'troubleshooting' 검색 결과

Diagnose GKE TPU slice creation failures and pending JobSets caused by unstable managed instance groups, the underlying VM groups. Read-only checks examine logs, instance status, upgrades, and repairs to identify causes and suggest user-applied fixes.

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• Investigating TPU SliceCreationFailed errors
• Checking whether pending JobSets relate to MIG instability
• Tracing stalled node pool upgrades or repairs

Expose REST APIs as tools for AI agents through Google Cloud API Gateway using MCP, a protocol for connecting agents to tools. Covers OpenAPI migration, authentication, client connections, validation, and troubleshooting.

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• Expose existing REST APIs as agent tools
• Migrate OpenAPI 2.0 specifications for MCP
• Protect tool listings with JWTs or API keys

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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• Reviewing existing allow and deny policies
• Adding or removing role bindings for specific identities
• Creating or updating organization, folder, or project deny policies

Investigate failed workflows and tasks in Managed Service for Apache Airflow. The skill compares remote logs, task states, and source code to explain failures, show supporting evidence, and recommend specific code or configuration fixes.

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• Investigating a failed DAG run
• Diagnosing task timeouts and queue delays
• Checking service errors against DAG code

Diagnose failures in GKE HorizontalPodAutoscaler (HPA), which adjusts Pod counts automatically. Investigate missing metrics, unexpected scaling behavior, and slow reactions, then receive proposed configuration fixes or commands for review before deployment.

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• Investigating unknown metrics and HPA errors
• Diagnosing workloads that will not scale up or down
• Troubleshooting scaling to and from zero

Plans, executes, and validates Google Kubernetes Engine upgrades for Standard and Autopilot clusters. Creates environment-specific upgrade plans, checklists, and command-based runbooks, with guidance on maintenance timing, node upgrade strategies, workload readiness, and stalled upgrades.

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• Planning a GKE version upgrade
• Choosing release channels and maintenance schedules
• Preparing node pool upgrades for databases or GPU workloads

Diagnose interrupted or repeatedly restarting AI training jobs managed by JobSet on GKE. Correlate restart metrics, node events, host health, and worker logs to distinguish Spot VM preemptions, infrastructure failures, and application crashes, then recommend responses.

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• Investigating repeated JobSet restarts
• Checking whether Spot VM preemptions interrupted training
• Tracing recurring failures to a physical host

Inspect GKE TPU Dynamic Slices, diagnose provisioning failures, and validate workload configuration for single slices or JobSet workloads spanning multiple slices. Get cleanup commands, with confirmation required before destructive changes.

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• Checking TPU slice lifecycle states
• Diagnosing TPU slice provisioning failures
• Validating single-slice and multi-slice JobSet manifests

Create or update Kubernetes YAML configuration files for GKE Autopilot and Standard. Translates application requirements into manifests covering container permissions, CPU and memory allocation, health checks, storage, external routing, and GPU resources for AI model serving.

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• Creating GKE application deployment manifests
• Reviewing container security and resource settings
• Configuring external routes with GKE Gateway API

Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.

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• Retrieve execution details for a slow job
• Check compute capacity contention and queue delays
• Review reserved capacity and autoscaling limits

Review BigQuery capacity, table layouts, storage retention, and SQL to improve cost efficiency. Compare billing options, plan partitioned tables, and evaluate search indexes, stored aggregation results, and BI Engine for suitable workloads.

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• Compare On-Demand pricing with Editions
• Review storage billing models and retention periods
• Design table partitioning and clustering

Manages Agent Platform endpoints, the stable URLs used to serve online model predictions. It supports listing, inspecting, creating, updating, and deleting endpoints, plus troubleshooting permission errors, quota limits, and resources that are busy.

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• Listing endpoints and checking their configuration
• Creating an endpoint before model deployment
• Updating endpoint display names or labels

Guide secret synchronization between Infisical and a local encrypted vault, a store for sensitive values such as API keys. Covers authentication, reading and updating secrets, change tracking, and troubleshooting without exposing values in logs.

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• Pulling Infisical secrets into a local encrypted vault
• Creating or updating secrets from local values
• Troubleshooting authentication and permission errors

Configure ArgoCD in KubeSphere DevOps for GitOps, which keeps deployed applications aligned with configuration stored in Git. Covers application management, repository credentials, shared sign-in, multiple clusters, and troubleshooting synchronization problems.

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• Deploy applications from configuration stored in Git
• Create applications through the tenant API
• Configure shared sign-in through Dex

Manage applications in KubeSphere, from Helm and YAML deployment templates to repository synchronization, version review, and publication. The skill also guides inspection of installed applications and troubleshooting of installation or upgrade issues.

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• Adding and synchronizing application repositories
• Reviewing and publishing application template versions
• Checking installed applications

Write, review, and edit developer documentation for SDKs, libraries, and frameworks. Organize guides, API references, and code examples around readers’ tasks, checking technical claims against source code and official documentation while following the destination site’s conventions.

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• Writing a getting-started guide
• Reviewing API documentation and code examples
• Updating migration and troubleshooting guides

Diagnose connection problems with government websites by checking SSL certificates, which verify website identity, and proxy settings. Follow structured troubleshooting steps, record failed attempts, and explore alternative APIs or data sources when access remains blocked.

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• Diagnosing certificate errors on government websites
• Checking whether proxy settings block data access
• Finding alternative sources for inaccessible public data

Use the HyperFrames command-line tool to set up HTML-based video projects, check structure and text overflow, preview compositions, and export video. It also covers audio transcription, text-to-speech generation, and environment troubleshooting.

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• Starting a video project from a template
• Checking text overflow before rendering
• Previewing and exporting MP4 or WebM video

Fetch design structure, screenshots, variables, and assets from Figma through MCP, a connection between the agent and Figma. Use these references to guide code implementation within an existing project and troubleshoot connection setup.

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• Inspecting a specific Figma frame or layer
• Fetching images and SVG assets for implementation
• Adapting a design to existing project components

Troubleshoot Claude Code problems by comparing reported symptoms with configuration scans and a troubleshooting guide. It asks follow-up questions when needed and proposes targeted fixes for permission prompts, tool connections, hooks, installation errors, and performance issues.

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• Investigating repeated permission prompts
• Diagnosing MCP server connection failures
• Checking why settings or hooks are ignored

Coordinate shared files using local team and global input paths. The skill explains project refreshes, task file ownership, and missing-file troubleshooting, while identifying task directory transfers already handled by delegation and result checking.

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• Refresh project files after a restart
• Give workers local paths to task specifications
• Check who writes and reads each task file

Turns a technical topic into a structured tutorial tailored to the reader's experience and environment. It includes prerequisites, setup, verifiable steps, troubleshooting, further learning, and a concise cheatsheet of commands and common fixes.

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• Writing a beginner's guide to Docker or Git
• Creating setup instructions with verification steps
• Documenting deployment or backup procedures

Build React interfaces with coss components using documented imports, properties, and composition patterns. It helps select components, implement forms and overlays, preserve accessibility, and address migration mistakes when moving from shadcn/Radix to coss/Base UI.

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• Building forms and dialogs with coss
• Migrating from shadcn/Radix to coss/Base UI
• Troubleshooting menus, selects, and notifications

Get guidance on using APM, a package manager for AI agents, to install and share reusable instructions, skills, and server configurations. Covers dependencies, package creation, authentication, policy checks, CLI commands, and troubleshooting.

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• Install and restore AI-agent packages
• Configure MCP and LSP servers
• Create and share APM packages