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Compare evidence from cyber operations to assess which attacker may be responsible. Weigh shared infrastructure, attack methods, malware similarities, timing, and language clues against competing explanations, then report attribution findings with justified confidence levels.

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• Assessing possible attackers during an incident investigation
• Comparing infrastructure and attack methods across campaigns
• Evaluating conflicting evidence against multiple hypotheses

Plan database, service, and infrastructure migrations with phased steps, compatibility checks, and rollback procedures for returning to the previous system. Define risks and validation checkpoints to guide transitions with minimal disruption to business operations.

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• Planning a database schema migration
• Checking API changes for compatibility
• Preparing a phased cloud migration

Plan Azure infrastructure around application needs, scale, and budget. Generate Bicep templates, files that define cloud resources as code, then review estimated costs, configure deployment pipelines, and check security settings before production.

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• Planning Azure infrastructure for a web app
• Choosing services for microservices or event-driven processing
• Generating Bicep templates and deployment pipelines

Design Google Cloud infrastructure around application needs, scale, and budget. Get service recommendations, cost estimates, infrastructure configuration files, and deployment guidance, with support for automated delivery and security configuration reviews.

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• Designing a mobile backend on Cloud Run
• Planning a SaaS architecture on GKE
• Building an event analytics pipeline with BigQuery

Deploy applications and infrastructure on Cloudflare by matching project needs to services such as Workers and Pages. Guides service selection and authentication checks, with references covering storage, AI, networking, security, and infrastructure configuration.

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• Publish a website or application on Cloudflare
• Deploy serverless functions with Workers
• Choose storage for databases and files

Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.

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• Designing a data platform across multiple clouds
• Planning data ingestion and AI serving components
• Preparing infrastructure code and deployment instructions

Prepare and run Google Cloud CLI commands with syntax checks, explicit project and location settings, and focused output. Guides agents through change previews and authorization requirements for destructive operations and sensitive infrastructure changes.

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• Check command syntax and flags before execution
• List cloud resources with only the fields needed
• Review infrastructure changes before running commands

Write and manage infrastructure as code with Terraform and OpenTofu. Design reusable modules, review planned changes before applying them, bring existing resources under management, and organize shared state so teams can track infrastructure across environments.

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• Designing reusable infrastructure modules
• Bringing existing resources under Terraform management
• Separating development, staging, and production state

Helps design and provision Microsoft Azure infrastructure using az CLI and Bicep configuration files. Covers choosing application hosting services, managing identities and secrets, designing networks, setting up monitoring, and organizing resources for cost management.

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• Define repeatable infrastructure with Bicep
• Choose hosting services for web apps and containers
• Design identity permissions and secret storage

Design infrastructure for agents that run in isolated remote environments. Plan faster session startup, saved work states, shared sessions, authentication, and delivery of code changes and other results back to users.

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• Designing infrastructure for background coding agents
• Reducing delays when agent sessions start
• Saving and restoring session work

Review code and infrastructure for vulnerabilities, insecure dependencies, and exposed credentials. Combine automated scans with manual review to produce audit reports that identify affected locations, rate severity, and prioritize practical fixes.

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• Reviewing code for security vulnerabilities
• Checking dependencies and exposed credentials
• Auditing cloud and infrastructure security

Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.

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• Set up application dashboards and alerts
• Investigate production issues using logs, metrics, and traces
• Run load tests before traffic increases

Check a project's Codex infrastructure, fix missing dependencies, script permissions, and configuration errors, then repeat the check until failures are resolved. Receive a summary of repairs and any remaining optional-feature warnings.

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• Check the Codex environment after setup
• Fix dependency and script permission errors
• Repair JSON configuration syntax

Organize authorized phishing exercises from sending infrastructure and email scenarios to landing pages and reporting. Uses GoPhish campaign tracking to review opens, clicks, and submissions while assessing employee awareness and email security controls.

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• Planning an authorized phishing exercise
• Preparing sending infrastructure and landing pages
• Reviewing email, QR code, and callback scenarios

Deploy applications and infrastructure to Cloudflare by choosing services that fit the project. Covers Workers, Pages, storage, and related platform options, with authentication checks and references for configuring and publishing the selected setup.

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• Publishing a web application on Cloudflare
• Deploying serverless functions with Workers
• Choosing storage services for an application

Verify that infrastructure code is connected to the system and actually runs. Trace execution paths, check hook registration and database configuration, and test the full workflow to identify unused code or duplicate implementations before declaring completion.

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• Checking that new infrastructure is actually invoked
• Verifying hook registration and configuration
• Confirming the intended database backend is used

Review Tutti code changes or a named module for structural problems, unclear ownership, dependency direction, and duplicated event infrastructure. A planner scopes the review, supports sub-agent assignments, and helps produce actionable findings ordered by severity.

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• Reviewing the architecture of a current git diff
• Inspecting a named module without current changes
• Checking ownership of event infrastructure

Turn existing logs, measurements, or user reports into a prioritized performance improvement plan. It ranks frontend, backend, database, and infrastructure changes by expected impact and effort, and suggests validation steps for checking whether improvements worked.

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• Prioritizing website loading improvements
• Planning database query optimization
• Organizing API response time improvements

[omh] Infrastructure-as-code change -- Terraform, OpenTofu, Pulumi, a Kubernetes manifest, a Helm chart: read the drift, the blast radius and the cost delta from the saved plan, then stage the apply behind a health gate with a rollback per stage. Use when the user says: iac-change, iac change, infrastructure as code, infrastructure-as-code, terraform plan, terraform apply, terraform state, terraform drift.

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Execute use when provisioning Vertex AI ADK infrastructure with Terraform. Trigger with phrases like "deploy ADK terraform", "agent engine infrastructure", "provision ADK agent", "vertex AI agent terraform", or "code execution sandbox terraform". Provisions Agent Engine runtime, 14-day code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and secure multi-agent infrastructure.

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Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

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OWASP Infrastructure Top 10 knowledge base for identifying, assessing, and remediating internal IT infrastructure security risks.

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Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.

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Audit and reduce infrastructure and tooling costs without sacrificing reliability or velocity. Use this skill when reviewing monthly cloud or SaaS spend, finding unused resources, rightsizing infrastructure, negotiating vendor contracts, deciding what to consolidate, or planning for budget cuts. Triggers on cost optimization, cloud spend, SaaS spend, rightsizing, unused resources, FinOps, infrastructure audit, vendor consolidation, budget cut, cost review. Also triggers when finance flags rising costs or when a contract renewal is up.

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