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Set up the official Google Ads MCP Server, a connector that lets AI assistants retrieve campaign data and reporting metrics through natural language. The guide covers installation, credentials, client configuration, and connection checks.

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• Connecting Claude Code or Cursor to Google Ads
• Configuring API credentials and environment variables
• Testing campaign queries in natural language

Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.

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• Preparing a local environment for the Data Manager API
• Installing client and identifier utility libraries
• Configuring local credentials and access scopes

Diagnose failed model requests from OpenShell sandboxes to hosted APIs or local servers such as Ollama and vLLM. Check provider attachment, access rules, credentials, network layout, and client settings to identify the narrowest configuration change needed.

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• Diagnose failed requests to hosted model APIs
• Troubleshoot connections to Ollama or LM Studio
• Investigate credential and endpoint mismatch errors

Check whether a CARLA feature is usable in the current environment and has a verified procedure. Review known failures, inspect build settings, and identify differences between client, server, and source versions before planning work.

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• Check whether a CARLA feature has a verified procedure
• Review known failures before following a UE4 tutorial
• Inspect build flags for ROS 2 or RSS support

Build MCP servers and clients that connect AI systems to external tools and data. The skill defines validated inputs, implements tool and resource handlers, configures communication methods, and checks protocol behavior with the MCP Inspector.

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• Expose external tools and data to AI systems through MCP
• Start an MCP project in TypeScript or Python
• Validate inputs and investigate protocol errors

Draft client proposals and statements of work, documents defining a project's scope, from briefs or discovery notes. It organizes deliverables, exclusions, timelines, pricing, and next steps, clearly flagging missing details for confirmation.

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• Draft a client proposal from discovery notes
• Define deliverables and work outside the scope
• Organize a project timeline and pricing structure

Assess a website’s readiness for AI search alongside traditional SEO. Review content citation readiness, crawler access, brand mentions, technical foundations, and structured data, then generate scores, prioritized recommendations, and client reports.

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• Audit a website’s readiness for AI search
• Assess a page’s suitability for AI citation
• Check AI crawler access and generate llms.txt

Create client or executive advertising reports from a validated Claude Ads data bundle. Export Markdown, HTML, or PDF while preserving findings, evidence, uncertainties, assigned actions, and measurement periods across formats.

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• Preparing client advertising reports
• Summarizing audit results for executives
• Exporting existing audit and plan results as PDF

Keep privacy legal matters organized in separate workspaces for each client or engagement. Record key facts, view matter status, change the active workspace, archive completed matters, or work from practice-wide context without selecting a matter.

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• Register a new privacy legal matter
• Review matter status and change active work
• Archive completed matters without deleting records

Keep legal client and matter information in separate workspaces. Create and list matters, switch the active context, or archive completed work while retaining its files, with cross-matter reading controlled by configuration and explicit requests.

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• Separating information for multiple legal clients
• Creating a workspace for a new matter
• Listing matters and switching the active context

Manage separate workspaces for legal clients and matters. Create matter records, list and switch active matters, or archive completed work while preserving notes and history, with settings that control access across matters.

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• Create a workspace for a new client matter
• Switch the active matter before starting work
• Archive completed matters while preserving records

Organize legal work into separate matter folders for different clients or engagements. Create matter profiles, list and switch active matters, archive completed work, or return to practice-level context while keeping matter-specific facts and instructions separate.

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• Creating a workspace for a new client engagement
• Switching context between contract matters
• Listing active and archived matters

Evaluate older Wi-Fi clients and embedded devices for KRACK and FragAttacks vulnerabilities. Covers test suites, likely patch status, practical impact, and reporting findings by device, firmware version, and vulnerability identifier.

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• Assessing older Wi-Fi clients
• Reviewing IoT firmware patch status
• Distinguishing KRACK and FragAttacks impacts

Build Solana apps with guidance for wallet connections, on-chain programs, testing, and deployment. Also covers balance and transaction lookups, troubleshooting, and migrating older code, with review steps before signing or sending transactions.

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• Building a Solana app with wallet connections
• Testing Anchor programs locally
• Looking up wallet balances and transactions

Build servers and clients for A2A, an open protocol that lets AI agents communicate across frameworks. Publish agent capabilities, exchange tasks and results, stream progress, and add notifications for workflows involving multiple agents.

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• Connect agents built with different frameworks
• Publish agent capabilities through an Agent Card
• Build a research, writing, and review workflow

Integrate HTTP 402 payment requests into TypeScript applications using mppx. Add automatic client payments, payment-protected server routes, Tempo stablecoin charges or metered sessions, Stripe card payments, and paid MCP tool calls.

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• Handle HTTP 402 payments automatically in a client
• Require payment before serving an API response
• Add metered payments with Tempo

Build workflows on OpenServ where multiple AI agents share tasks and pass results between steps. Examples cover research, writing, and image creation, with guidance on finding agents, setting dependencies, and connecting sequential or parallel work.

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• Connect research and writing agents
• Build a research-to-image content pipeline
• Combine results from parallel tasks

Investigate browser-side security flaws in DOM handling, cross-window messages, Service Workers, and CSS. Trace untrusted input to sensitive operations and verify observable impact, helping distinguish reproducible vulnerabilities from harmless signals.

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• Investigating browser-side script injection
• Reviewing origin checks in cross-window messages
• Verifying data leaks through injected CSS

Review and structure Rust backend changes using hexagonal architecture, which separates business rules from external interfaces. Check dependency direction, place authorization policy in domain services, and keep database operations and external clients behind defined interfaces.

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• Reviewing layer boundaries before Rust backend changes
• Moving permission decisions into domain services
• Separating database and external client implementations

Analyze traffic from Android apps, browser JavaScript, and desktop clients to prepare requests for replay in Burp. Investigate signatures, encryption, and session dependencies when they block replay, and retain working request samples with supporting observations.

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• Capture Android app traffic during real user flows
• Investigate browser request signatures and tokens
• Analyze desktop client signing logic

Convert existing PyTorch training code into an NVFLARE federated learning job, where sites train with their own data. Adapt training and evaluation, exchange model updates through the Client API, validate locally, and export the job.

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• Convert a manual PyTorch training loop to federated learning
• Adapt existing evaluation code for federated rounds
• Validate and export a FedAvg training job

Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: "Microsoft 365 Agents SDK", "@microsoft/agents-hosting", "AgentApplication", "startServer", "streamingResponse", "Copilot Studio client", "@microsoft/agents-copilotstudio-client".

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Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle. Triggers: "blob storage", "BlobServiceClient", "ContainerClient", "BlobClient", "upload blob", "download blob".

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Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage. Triggers: "key vault", "SecretClient", "KeyClient", "CertificateClient", "secrets", "encryption keys".

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