'retries' 검색 결과

Help implement automated subscription billing, invoice generation and delivery, and recovery of failed payments. Cover subscription states, renewals, usage-based charges, prorated plan changes, and tax calculations as parts of the billing workflow.

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• Implementing recurring billing for a SaaS product
• Automating invoice generation and delivery
• Designing retries and notices for failed payments

Create and organize Python tests with pytest. Use reusable setup, mock replacements for external services, controlled test time, and coverage reports to check normal behavior, failures, retries, and interactions between application components.

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• Add unit and integration tests to Python code
• Replace external services with mocks in tests
• Check retry behavior and time-dependent logic

Build Apache Airflow workflows for data pipelines and scheduled jobs. The skill guides task dependencies, retries, waiting for conditions, testing, and deployment, with patterns for tasks that can be safely rerun.

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• Building scheduled data pipelines
• Designing task order and dependencies
• Implementing custom tasks and condition checks

Configure Linkerd to manage communication between services on Kubernetes. Covers installation, mutual authentication between services, access policies, gradual traffic shifts to new releases, retries, timeouts, and monitoring commands for inspecting traffic and diagnosing connection issues.

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• Install Linkerd on Kubernetes
• Configure service authentication and access policies
• Shift a portion of traffic to a new release

Add social-emotional learning—practicing emotional awareness, self-management, empathy, and collaboration—to subject lessons in OpenMAIC. It connects these goals to academic concepts through discussion, choices, feedback, retries, and reflection.

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• Adding emotional check-ins to the start of a subject lesson
• Practicing empathy through discussion of different viewpoints
• Building feedback and retry paths into learning activities

Design subject lessons that also teach students how to learn. Add recall practice, explanations in their own words, predictions, and reflection to help learners check their understanding and plan later review while studying the main concepts.

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• Adding recall practice to subject lessons
• Having students explain concepts in their own words
• Designing feedback and retries after mistakes

Integrate Microsoft Graph SDK into .NET, TypeScript/JavaScript, or Python applications to access Microsoft 365 data. Covers authentication, permissions, paginated results, incremental synchronization, change notifications, and retries when requests hit service limits.

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• Building apps that access Microsoft 365 mail and calendars
• Integrating Teams, OneDrive, and SharePoint data
• Synchronizing only data changed since the previous run

Plan backend services and APIs, from service responsibilities and interface definitions to authentication, failure handling, monitoring, and rollout. Produces architecture diagrams, API specifications, and documented tradeoffs based on business and operational requirements.

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• Designing an order management API
• Defining responsibilities across multiple services
• Planning retries and timeouts for external integrations

Build AWS applications with managed services that reduce server administration. Follow patterns for Lambda functions, HTTP APIs, database access, and queued background processing, with guidance on deployment and delays when functions first start.

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• Build HTTP APIs with Lambda and API Gateway
• Read and write application data in DynamoDB
• Process SQS messages with retries and a dead-letter queue

Plan a Zoom meeting bot or recorder, including how it joins meetings, handles live audio, video, and transcripts, and connects backend services for storage, post-processing, and event handling.

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• Designing a bot that joins Zoom meetings
• Planning live audio, video, and transcript processing
• Organizing post-meeting storage and retries

Plan and, after explicit approval, run controlled checks of software behavior. Compare baseline and failure cases, repeat sensitive measurements, and report observed results with execution context, comparison conditions, and the status of temporary evidence files.

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• Investigating a suspected runtime regression
• Checking retries, interruptions, and concurrent operations
• Comparing latency or cost under matched conditions

Develop and review FastGPT data migration tasks for automatic system upgrades. Define safe reruns, resume points, progress reporting, and failure handling, while checking task order and whether upgrades must block application startup.

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• Adding a data migration to an automatic upgrade
• Designing batch processing that resumes after interruption
• Reviewing startup blocking and failure policies

Write integration tests for core error processors by simulating API failures with a mock model. Check retry attempts, changes to conversation messages, and streamed responses, with guidance on test setup and diagnosing empty output.

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• Check retries and message changes after API errors
• Diagnose empty output in streaming tests
• Verify unrelated errors pass through unchanged

Summarize Playwright test results in a Markdown report with failures, timings, and tests that pass only after retries. Use configured reporting destinations and compare earlier reports when historical results are available.

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• Summarizing the latest Playwright test run
• Reviewing failed tests and their error messages
• Sharing results through configured Slack or TestRail connections

Design workflows in which AI agents handle multiple steps or specialist tasks. Choose a suitable structure, generate starter configurations, and define information handoffs, retries, validation checks, and limits on cost and context size.

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• Choosing between one agent and a multi-agent workflow
• Generating a starter configuration for a multi-step pipeline
• Defining information handoffs and error recovery rules

Investigate stalled, retrying, or failed Symphony runs by connecting Linear issue identifiers with Codex sessions. Trace log events in time order, identify the failing stage, and collect evidence for the probable cause.

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• Investigate a stalled run
• Trace repeated retries
• Identify where a Codex session failed

Diagnose iii invocation failures using error codes across Node, Python, Rust, and browser workers. Distinguish permission denials, timeouts, and handler failures, then choose appropriate exception handling and decide whether retrying is suitable.

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• Diagnosing failed function calls by error code
• Deciding whether a timed-out operation should be retried
• Handling permission denials without blind retries

Plan data ingestion and transformation workflows with Apache Airflow, Spark, and dbt. Get guidance on processing changed records, validating data quality, and rerunning failed or historical jobs without creating duplicate results.

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• Designing data ingestion and transformation workflows
• Processing only new or changed records
• Adding data quality checks between processing stages

Run batches of machine learning experiments on remote GPUs over SSH, varying settings and random seeds. The skill schedules jobs, tracks progress, retries GPU memory failures, and cleans up leftover sessions before starting subsequent batches.

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• Run experiments across multiple random seeds
• Test combinations of model settings
• Chain teacher training and student distillation

Take an agreed code change through a GitHub or GitLab pull request, automated checks, independent review, and fixes. Merge only after the latest commit passes all checks and has no unresolved review findings.

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• Turn an agreed code change into a pull request
• Wait for automated checks and investigate failures
• Arrange an independent review and address findings

Handle failed tool calls with a clear recovery process. The skill distinguishes temporary problems from input or setup issues, chooses whether to retry or change approach, and records failures so unsuccessful tasks are not silently lost.

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• Deciding whether to retry a failed tool call
• Correcting inputs after setup or validation errors
• Switching approaches after repeated tool failures

Diagnoses slow Convex features by tracing database reads, live-update subscriptions, competing writes, and function limits. Uses runtime findings or code inspection to guide fixes, checks related functions, and verifies that results remain unchanged.

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• Investigating slow Convex pages or features
• Reducing excessive database reads and live-update costs
• Diagnosing write conflicts and repeated mutation retries

Improve an existing AI agent setup using execution records and user feedback. Identifies recurring problems, turns individual comments into reusable guidance, updates skills and coordination rules, and checks changes while preserving their history.

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• Turning feedback on results into reusable skill guidance
• Investigating repeated agent failures and retries
• Fixing missed skill triggers

Verify Claude Agent SDK build and release scripts without network access. Run command-line workflows in an isolated environment with substitute commands to check version validation, installer handling, and retries without overwriting the developer’s installed Claude binary.

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• Check accepted and rejected CLI version values
• Confirm wheel builds reject invalid version pins early
• Test download failures and retry behavior