'logging' 검색 결과

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

Audit and strengthen security for applications running on GKE. Configure pod traffic restrictions, sandbox isolation, namespace security standards, and Secret Manager volume mounts to protect workloads at the application and namespace level.

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• Auditing GKE security settings
• Restricting communication within a namespace
• Isolating risky pods and applying security standards

Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.

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• Configure alerts for agent latency and error rates
• Monitor rapid increases in token usage
• Monitor safety triggers and permission denials

Turn unhandled contacts in a HubSpot list into researched first-contact emails and follow-up drafts. Record the research and messages in HubSpot, prevent duplicate drafting, and prepare a limited batch for human review and sending.

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• Preparing outreach drafts for new leads in a HubSpot list
• Writing first-contact emails and follow-ups using company context
• Recording research and draft history on contact records

Create and improve shell scripts for routine tasks, deployment, and system administration. Covers input checks, error handling, logging, cleanup, and choosing between Bash features and POSIX rules for scripts that work across different systems.

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• Automating routine system administration tasks
• Adding error handling and logs to existing scripts
• Making scripts work across macOS and Linux

Automate website searches, logins, form entry, and price comparisons using Playwright, a browser automation tool. Provides workflows for locating page elements, checking results, and recovering from navigation errors or missing elements.

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• Comparing product prices across online stores
• Filling and submitting web forms
• Logging in and checking the result

Set up KubeSphere’s WizTelemetry Data Pipeline to collect, transform, and route logs, audit data, events, and notifications. Configure delivery to OpenSearch, deploy agents across selected clusters, and check their operating status.

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• Setting up a shared collection pipeline for observability data
• Configuring delivery to OpenSearch
• Deploying agents across multiple clusters

Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.

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• Install or upgrade the extension on selected clusters
• Inspect GatewayProxy status by scope
• Investigate Traefik startup and update failures

Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.

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• Recording and visualizing training metrics
• Comparing experiments with different training settings
• Automatically searching for better training settings

Document how a research or coding session evolved after the work is complete. The skill extracts decisions, experiments, failed approaches, and claims into ara/ files, distinguishing user statements from AI suggestions and actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Record the reasons behind research decisions
• Preserve failed experiments and their lessons
• Distinguish user decisions from AI suggestions

Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.

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• Monitoring training loss and accuracy
• Comparing experiments with different training settings
• Inspecting weight and gradient distributions

Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.

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• Set up application dashboards and alerts
• Investigate production issues using logs, metrics, and traces
• Run load tests before traffic increases

Build Python 3.11+ applications with type annotations, asynchronous operations, and structured error handling. The skill also creates pytest tests and checks code with mypy, black, and ruff to support consistent implementation and validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add type annotations and strict type checking
• Implement asynchronous network or file operations
• Create pytest tests with fixtures and mocks

Track machine learning experiments with Trackio by recording training measurements, viewing live dashboards, and flagging diagnostic events. Retrieve metrics and alerts through command-line queries, with JSON output for automated monitoring and experiment review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording training loss and accuracy
• Flagging loss spikes or stalled training
• Monitoring cloud training through a Space dashboard

Prepare SageMaker deployments and training by finding existing execution roles, checking trust settings, and reviewing required permissions. Guides role creation only when necessary and identifies permission issues that require an AWS administrator.

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• Check execution roles before deploying a SageMaker endpoint
• Find an existing role when no ARN is provided
• Investigate IAM AccessDenied errors

Record dated developments in litigation matters and update the corresponding matter log. Capture status, risk, deadlines, and settlement developments, with proposed history entries and field changes shown for review before saving.

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• Recording hearings, orders, and new deadlines
• Updating risk assessments after new facts emerge
• Logging settlement offers and authority changes

Keep a dated communication log for each legal clinic case, covering calls, emails, meetings, and other contacts. Summarize conversations and action items, review recent history, and flag unanswered messages or missed follow-ups for supervision and handoffs.

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• Recording a client call or email
• Checking what the client was told previously
• Finding unanswered messages and missed follow-ups

Turn rough meeting notes, customer requests, and product ideas into structured backlog entries, a list of possible improvements. Capture who needs each idea and why, categorize it, and update matching entries with new evidence.

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• Capturing feature ideas after a meeting
• Recording requests from customers or sales
• Logging product gaps found in competitor research

Debug PowerPoint generation with python-pptx, a Python library for presentations. Follow a sequence of installation checks, minimal tests, error logging, and fixes for tables and charts, then inspect the generated slides.

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• Diagnosing errors in PowerPoint generation
• Fixing table and chart code
• Saving detailed error logs

Load missing API keys, tokens, and other secrets from Infisical into shell environment variables. Retrieve individual values by environment or folder, or make project secrets available to a single command without logging their contents.

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• Load a missing API key before running a script
• Retrieve secrets from a specific environment or folder
• Provide project secrets to a single command

Build and deploy TypeScript agents on OpenServ that run custom tools, call APIs, or generate content. The skill covers capability definitions, platform registration, local development, task logging, and deployment, including platform-managed AI calls.

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• Build an agent that calls external APIs
• Create a translation or sentiment-analysis agent
• Attach logs and generated files to tasks

Manage wallet login for the local altllm CLI, including requesting a message to sign, verifying signatures from external wallets, checking saved session details, and removing the local session when logging out.

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• Sign in using a wallet signature
• Log in with an external signer such as Privy
• Check the saved user and target URL

Search Threads by keyword or hashtag and collect matching posts with text, authors, timestamps, and engagement counts. Choose relevant or popular results, or newest posts first, using public search results available without logging in.

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• Find posts discussing a specific topic
• Collect posts with a chosen hashtag
• Review engagement on matching posts

Instrument Python or TypeScript agents to record runs for Failproof AI, verify local event files, and troubleshoot missing sessions. The skill also guides building evaluator workers that score completed runs on your own infrastructure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning where an agent should record events
• Adding run logging to an existing agent
• Troubleshooting missing events or sessions