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Investigate service account misuse by examining unexpected interactive logons, privilege changes, and movement between systems. Correlate endpoint and security logs, distinguish suspicious activity from legitimate operations, and document evidence, risk, and recommended responses.

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• Investigating unexpected interactive logons by service accounts
• Checking service account access outside its assigned scope
• Tracing suspicious movement between systems after hours

Set up and operate Amazon GuardDuty to detect threats in AWS. Configure protection features, centralize findings across accounts, investigate suspicious activity, and build automated responses with EventBridge and Lambda, including containment of potentially compromised resources.

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• Setting up threat detection for AWS accounts
• Investigating credential abuse and compromised instances
• Automating responses to high-severity findings

Build automated responses to AWS GuardDuty security findings using EventBridge and Lambda. Configure severity filters, isolate EC2 instances, disable compromised access keys, preserve disk snapshots for investigation, and send notifications to security teams.

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• Triggering responses to high-severity GuardDuty findings
• Isolating EC2 instances and preserving investigation data
• Disabling compromised IAM access keys

Plan and run authorized security tests that simulate deceptive emails, calls, text messages, and in-person approaches. Measure employee responses, compare results across test methods, and report gaps in security awareness training and access controls.

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• Planning an authorized social engineering assessment
• Measuring responses to simulated phishing
• Evaluating phone and physical access checks

Set up host-based intrusion detection to monitor changes on Windows and Linux endpoints. Configure Wazuh agents, file integrity checks, registry monitoring, alert rules, and automated responses, with guidance on exclusions and centralized security monitoring.

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• Deploying Wazuh agents on Windows and Linux
• Monitoring critical files and registry changes
• Planning change detection for compliance requirements

Choose how an API, the interface software uses to exchange data, should work. Covers REST, GraphQL, and tRPC selection, consistent responses, pagination, versioning, authentication, request limits, documentation, and security review considerations.

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• Choosing between REST, GraphQL, and tRPC
• Standardizing API responses, errors, and pagination
• Planning authentication, request limits, and versioning

Build safety checks for LLM prompts and responses using Meta's LlamaGuard moderation model. Classify potentially harmful content, block flagged messages, serve checks through an API, and integrate them with NeMo Guardrails.

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• Checking prompts before sending them to an LLM
• Filtering responses before displaying them
• Building a moderation API

Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

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• Designing principles for model safety training
• Creating training examples through self-critique and revision
• Planning reinforcement learning with AI-rated responses

Guide language model training with TRL, from learning to follow instructions to matching human preferences. Covers method selection, training data, reward models that score responses, evaluation, and adjustments for memory limits or unstable training.

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• Train a model on instruction and response examples
• Align responses using preferred and rejected answer pairs
• Build a training pipeline using human feedback

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Design tools that AI agents can understand and call correctly. Covers JSON Schema, a format for defining inputs, along with clear descriptions, input examples, validation, and error responses that help agents recover from failures.

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• Designing inputs for an AI agent tool
• Improving tool descriptions and input examples
• Reviewing validation and error responses

Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.

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• Creating Storybook stories for SigNoz pages
• Switching between loading, empty, and error states
• Checking how permissions affect buttons and controls

Process AI model responses through a specified Google Model Armor template before sending them to users. Supply response text directly, pipe output from another command, or provide a JSON request for outbound safety processing.

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• Check model responses before showing them to users
• Pipe model command output into safety processing
• Process response text with a specified template

Plan and coordinate events across Google services. Create calendar entries with locations and attendees, email invitations, upload materials to Drive, share updates in Chat, and record attendance responses and logistical details in Sheets.

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• Creating event schedules and inviting attendees
• Uploading and sharing event materials
• Announcing event updates in Chat

Use Google Model Armor to filter user prompts and model responses for safety. The skill covers creating templates that define checks and discovering command parameters before making API calls through the gws command-line tool.

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• Check user prompts through a Model Armor template
• Check model responses through a Model Armor template
• Create a template for content safety checks

Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.

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• Ask an AI model questions through 9Router
• Generate code from written instructions
• Summarize text with a selected model

Assess incoming leads or rank a lead backlog by customer fit and buying intent. Receive evidence-based priorities, routing recommendations, and suggested first responses, with existing account ownership checked when CRM records are available.

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• Prioritize leads from incoming inquiries
• Rank an uploaded lead backlog
• Check existing account ownership before routing a lead

Support local search work for businesses that visit customers, such as repair and cleaning services. Audit Google Business Profile, draft neighborhood pages, compare business contact details across directories, and prepare structured business data and review replies.

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• Audit Google Business Profile and prioritize fixes
• Draft service pages for individual neighborhoods
• Check business names, addresses, and phone numbers across directories

Creates test starters for React and Next.js applications and analyzes coverage reports to find untested code. Supports unit, integration, and browser-based tests, simulated API responses, reusable test data, and test runner configuration.

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• Generating test starters for React components
• Finding untested code before a release
• Creating browser tests from Next.js routes

Assess the external conditions affecting a business across political, economic, social, technological, legal, and environmental factors. Rank their impact and likelihood, then outline strategic responses, indicators to monitor, and contingency plans for market entry or business planning.

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• Assessing external risks before entering a market
• Reviewing external conditions for strategic planning
• Finding opportunities in regulatory or technology changes

Assess an industry's profit potential through Porter's Five Forces: rivalry, supplier and buyer bargaining power, substitutes, and new entrants. Rate each force, identify the most important pressures, and develop strategic responses and competitive positioning options.

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• Assessing a market before entering it
• Understanding competitive pressures on profitability
• Reviewing dependence on suppliers or major customers

Turn survey responses, interviews, and other research data into three distinct user personas. Each profile explains the outcome users seek, their main difficulties, desired benefits, an unexpected behavioral insight, and how well the product meets their needs.

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• Creating three personas from survey responses
• Grouping interview findings by user goals and behavior
• Comparing user needs to guide product decisions

Reproduce model connection failures and interrupted responses in the desktop app using a local fault server and test providers. Check error messages and retry behavior for refused connections, DNS failures, HTTP errors, stalled requests, and cut streams.

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• Checking error messages for model connection failures
• Testing responses to rate limits and server errors
• Reproducing stalled requests and interrupted replies

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

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• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format