'bar' 검색 결과

Prepare and verify native cmux changes with checks suited to the files changed. It covers setup, tagged builds that isolate development sessions, Xcode project normalization, and matching sidebar extensions to their host app.

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• Setting up native cmux development
• Building and verifying a tagged development app
• Checking edits to Xcode project files

Implement and review interfaces that support both right-to-left and left-to-right reading. Apply guidance for CSS layout, mixed-direction text, menus, scrolling, resizing, and Electron title bars, then verify interactions in both directions.

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• Reviewing CSS layouts for right-to-left support
• Displaying mixed-direction text, code, and paths
• Checking menus, scrolling, and resize interactions

Creates charts from numerical data using the chart tool and Chart.js v4. Supports bars, lines, pies, scatter plots, and other formats to show comparisons, trends, proportions, and relationships, with options for dataset colors and mixed charts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing values across categories with a bar chart
• Showing monthly changes with a line chart
• Displaying proportions with a pie or doughnut chart

Create and update Handsontable guide pages with consistent page metadata, headings, framework-specific examples, and sidebar entries. Follow the documentation site's writing conventions and generate JavaScript examples from TypeScript sources where required.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a guide for a new feature
• Updating an existing guide's content and metadata
• Embedding examples for different frameworks

Build sidebars and widgets that receive data updates from their caller. This skill uses a single shared module instance, separate creation and update functions, and stored references to page elements for partial updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a sidebar that updates frequently
• Display data supplied by an external controller
• Update selected page elements without rebuilding the whole widget

Implement and review Liquid Glass interfaces in macOS SwiftUI apps. The skill prioritizes standard layouts and controls, removes backgrounds that obscure system materials, and guides custom glass surfaces, toolbar grouping, search placement, and transitions.

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• Adopting Liquid Glass in an existing macOS app
• Reviewing custom toolbar and sidebar backgrounds
• Implementing custom glass controls and transitions

Add focused runtime logs to a macOS app and verify that expected events appear. Uses Apple’s Logger to trace window, sidebar, menu, and background activity while keeping logs concise and excluding sensitive data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace window opening and closing
• Verify sidebar selection events
• Investigate menu and keyboard commands

Combine data from multiple Excel sheets, clean inconsistent labels and merged cells, and summarize counts by category. Create Excel summary tables with percentages and totals, plus labeled bar charts for comparing categories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing data across multiple Excel sheets
• Cleaning merged cells and inconsistent category labels
• Comparing category counts and percentages

Create an animated HTML scene for a key metric or benchmark using real data. A large number, growing bars, fine grid lines, red accents, and a black data strip give the figures a structured editorial presentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Highlighting a key metric
• Presenting benchmark results
• Creating an editorial data scene

Build a reproducible Stata analysis from data cleaning through modeling, diagnostic checks, and robustness tests. Generate runnable .do files, regression tables, and figures for empirical papers, with additional workflows for epidemiology and machine learning approaches to causal inference.

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• Building a reproducible Stata analysis pipeline
• Comparing regression specifications in a paper table
• Checking causal estimates with robustness tests

Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt + WeightIt + cobalt + ebal + grf + DoubleML + mediation + marginaleffects + modelsummary + kableExtra + gt + ggplot2 + ggpubr + cowplot + binsreg. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step R pipeline an applied economist runs on every paper — (1) data import & cleaning (read_dta/read_csv, naniar, janitor, validate-merges), (2) variable construction (mutate/across/winsorize/group_by + lag/lead with dplyr), (3) descriptive statistics & Table 1 (gtsummary, modelsummary::datasummary, tableone), (4) classical diagnostic tests (shapiro/jarque.bera.test/bptest/dwtest/bgtest/vif/adf.test/kpss.test/Hausman), (5) baseline modeling (fixest::feols, ivreg, did::att_gt, eventstudyr, sun_ab, did_imputation, synthdid, rdrobust, MatchIt, WeightIt, grf::causal_forest, DoubleML, mediation), (6) robustness battery (modelsummary stack, clubSandwich CRSE, fwildclusterboot, ri2, robomit Oster, bacondecomp, HonestDiD), (7) further analysis (interactions + marginaleffects, mediation::mediate, gsem via lavaan, dose-response splines, grf CATE), (8) publication-ready tables & figures (modelsummary, kableExtra, gt, stargazer, texreg, flextable to LaTeX/Word/HTML; ggplot2 + ggpubr + cowplot + binsreg + iplot for figures). **Also covers two parallel domain modes that share the same 8-step scaffolding** — **Mode A — Epidemiology / public health** (target-trial emulation, IPTW + g-formula + TMLE doubly-robust triplet via `WeightIt` / `gfoRmula` / `tmle` / `ltmle`, Mendelian randomization via `MendelianRandomization` / `TwoSampleMR` / `MRPRESSO`, KM / Cox / AFT / RMST survival via `survival` / `survminer` / `flexsurv`, E-value sensitivity via `EValue`, principal stratification — STROBE / TRIPOD reporting), and **Mode B — ML causal inference** (DML via `DoubleML`, S/T/X/R/DR meta-learners via `causalweight` / `grf`, causal forest via `grf::causal_forest`, BART/BCF via `bartCause` / `bcf`, matrix completion via `MCPanel`, CATE distribution + policy tree via `policytree`, off-policy evaluation, conformal causal via `conformalInference` / `cfcausal`, fairness audit via `fairmodels`, DAG learning via `pcalg` / `bnlearn` / LLM-assisted). Use when the user asks for a complete R empirical analysis, wants a tidyverse-style reproducible R script / Quarto workflow, prefers fixest over reghdfe, needs the R counterpart to StatsPAI / 00.1 / 00.2, or names a specific R step in isolation ("feols with cluster", "MatchIt nearest neighbor", "bacondecomp in R", "gtsummary table 1", "modelsummary to Word"). Mode A triggers on "target trial emulation R", "tmle ltmle", "MendelianRandomization", "TwoSampleMR", "MRPRESSO", "survival cox AFT", "STROBE R", "EValue R", "公共健康 R", "流行病学 R". Mode B triggers on "DoubleML R", "grf causal forest", "policytree", "bartCause bcf", "conformal causal R", "fairmodels", "pcalg NOTEARS", "因果机器学习 R".

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Build, refactor, or review macOS menubar apps that use Tuist and SwiftUI. Use when creating or maintaining LSUIElement menubar utilities, defining Tuist targets/manifests, implementing model-client-store-view architecture, adding script-based launch flows, or validating reliable local build/run behavior without Xcode-first workflows.

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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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Detect and diagnose CUDA correctness bugs with NVIDIA Compute Sanitizer. Routes GPU memory errors, shared-memory data races, uninitialized-memory reads, and synchronization/barrier bugs to the right sub-tool (memcheck, racecheck, initcheck, synccheck) and explains how to build, run, and read the report. Use when debugging illegal memory access, out-of-bounds, misaligned access, leaks, WAW/WAR/RAW races, __shared__ hazards, uninitialized reads, garbage results, hangs, divergent __syncthreads/__syncwarp, or cuda::barrier / wgmma issues. Do NOT use for host/CPU-side bugs (use valgrind or AddressSanitizer) or global-memory data races (out of scope). Trigger keywords - compute-sanitizer, memcheck, racecheck, initcheck, synccheck, CUDA memory error, OOB, race condition, uninitialized memory, __syncthreads, barrier, deadlock.

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Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueField NIC over PCIe, or bare-metal on BlueField Arm. Use for launching and supervising it (direct, tmux, systemd), and when it "exits 1 right after launch", "systemd keeps restarting it", reports "no matching device on the BF", or the BlueField itself is unhealthy: "bfb-install exited 0 but DPU is dead", "ping 192.168.100.2 works but ssh fails", "host PFs aren't showing netdevs". Service containers under kubelet belong to doca-container-deployment. Covers PCI/NUMA/CPU/IRQ binding, co-tenant isolation (cgroup-v2/netns/numactl), a seven-layer error taxonomy, platform lifecycle (BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery) and a six-state BlueField lifecycle classifier. Destructive firmware burn / mlxconfig set requires explicit confirmation via doca-hardware-safety; library APIs, env prep, and build use other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[omh] Aiming for design-award quality: score a web surface against published design-award judging axes and name the binding constraint. Use when the user says: award-bar-score, award bar score, award winning, award-winning, award winning website, award-winning website, award winning design, award ready.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement, review, or improve SwiftUI Liquid Glass effects for iOS 26+. Covers glassEffect modifier, GlassEffectContainer, glass button styles, glass toolbar/tab bar, static status badges vs interactive controls, morphing transitions, tinting, interactive glass, ToolbarSpacer, scrollEdgeEffectStyle, backgroundExtensionEffect, and availability gating. Use when asked about Liquid Glass, glass buttons, glassEffect, GlassEffectTransition, glassEffectID, glassEffectUnion, scroll edge effects, or adopting iOS 26 design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement, review, or improve data visualizations using Swift Charts. Use when building bar, line, area, point, pie, donut, or iOS 26 3D charts; when adding chart selection, scrolling, annotations, axes, scales, legends, or foregroundStyle grouping; when plotting functions with BarPlot, LinePlot, AreaPlot, PointPlot, Chart3D, or SurfacePlot; or when creating heat maps, Gantt charts, grouped bars, sparklines, threshold lines, or spatial visualizations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deprecated compatibility entry for Sidebar construction. This component is now maintained in Bricks; install and use component-builder to build a new Sidebar.

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NEB-IRC activation energy pipeline for reaction barriers using GFN2-xTB and pysisyphus. Optimize reactant and product geometries, run CI-NEB path search, optimize the transition state with a Hessian, verify with IRC (one imaginary mode, endpoints matching reactant/product, single NEB maximum), and report the electronic and Gibbs barriers. Use when you need a transition state, reaction barrier, activation energy, minimum energy path, or intrinsic reaction coordinate. Covers reactant/product atom-ordering pitfalls, feasibility sizing for single-core runs, and thermochemistry corrections. Renders an IRC energy-profile plot and an animated TS imaginary-mode HTML viewer. For 2D reaction scheme drawing use rdkit-chemdraw-cdxml.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law. Covers acceptable use policies, legitimate expectation of privacy, proportionality testing, and content vs metadata monitoring. Keywords: email monitoring, Barbulescu, workplace privacy, internet monitoring, acceptable use policy, ECHR, proportionality.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Barcode Lookup integration. Manage data, records, and automate workflows. Use when the user wants to interact with Barcode Lookup data.

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Baremetrics integration. Manage data, records, and automate workflows. Use when the user wants to interact with Baremetrics data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Think and work like an expert Botanist. Use when a task calls for Botanist judgment. Reasons from morphology, floras (FNA/Jepson/eFlora), voucher herbarium specimens (Darwin Core, Index Herbariorum), nomenclature (IPNI/POWO/Madrid Code), APG IV phylogeny, DNA barcoding (rbcL/matK/ITS2), community ecology (vegan adonis2/betadisper, TRY traits), and CITES/ABS ethics; treats vegetative mis-ID, pseudoreplication, PERMDISP confounds, and unvouchered GBIF records as first-class failure modes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.