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Convert a research paper into structured files covering its problem, claims, concepts, experiments, and figure or table evidence. Validate the generated directory, ingest it into OpenViking, and check that the target resource was created.
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Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.
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Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.
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Find and load Copilot Spaces, shared collections of project documents, code, and instructions, to answer team-specific questions or follow reporting workflows. Also create and update spaces, attached resources, and collaborator settings through the GitHub CLI.
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Review Azure infrastructure code and deployed resources against five Well-Architected Framework pillars. Identify configuration drift, classify risks, and produce remediation guidance and an architecture diagram, with GitHub issues created after user approval.
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Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.
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Review AWS infrastructure code and deployed resources against the six Well-Architected pillars. Produce risk-ranked findings, remediation examples, and an architecture diagram, then create GitHub issues for tracking improvements after user confirmation.
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Create shareable links that open specific Arize resources, including traces, datasets, and evaluators. Use IDs from logs or exported data, with suitable time ranges, to direct teammates to the relevant view.
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Guides development of MCP servers that let AI access external actions and data using mcp-use. Covers project setup, tools, reusable prompts, interactive React interfaces, authentication, validation, and deployment through task-specific reference guides.
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Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.
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Set up decoy credentials, storage, and secrets across AWS, Azure, and GCP to detect suspicious access. Connect audit logs to security alerts, verify detection, and document permissions, resource inventories, and maintenance plans.
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Configure SAML identity federation, a way to share authentication between systems, linking on-premises Active Directory with Microsoft Entra ID. Cover single sign-on for cloud applications, user attribute mapping, authentication model choices, and signing certificate management.
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Use Perplexity to find web resources, recent information, or clear explanations drawn from the web. The skill chooses between search results and conversational answers, while directing specialized documentation and workspace questions to other tools.
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Design and generate agents in Nanobot by finding reusable tools, skills, prompts, and existing agent configurations. Guide requirements and confirmation, create focused agent assets, and follow recorded real-data testing and evaluation before publication.
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Guide AI agents through Zoom MCP, a tool connection for searching meeting content and retrieving recordings, related assets, and transcript resources. Covers tool selection, authentication requirements, troubleshooting, and routing Docs or Whiteboard requests to separate services.
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Add a read-only web dashboard for browsing NanoClaw agents, sessions, and other resources. It builds tables from command-line JSON output and includes message activity charts, recent logs, and a viewer for skills, profiles, and CLAUDE.md files.
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Stabilize a test that fails and then passes on the same commit. Apply a minimal fix to timing, randomness, clock behavior, or shared resources while preserving assertions, then verify it through repeated runs.
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Examine a plan by imagining it has failed twelve months later. Identify weak assumptions, linked dependencies, and commitments that are hard to reverse, then outline validation steps and criteria for continuing, changing direction, or stopping.
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Evaluate product ideas before committing development resources. Organize customer needs, rank uncertain assumptions, and plan interviews or prototype tests in a short discovery cycle that ends with evidence for proceeding, changing direction, or stopping.
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Choose Swedish videos and podcasts suited to your approximate language level and learning goals. Build a manageable plan for listening, reading, writing, and speaking, with specific resources and short exercises to practice each skill.
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Generate five marketing ideas for a product and its target audience, with limited budgets and resources in mind. Each idea includes a channel, a core message, an explanation of audience appeal, and reasons it uses resources efficiently.
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Reviews Google Cloud spending and resource usage to identify waste, recommend suitable resource sizes, compare discount options, and establish ongoing cost management using the cost optimization guidance in the Google Cloud Well-Architected Framework.
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Define reliability goals for Google Cloud services and generate Terraform files for Cloud Monitoring SLO alerts. A guided conversation gathers service scope, measurement metrics, targets, and alert conditions, then explains the PromQL queries used to evaluate them.
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Inspect and manage Google Cloud IAM policies that grant roles or explicitly deny permissions. The skill prepares policy changes for user approval, supports organization, folder, project, and supported resource scopes, and verifies the resulting policy after execution.
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