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Audit conflicting search indexing settings across robots.txt, noindex directives, and canonical tags that identify preferred URLs. Identify why pages may be included or excluded unexpectedly, and review changes that align the settings with the intended outcome.

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• Investigating pages that remain in Google's index
• Checking pages unexpectedly excluded from search
• Reviewing robots.txt and noindex conflicts

Check canonical tags that tell search engines the preferred URL for a page. Review rendered HTML and HTTP responses, identify missing or incorrect settings, and help correct duplicate-page signals caused by URL variations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking canonical tags across pages
• Reviewing duplicate URLs caused by parameters or domain variations
• Adding or correcting preferred page URLs

Audit breadcrumb structured data, a machine-readable description of a page’s navigation path. Check that BreadcrumbList matches the visible trail and site hierarchy, then guide JSON-LD changes using the rendered HTML and HTTP response.

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• Check breadcrumb structured data
• Add JSON-LD for visible breadcrumbs
• Review site hierarchy after template changes

Check article pages for structured data, machine-readable details that help search engines understand content. Review required properties, add Article metadata in JSON-LD format, and verify the rendered page and HTTP response for specific implementation gaps.

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• Checking structured data on blog articles
• Adding Article metadata in JSON-LD format
• Finding missing headlines, images, dates, or authors

Audit whether author profiles clearly present relevant experience, qualifications, and professional links. Review rendered pages, metadata, structured data, and HTTP responses to identify specific places where author expertise needs clearer presentation and explain how to verify improvements.

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• Check whether article authors have relevant biographies
• Improve profiles with qualifications and professional links
• Audit author information in rendered HTML and structured data

Review author information in structured data, a machine-readable description of page content. Check names, profile links, and connections to articles or pages, then identify corrections using the rendered HTML and HTTP response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check author data on article pages
• Connect authors to external profiles
• Review author markup in page templates

Publish websites and web apps to AppDeploy and obtain a public URL, including apps with backend APIs, databases, and file storage. The workflow covers templates, deployment, updates, status checks, and reviewing errors through its HTTP API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a website at a public URL
• Deploying an app with a backend
• Updating an already deployed app

Add retries and timeouts to Python service calls, with increasing and randomized waits between attempts. Use examples to distinguish temporary failures from permanent errors, limit retry duration, and record retries in logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding retries to external API calls
• Setting timeouts for network operations
• Handling rate limits and temporary service failures

Design or refactor backend services with clear layers and dependency rules. Using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design, it separates business logic from databases and frameworks and defines interfaces that support testing without external services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing the structure of a new backend service
• Separating business logic from database and HTTP code
• Resolving circular dependencies between layers

Build and troubleshoot MCP servers, which connect AI agents to external tools, for codewhale. Covers local and remote connections, credential configuration, tool validation, and testing both successful requests and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an MCP server for a local tool
• Connecting codewhale to a remote service
• Configuring credentials and connection headers

Build and update Power Automate cloud flows through FlowStudio MCP, a connection that lets an agent use external tools. The skill guides workflow definitions, service connections, deployment, verification, and testing without opening the Power Automate portal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a recurring flow that sends SharePoint updates to Teams
• Add or change actions in an existing flow
• Build a flow triggered by an HTTP request

Deploy Suricata to detect suspicious network traffic or block it inline. Configure protocol inspection, detection rules, and structured EVE JSON logs, then connect logs to analysis platforms and check packet drops and alert quality during operation.

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• Deploying network intrusion monitoring
• Configuring inline blocking of malicious traffic
• Adding custom detection rules and reducing noisy alerts

Find and remove stored content from cognee using its SDK, HTTP API, or CLI. Inspect documents before deletion, choose document or dataset removal, or keep raw files while clearing derived graph relationships and search vectors.

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• Find and delete a specific stored document
• Remove an entire dataset
• Clear derived memory while keeping original files

Make your local gbrain accessible to other devices and cloud agents through MCP, a connection interface for AI tools. Set up Tailscale access, assign limited permissions to each client, configure authentication, and verify connections.

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• Accessing gbrain from another laptop or phone
• Connecting cloud agents to your local gbrain
• Giving each client limited access permissions

Use external APIs and GitHub's gh command through Iron Proxy while keeping real credentials out of the client. The skill guides account setup through the operator console and helps investigate blocked requests using observed errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect an external API account through the operator console
• Use gh with credentials managed by Iron Proxy
• Investigate requests returning 401 or 403 errors

Compare a feature implemented in Qwen Code with Codex or Claude Code under the same scenario. Capture communication and terminal records, inspect tool definitions and outputs, and guide fixes toward matching observable behavior.

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• Checking a reproduced feature against its reference agent
• Comparing tool definitions and required arguments
• Investigating differences in terminal output

Reproduce a Codex or Claude Code feature in Qwen Code or another command-line agent. Capture requests, terminal output, and state changes, then use that evidence to implement focused behavior and add a verification path.

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• Reproduce an existing agent's slash command
• Inspect request formats and tool definitions
• Compare terminal output and saved state

Develop TypeScript services and workflows with Effect v4 by checking its source and existing project examples. Guides data schemas, typed errors, explicit dependencies, and tests that follow the project's established patterns.

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• Implementing services with Effect v4
• Defining data schemas and typed errors
• Organizing dependencies and HTTP handlers

Set up a Windows sandbox in Daytona to test OpenWork with a simulated corporate certificate authority. Check successful and broken HTTPS connections, the desktop app’s use of Windows trust, and certificate handling in runtimes it launches.

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• Reproducing corporate certificate failures on Windows
• Checking OpenWork’s use of trusted Windows certificates
• Comparing valid and broken HTTPS certificate chains

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Add error handling to n8n workflows with connected error outputs, retries, and failure notifications. Return HTTP status codes that explain what went wrong, distinguish invalid requests from service failures, and keep internal error details out of public responses.

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• Investigating workflows that fail without notification
• Returning clear errors from webhook APIs
• Retrying temporary network failures

Configure how GKE applications receive traffic from the internet or internal networks. The skill provides configuration templates for routing, load balancing, certificates, and access protection, and guides diagnosis of failed health checks, dropped requests, and TLS connection problems.

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• Expose a GKE application through Gateway API or Ingress
• Split traffic between application versions during a rollout
• Configure Cloud Armor protection and HTTPS certificates

Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.

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• Adding text generation or structured output to a Go app
• Building a chatbot that retains conversation state
• Connecting model responses to tool calls

Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.

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• Prepare credentials for a first Google Ads API integration
• Build an example that retrieves advertising campaigns
• Choose a client library or direct REST requests