-chart-scaffolding- Helm charts
Actions
- Design container architecture
- Create Dockerfiles
- Build container images
- Write K8s manifests
- Deploy to cluster
- Configure networking
Copy-Paste Prompts
Use @kubernetes-architect to design K8s architectureUse @docker-expert to containerize applicationUse @helm-chart-scaffolding to create Helm chartPhase 3: CI/CD Implementation
Skills to Invoke
deployment-engineer- Deployment engineeringgithub-actions-templates- GitHub Actions
Actions
- Design deployment pipeline
- Configure build automation
- Set up test automation
- Configure deployment stages
- Implement rollback strategies
- Set up notifications
Copy-Paste Prompts
Use @github-actions-templates to create GitHub Actions workflowPhase 4: Monitoring and Observability
Skills to Invoke
observability-engineer- Observability engineeringgrafana-dashboards- Grafana dashboards
Actions
- Design monitoring strategy
- Set up metrics collection
- Configure log aggregation
- Implement distributed tracing
- Create dashboards
- Set up alerts
Copy-Paste Prompts
Use @observability-engineer to set up observability stackUse @grafana-dashboards to create monitoring dashboardsPhase 5: Cloud Security
Skills to Invoke
secrets-management- Secrets management
Actions
- Assess cloud security
- Configure security groups
- Set up secrets management
- Implement network policies
- Configure encryption
- Set up audit logging
Copy-Paste Prompts
Use @secrets-management to configure secretsPhase 6: Cost Optimization
Skills to Invoke
Actions
- Analyze cloud spending
- Identify optimization opportunities
- Right-size resources
- Implement auto-scaling
- Use reserved instances
- Set up cost alerts
Copy-Paste Prompts
Phase 7: Disaster Recovery
Skills to Invoke
incident-responder- Incident response
Actions
- Design DR strategy
- Set up backups
- Create runbooks
- Test failover
- Document procedures
- Train team
Copy-Paste Prompts
Cloud Provider Workflows
AWS
Skills: aws-serverless, aws-penetration-testing
Services: EC2, Lambda, S3, RDS, ECS, EKSAzure
Skills: azure-functions, azure-ai-projects-py, azure-monitor-opentelemetry-py
Services: Functions, App Service, AKS, Cosmos DBGCP
Skills: gcp-cloud-run
Services: Cloud Run, GKE, Cloud Functions, BigQueryQuality Gates
- Infrastructure provisioned
- CI/CD pipeline working
- Monitoring configured
- Security measures in place
- Cost optimization applied
- DR procedures documented
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

