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Design and operate shared secret storage with HashiCorp Vault or cloud services. The skill guides access policies, automated credential rotation, temporary credentials, audit analysis, and secret delivery to applications and deployment pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Vault or a cloud secret store
• Automating database password and API key rotation
• Auditing access to secrets

Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up GitHub Actions or CircleCI pipelines
• Creating Terraform modules for AWS, GCP, or Azure
• Preparing blue/green or rolling deployments

Review cloud permissions, public storage access, network rules, and infrastructure definitions for security gaps. The skill helps identify risky configurations, rank findings by severity, and suggest narrower permissions, with fuller coverage for AWS than Azure or GCP.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing cloud settings before deployment
• Finding excessive permissions and privilege escalation paths
• Checking public storage and exposed ports

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Manage Microsoft 365 setup, bulk user onboarding and offboarding, licenses, and security reviews. Generate PowerShell scripts and setup plans, with workflows for checking inputs, reviewing changes, and validating results before applying them across an organization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan and configure a new Microsoft 365 environment
• Create user accounts and assign licenses in bulk
• Block departing users and prepare shared mailboxes

Audit environment files and repository contents for possible credential leaks, then prioritize findings by severity. Plan credential replacement, improve configuration examples, and establish checks in development and delivery pipelines to reduce accidental exposure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking configuration files before a commit
• Planning credential replacement after a leak
• Keeping environment examples safe for new contributors

Generate images from text or reference images using multiple image services. Choose aspect ratios, sizes, and quality settings, or generate a collection of images in batches from saved prompt files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create illustrations from text descriptions
• Change scenes using reference images
• Generate images in specific aspect ratios

Develop and test Windows-specific Screenpipe changes on a disposable Azure virtual machine. The workflow verifies native behavior, preserves logs and desktop video, and handles branch and pull request delivery when authorized.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test Windows-specific capture and permission behavior
• Investigate compiler, process, or service issues
• Preserve desktop video and logs for a pull request

Match Google Cloud data residency and access requirements to available data boundary frameworks and cloud controls. Compare ranked recommendations in a table, see requirement gaps, and receive deployment guidance with built-in frameworks prioritized.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding frameworks for data residency requirements
• Comparing framework coverage and major requirement gaps
• Planning deployment for existing or new projects

Design AI agent analytics workflows across distributed tables and documents. Combine Knowledge Catalog for metadata, meaning information about data and its usage rules, with managed Spark processing to produce architecture diagrams, deployment guidance, and validation plans.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design analytics across data stored in multiple clouds
• Define metadata and governance with Knowledge Catalog
• Plan Data Agent Kit use in VS Code or Antigravity

Guides authentication and access permissions for Google Cloud users and applications. It helps choose credentials for local development, production services, or external clouds, with guidance on short-lived credentials and avoiding downloaded service account keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up credentials for local Python development
• Configure Cloud Run access to Cloud SQL
• Connect workloads on AWS or Azure to Google Cloud

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Style materials to match the OpenAI and Codex look using specified colors and fonts. Apply distinct formatting to headings, body text, code, and shapes, with fallback fonts when the preferred ones are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Match material colors to the OpenAI and Codex look
• Apply consistent fonts to headings and body text
• Style code snippets with a monospace font

Sign in to a cloud provider’s command-line tool using a verification URL and one-time code approved on the user’s device. Check installation and account identity, save the login, and run commands within that user’s permissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sign in to a cloud CLI from a separate device
• Check whether required CLIs and helpers are installed
• Verify the cloud account before running commands

Configure machine learning training and batch jobs across multiple clouds with SkyPilot. The skill guides GPU selection, lower-cost cloud and region choices, and automatic recovery when discounted spot instances are interrupted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a lower-cost cloud for GPU training
• Run long training jobs with recovery after interruptions
• Configure distributed training across multiple machines

Implement and troubleshoot large-model training with DeepSpeed across multiple GPUs. The skill covers memory optimization, parallel training, and numerical precision choices, alongside examples for storage transfers and models that divide work among specialized components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review settings for distributed model training
• Tune transfers between NVMe storage and tensors
• Configure training with specialized model components

Configure OAuth, the authorization flow used for provider sign-in, with portless development URLs. It guides callback registration and authentication library settings, helping diagnose rejected domains, redirect URL mismatches, and callbacks that point to the wrong address.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up provider sign-in with portless development URLs
• Diagnosing redirect URL mismatch errors
• Using an owned domain when .localhost is rejected

Set up, configure, update, and troubleshoot persistent memory for OpenClaw agents. The plugin stores conversations locally and supports automatic recall, task summaries, reusable skills derived from successful tasks, and a visual memory manager.

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• Setting up persistent memory for OpenClaw
• Updating or troubleshooting the memory plugin
• Choosing local or external memory search models

Build infrastructure as code with Terraform across AWS, Azure, and GCP. Create reusable modules, manage state records that track resources, configure environments and providers, and validate proposed changes before applying an explicitly approved plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reusable Terraform modules
• Migrating state storage or importing existing resources
• Managing settings across development and production

Create Dockerfiles, automated build and deployment pipelines, Kubernetes configurations, and infrastructure templates. The skill also prepares deployment checks, rollback procedures, and incident response runbooks to support application releases and production operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up automated build and deployment pipelines
• Packaging applications with Docker
• Managing Kubernetes and cloud infrastructure as code

Design cloud architectures and migration plans for AWS, Azure, and GCP. Produce service diagrams, selection rationale, security designs, cost estimates, and recovery strategies, with deployment and rollback plans that account for availability and operational monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a cloud architecture and explain service choices
• Plan a cloud migration and cutover checks
• Review cloud spending and resource sizes

Review AI vendor contracts against your organization's policies. Identify gaps in data training rights, liability, model changes, and other terms, then prepare targeted contract edits and escalation options for issues outside agreed limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an AI vendor's agreement before adoption
• Checking whether inputs may be used for model training
• Comparing contract terms with internal AI policies

Extract text from images and PDFs, including handwriting, tables, invoices, and receipts. Return plain text, Markdown tables, or structured JSON fields, with options to select a recognition provider and specific PDF pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from scanned documents
• Convert table images into Markdown
• Extract invoice and receipt fields as JSON