'diagnostics' 검색 결과

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

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

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

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

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

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

Use when writing, reviewing, or refactoring SwiftUI code for iOS or macOS, including state and `@Observable` data flow, view composition, resizable layouts, safe areas, display scale, performance, lists, environment, localization, animation, Liquid Glass, and API migration. Also use for iPhone Duo, foldable, or large-display layouts (`NavigationSplitView` on large displays, iPhone tab sidebar, two-column reflow, foldable grids, `ArrangementView`, `ReservedRegion`), hinge effects, vertical bars, `@State` initialization or synthesized-property diagnostics, `@ContentBuilder` ambiguity, `reorderable` drag/drop, custom `AsyncImage` `URLSession`, swipe actions outside List, item-bound `alert`/`confirmationDialog`, `ToolbarOverflowMenu`, `AnimatableValues`, Document APIs (`Document`/`DocumentReader`), and Instruments `.trace` capture or analysis.

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Recommend NVSHMEM NIC-to-PE mappings and environment exports. Use for HCA selection, multi-NIC configuration, or topology-based mapping diagnostics.

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Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.

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Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via doca_mgmt_raw_cmd with the right scope (CONFIGURATION / DEBUG_READ_ONLY / DEBUG_WRITE / DEBUG_WRITE_FULL). Trigger even when the user does not say "DOCA Management" — typical implicit phrasings include "fleet tool that walks every BlueField and reads device state", "toggle data-direct on a VF", "set an ICM quota per representor", "send a raw firmware command from C", "DOCA_ERROR_IO_FAILED from raw_cmd", or "fwctl ioctl is failing". Refuse and route elsewhere for mlxconfig direct operation, BFB / firmware reflash, streaming telemetry, doca_caps CLI snapshots, or DOCA install itself — those belong to other skills.

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Use this skill when administering, operating, or debugging a GoClaw gateway through the GoClaw CLI/runtime package. It covers CLI discovery, safe command inspection, gateway health/config diagnostics, agents, skills, MCP/tools, runtime packages, credentials, traces, sessions, channels, providers, cron/jobs, and troubleshooting. Always inspect the live `goclaw --help` output first because command availability is version-dependent.

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