'failure' 검색 결과

Guide HyperFrames video projects from setup and component selection through checks, previews, and rendering. Use command-line tools to inspect timelines, diagnose failures, compare frames, and choose local, batch, or cloud rendering for the finished composition.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up and preview a HyperFrames video project
• Diagnose build or rendering failures
• Render multiple videos from variable data

Turn agent failure records into training examples by locating the first incorrect decision and pairing preferred actions with rejected ones. Assess whether training is appropriate, then check both targeted improvements and preservation of correct behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing the first incorrect decision in an agent failure
• Building preference pairs from failure records
• Choosing between system fixes and model training

Design and review API contract tests, which check agreed request and response behavior. Examine schemas, server output, and client parsing to identify compatibility problems, reproduce failures locally, and report gaps in test coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking client impact before changing an API response
• Investigating client and server disagreements at runtime
• Reproducing compatibility failures with local test data

Test Android app flows defined in XML by performing taps, swipes, and text entry, then checking screen states. Produce a JSON report with step results, commands, and failure reasons, stopping at the first failure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify login flows against an XML test specification
• Test product search and cart navigation
• Investigate UI failures on devices or emulators

Investigate failed Agent QA runs using recorded steps, logs, and saved evidence. Classify each failure, explain confidence and supporting findings, and identify the likely area to fix and the next action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a failed or interrupted Agent QA run
• Reviewing saved evidence and execution logs
• Comparing recurring failures across recent runs

Compare agent, prompt, or tool configuration changes using versioned test cases and explicit outcome checks. Record each attempt, distinguish agent failures from evaluation or infrastructure problems, and report regressions, permission violations, and uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare agent behavior before and after prompt changes
• Reproduce an observed failure with preserved evidence
• Run regression tests after a bounded fix

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

Prepare an evaluation framework before fine-tuning a language model. Build labeled examples, checks for each failure type, and a base-model benchmark, while calibrating model-based judges against human labels to support comparisons after training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an evaluation set from agent traces
• Create separate checks for each failure type
• Calibrate an LLM judge against human labels

Design application and API behavior when operations fail. Choose between exceptions and Result types, which explicitly represent success or failure, and improve retries, error messages, logging, and resource cleanup so failures are easier to handle and investigate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add error handling to a new feature
• Design API behavior for failures
• Improve error messages and logs for production debugging

Add clear runtime reporting to Python, PowerShell, or Node.js batch scripts. Design start messages, progress counts, item failures, and final summaries while preserving existing result output, error handling, and exit codes, then verify visibility during execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add progress reporting to long-running batch scripts
• Report individual failures and final outcome counts
• Keep progress logs separate from machine-readable results

Monitor Power Automate across an organization's tenant using FlowStudio MCP's cached data. Review failure rates, run-health trends, flow and app inventories, and inactive owners to prepare health and compliance reports. Requires FlowStudio for Teams or MCP Pro+.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify flows with high failure rates across the organization
• Review run-health trends over a selected period
• Inventory environments, flows, apps, and connections

Troubleshoot Zoom integration failures across authentication, API requests, event notifications, and SDK behavior. Get likely causes ranked by probability, relevant reference links, targeted fix steps, and a short checklist to verify the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Zoom authentication errors
• Finding why webhook notifications are missing
• Diagnosing SDK initialization or session failures

Plan authentication for a Zoom integration by choosing an app type, selecting an authorization flow, and defining minimum permissions. Work through token storage, renewal, and authentication failures with a clear implementation approach.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an authentication flow for a Zoom integration
• Defining minimum permissions for an app
• Planning token storage and renewal

Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing agent roles for research automation
• Choosing how multiple agents coordinate work
• Generating and validating tool schemas

Investigate failed pull request checks in GitHub Actions using the GitHub CLI. The skill gathers logs, summarizes failures, proposes a repair plan, and applies changes after explicit approval, with a summary of changes and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failed GitHub Actions checks
• Reviewing a repair plan before approving changes
• Summarizing failure logs for a pull request

Monitor an open GitHub pull request over time, respond to review feedback, and address automated check failures. Apply and push fixes, then report whether it appears ready to merge or what still blocks progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring a pull request until it appears ready to merge
• Addressing review feedback as it arrives
• Handling automated check failures during review

Investigate opaque errors in shipped OpenWork builds using local logs and Sentry exception reports. Identify the change that caused the failure, reproduce it on the affected runtime, file a Linear issue, and reply to the original report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unexplained errors in shipped OpenWork builds
• Identifying the PR that introduced a failure
• Reproducing errors on the affected runtime

Reproduce model connection failures and interrupted responses in the desktop app using a local fault server and test providers. Check error messages and retry behavior for refused connections, DNS failures, HTTP errors, stalled requests, and cut streams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking error messages for model connection failures
• Testing responses to rate limits and server errors
• Reproducing stalled requests and interrupted replies

Continuously monitor automatic end-to-end tests on NemoClaw main, group failures by root cause, and coordinate fixes and peer reviews through GitHub. Track ownership and merge readiness while checking whether later runs confirm each repair.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuously monitor automatic test failures on main
• Coordinate repair ownership across maintainers
• Review peer fixes and assess merge readiness

Turn a recorded software failure into a draft bug report with timestamps, reproduction steps, expected and actual behavior, and relevant evidence. Separate visible symptoms from possible causes and remove sensitive details from shareable evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a bug report from recorded activity
• Recovering steps taken before and after a failure
• Comparing expected behavior with observed results

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Diagnose Google Cloud Filestore mount failures by checking client access rules, network firewalls, and audit logs. Distinguish permission errors from connection timeouts, then provide a structured report and remediation commands that require confirmation before execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a Filestore mount that hangs or fails
• Diagnosing access-denied errors from a GKE workload
• Checking client permissions and VPC firewall rules

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Diagnoses storage failures in GKE, Google's managed Kubernetes service, including stuck Pods, disk attachment errors, storage pressure, and missing volume expansion. It provides diagnostic commands and reviewable configuration patches for deployment through GitOps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnose Pods stuck in ContainerCreating
• Investigate slow disks and node storage pressure
• Find why expanded storage is missing inside a container