“diagnostics”的搜索结果

Create readable GitHub Actions step summaries that put key results first. Organize headings, format code and review findings, and place lengthy logs or diagnostics in expandable sections for easier scanning.

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• Making workflow results easier to scan
• Placing lengthy logs in expandable sections
• Organizing review findings by severity and action

Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.

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• Investigating a sudden rise in acquisition costs
• Explaining performance declines to clients
• Checking for campaign issues after the weekend

Fit regression and time series models in Python, then examine coefficients, uncertainty, and predictions. Check model assumptions, investigate unusual observations, and compare alternatives using detailed statistical summaries and diagnostic tests.

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• Interpret regression coefficients and confidence intervals
• Model binary outcomes or event counts
• Forecast time series with uncertainty intervals

Operate, diagnose, and test the live All API Hub extension interface on desktop or supported Android browsers. Use logged-in sessions to reproduce bugs, verify account workflows, and check development updates through browser debugging connections.

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• Reproducing extension UI bugs in a logged-in session
• Diagnosing an installed Android release
• Checking extension changes with hot updates

Find your way around Diverga with a guide to its 24 research agents across nine categories. View commands, example requests, direct invocation syntax, and checkpoints where people review research decisions, with recommendations based on research context.

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• Explore Diverga's research agents
• Find commands for setup and diagnostics
• Choose an agent for a research task

Carry out research implementation plans from environment setup through code, tests, and pull requests. The workflow checks estimation convergence, standard errors, diagnostics, and reproducibility while tracking completed tasks in the original plan.

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• Implement an estimation method from a research plan
• Build and verify a research data pipeline
• Run robustness checks and document results

Turn a research task or estimation problem into a saved implementation plan grounded in project code, prior decisions, and relevant methods. Adjust the detail to the task and document dependencies, risks, diagnostics, and acceptance criteria.

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• Planning implementation of a new estimation method
• Planning fixes for convergence or data problems
• Organizing robustness checks and replication steps

Analyze U.S. electoral district plans in R with redistverse. Guides data preparation, simulations under population and geographic constraints, diagnostic checks, and comparisons of district shape, partisan fairness, and administrative splits through maps and summary tables.

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• Preparing census, election, and geographic data
• Simulating district plans under population constraints
• Comparing enacted plans with simulated alternatives

Plan, run, and interpret linear regression with guidance on model choices, diagnostic checks, and reporting. Python, R, and Stata examples help examine coefficients, assess assumptions, and choose standard errors that account for different error patterns.

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• Specify a regression model for an empirical study
• Check residuals and correlations among explanatory variables
• Choose robust or clustered standard errors

Choose and implement machine learning methods for estimating causal effects with many control variables or effects that differ across groups. Guidance covers DML, causal forests, and related methods, including diagnostics and limits on interpretation.

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• Estimating average effects with many control variables
• Studying how treatment effects differ across groups
• Implementing cross-fitting for causal estimation

Plan and implement instrumental variable estimation and propensity score matching, methods for estimating causal effects under different assumptions. Includes Python, R, and Stata examples, diagnostic checks, and guidance on interpreting and reporting results.

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• Choose between instrumental variables and matching
• Implement two-stage least squares estimation
• Check weak instruments and estimation diagnostics

Administer Observal users, settings, submission reviews, identity configuration, and security investigations. Also manage local server upgrades, rollback, and database schema migrations, checking the resulting state and protecting sensitive values throughout privileged operations.

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• Managing users, permissions, and submission reviews
• Configuring SAML sign-in and SCIM user provisioning
• Investigating security events and audit logs

Diagnose Claude Octopus installation and runtime problems across 15 categories, including provider authentication, configuration, hooks, and scheduling. Get a readable or JSON report, investigate specific areas, and review proposed fixes before approving changes.

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• Checking the environment after a plugin update
• Investigating provider authentication problems
• Verifying hooks and scheduled jobs before a demo

Upgrade Expo SDK projects and resolve dependency issues with a structured migration checklist. The skill covers diagnostics, deprecated package replacements, configuration cleanup, native project considerations, and checks for navigation, camera, audio, and video features.

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• Upgrade an Expo SDK project and align dependencies
• Migrate deprecated audio and video packages
• Review obsolete configuration and patches

Review and fix concurrency issues in Swift 6.2+ code, including compiler errors and unsafe shared data. Apply actor isolation, which controls access to state, and separate UI updates from background work while preserving existing behavior.

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• Fixing Swift concurrency compiler errors
• Reviewing shared data for race conditions
• Separating UI updates from heavy background work

Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.

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• Resolving a no LSP server configured error
• Setting up language tools for a new project
• Enabling definition lookup and reference search

Use language servers, tools that understand code structure, to check errors, locate definitions, and find references in Codex. Check whether a symbol can be renamed and apply the rename across the workspace.

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• Checking code errors after edits
• Locating function or variable definitions
• Finding where a symbol is used

Refactor code through a staged process that maps dependencies, assesses test coverage, and plans small changes. Use it to extract functions, simplify code, or restructure modules while checking tests and diagnostics throughout.

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• Extracting validation logic into a separate module
• Renaming a class and updating its references
• Replacing deprecated API usage

Guides statistical analysis in Python, including regression, time series forecasting, and hypothesis tests. Helps interpret estimates and uncertainty, check model assumptions, investigate influential observations, compare models, and produce statistical tables for reporting.

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• Interpreting regression coefficients and confidence intervals
• Forecasting time series with prediction intervals
• Checking model assumptions and influential observations

Build and check statistical models in PyMC while quantifying uncertainty. Supports hierarchical models that represent grouped data, sampling diagnostics, predictive checks, and model comparison, with templates and scripts for predictions and diagnostic reports.

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• Analyzing differences between groups with hierarchical models
• Producing predictions with uncertainty intervals
• Investigating sampling and convergence problems

Write, review, and refactor SwiftUI apps for iOS and macOS. Covers state management, adaptable layouts, accessibility, animations, and API migration, with Instruments recordings to investigate performance problems and prioritize improvements.

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• Review SwiftUI state management
• Adapt layouts to different screen sizes
• Migrate deprecated SwiftUI APIs

Recommends network-port assignments and environment settings for NVSHMEM using the compute node’s actual GPU and network topology. Helps select adapters, evaluate multiple-port options, and identify missing evidence before producing an exact configuration.

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• Choosing network ports closest to each GPU
• Checking multi-NIC options for an NVSHMEM version
• Diagnosing unexpected port selection

Build Python scripts for a single weather forecast with Earth2Studio. Choose a model, compatible input data, and an output format based on the forecast period, region, requested variables, and available GPU memory.

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• Build a script for a five-day weather forecast
• Save only temperature and wind variables
• Choose a weather model that fits available GPU memory

Guide DOCA Management programming for BlueField and ConnectX devices. Set up management contexts, query capabilities, change device settings, and investigate errors, using installed reference samples and checks before and after changes.

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• Querying BlueField device capabilities in a fleet tool
• Changing data-direct settings for a virtual function
• Setting ICM quotas for devices or representors