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Plan a personal monitoring dashboard using a reference for panels, data sources, APIs, refresh intervals, and development priorities. It covers schedules, messages, news, stocks, finances, and combined views such as a daily briefing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing which dashboard panel to build next
• Checking panel APIs and data structures
• Planning a combined view of schedules, messages, and stocks

Assess web applications and APIs for SQL injection, where input changes database queries. The skill covers finding vulnerable inputs, testing different database systems, automating checks, and documenting findings with remediation suggestions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing web application inputs for SQL injection
• Reviewing GraphQL and WebSocket injection risks
• Combining SQLmap automation with manual verification

Assess Kubernetes security from an existing pod or API access point. Covers permission checks, exposed node services, secrets, host access, and cloud metadata to explain how configuration weaknesses can expand access across a cluster.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review service account permissions and RBAC settings
• Assess host access and secrets exposure from pods
• Trace access paths from a cluster to cloud infrastructure

Assess AWS, Azure, and GCP environments by identifying identities, permissions, and paths to broader access or data exposure. Covers cloud storage, secrets, cross-account trust, and CI/CD, the automated systems used to build and deploy software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an AWS, Azure, or GCP security assessment
• Tracing privilege escalation from current permissions
• Reviewing CI/CD credentials and OIDC trust settings

Guides security testing of Android and iOS apps through file inspection and observation while the app runs. Covers network traffic, stored secrets, external app interfaces, authentication, and backend APIs, with tool examples and a testing checklist.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting APK or IPA files for endpoints and embedded secrets
• Observing app behavior and traffic with Frida
• Reviewing deep links and externally accessible components

Supports authorized security exercises that test data transfer outside a network. Organizes channel choices, compression, encryption, splitting, and receipt verification, alongside the monitoring signals defenders can use to identify different transfer methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing data transfer channels for an authorized exercise
• Planning compression, encryption, and file splitting
• Verifying received files against SHA-256 records

Assess Active Directory security by mapping accounts, permissions, and paths to administrative access. The skill covers credential misuse, certificate service misconfigurations, movement between systems, and hybrid identity environments involving Entra ID.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping paths to administrative access in Active Directory
• Reviewing ADCS certificate service configurations
• Assessing permissions, delegation, and group policies

Assess security weaknesses in CI/CD systems that automate software builds and delivery. Covering GitHub Actions, Jenkins, GitLab CI, and Azure DevOps, the skill examines unsafe inputs, excessive permissions, exposed credentials, and tampered build outputs, alongside detection and defensive controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing workflow inputs and execution triggers
• Assessing pipeline permissions and credential exposure
• Checking build artifact handoffs for tampering risks

Investigate how credentials can be exposed in CI/CD, the systems that build and deploy software. Covers environment variables, logs, credential stores, cloud trust settings, and runner tokens, with methods to assess access scope and defensive controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review secret exposure in build environments
• Search build logs and caches for leaked credentials
• Assess trust settings between pipelines and cloud services

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

Choose charts and diagrams that fit the data and the question readers need to answer. Plan layouts and interactions for large screens and mobile devices, or critique existing visuals for misleading comparisons, unclear labels, and hidden information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a chart for a specific analytical question
• Review an existing chart for misleading presentation
• Plan dashboard layouts for desktop and mobile

Design, review, and implement Gantt charts for project schedules. Assess source data, task dependencies, and resource needs, then define suitable views, editing behavior, rendering tools, accessibility, exports, and tests—or recommend a clearer alternative.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose between a Gantt chart, Kanban board, or timeline
• Map project-management exports into schedule data
• Review dependencies, critical path, and baseline variance

Decide whether geographic data needs a map, then choose suitable background maps, visual forms, and implementation tools. Plan overlapping markers, zoom behavior, and mobile interactions so the map supports the intended analysis or product task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether regional comparisons need a map
• Designing regional maps with meaningful color scales
• Planning overlapping markers and zoom behavior

Check AI watermarks through Google, OpenAI, Microsoft, or Meta verification services. The skill links results to file hashes, identifiers used to verify file integrity, and records separate evidence for each configured account and verification route.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking watermarks through provider verification services
• Comparing Gemini results across configured accounts
• Recording API and browser checks separately

Write and review GitHub Actions workflows for syntax and structural correctness. Check quoting around expressions and special characters, then validate with actionlint, a workflow checker, to catch errors that ordinary YAML parsing can miss.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing new or edited GitHub Actions workflow files
• Checking quotes around expressions containing special characters
• Investigating workflow failures before any jobs start

Prepare .NET projects for Native AOT, compilation before execution, and trimming, which removes unused code. Use build warnings to guide type annotations, reflection changes, and source-generated JSON serialization, then check all target frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a .NET project for Native AOT
• Resolving IL warnings from trimming analysis
• Adding annotations to reflection code

Upgrade an existing .NET 10 project to .NET 11 by updating framework targets and packages, fixing compatibility issues, reviewing runtime behavior changes, and verifying builds, tests, and deployment configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrading a project from net10.0 to net11.0
• Fixing build errors after an SDK upgrade
• Reviewing changes in runtime and EF Core behavior

Move existing .NET 9 projects to .NET 10 by updating project settings and dependencies, fixing build errors, and reviewing behavior changes. Includes CI and Docker updates, followed by builds, tests, and security checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrading an existing .NET 9 project to .NET 10
• Fixing build errors and warnings after an SDK upgrade
• Reviewing ASP.NET Core and EF Core behavior changes

Upgrade MSTest v3 test projects to v4 by updating packages, adapting code to changed APIs, and checking execution behavior. It also helps resolve build errors and problems finding tests in CI after an upgrade.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrading an MSTest v3 project to v4
• Fixing compilation errors after an upgrade
• Updating custom TestMethodAttribute implementations

Create a new ASP.NET Core web app with Blazor. Choose where pages and interactive components run based on application needs, generate the project with appropriate options, configure initial authentication when needed, and verify building and startup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a new Blazor website or web application
• Choose a rendering mode for the required interactivity
• Generate a project with individual account authentication

Set up NuGet publishing from GitHub Actions using OIDC, an identity verification mechanism that provides short-lived tokens. Create or update the publishing workflow and get guidance for configuring the matching policy on nuget.org.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replace a stored NuGet API key with short-lived tokens
• Create a new package publishing workflow
• Check package metadata before setting up publishing

Select technologies for AI and machine learning features in .NET 8+ applications. Get task-specific plans or implementation guidance for structured predictions, text generation, document retrieval, tool-using agents, and running pretrained models locally or in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing libraries for classification or prediction in .NET
• Adding text generation or summarization to an application
• Designing document retrieval with source-backed AI answers

Coordinate independent Squad AI teams across repositories using procedures for questions, review requests, and task delegation. Choose between direct CLI sessions, reading team metadata, and asynchronous requests based on repository access and task needs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Asking another Squad about architecture or past decisions
• Requesting a pull request review across repositories
• Delegating work to another repository's AI team

Plan task handoffs between agents on different machines using Git to share YAML task and result files. This implementation specification describes validation, execution limits, result reporting, and GitHub Issues as an additional route for urgent requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing GPU task handoffs from a laptop to a DevBox
• Standardizing task and result files across machines
• Designing urgent requests through labeled GitHub Issues