'dynamic' 검색 결과

Analyze the dynamics of diffusion processes using stochastic differential equations, Fokker-Planck equations, first-passage time distributions, and parameter sensitivity analysis. Use when deriving probability density evolution for a continuous-time diffusion process, computing mean first-passage times for bounded diffusion, analyzing how drift and diffusion parameters affect process behavior, or validating closed-form solutions against stochastic simulation.

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"Implement dynamic pricing strategies that adjust prices in real-time based on demand, time, and competition. Use this skill when the user needs to build a dynamic pricing system, implement surge pricing, or optimize prices for perishable inventory — even if they say 'real-time pricing', 'surge pricing', or 'demand-based price adjustment'.".

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Runs a sample in an instrumented sandbox to observe behavior: process tree, file and registry changes, network activity, and persistence, then summarizes the behavioral report into capabilities and IOCs. Activates for requests to detonate a sample, do dynamic or behavioral analysis, or interpret sandbox output.

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Use when learning, designing, or explaining Salesforce Reports and Dashboards from first principles — report types, custom report types, groupings, bucket fields, summary formulas, charts, dashboard components, dynamic dashboards, report subscriptions, and folder permissions. Triggers: 'how do I build a report', 'what report type should I use', 'set up a dashboard', 'joined report limits', 'bucket field vs formula', 'dynamic dashboard running user'. NOT for CRM Analytics (use crm-analytics-* skills). NOT for Einstein Discovery predictive analytics. NOT for troubleshooting missing report data caused by sharing model issues (use admin/reports-and-dashboards for that).

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Modifies DAG structure during execution in response to failures, new requirements, or runtime discoveries. Supports node insertion, removal, and dependency rewiring. Activate on 'replan dag', 'modify workflow', 'add node', 'remove node', 'dynamic modification'. NOT for initial DAG building (use dag-graph-builder) or scheduling (use dag-task-scheduler).

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Estimates time-scaled phylogenies, molecular-clock rates, effective reproduction number R_e, and population dynamics from dated pathogen genomes using TreeTime (maximum-likelihood) and BEAST2 (Bayesian; strict/relaxed clocks; coalescent, Bayesian-Skyline, Skygrid, Birth-Death-Skyline, and sampled-ancestor priors; structured coalescent via MASCOT). Covers root-to-tip clock QC via TempEst, date-randomisation tests, recombination masking via Gubbins/ClonalFrameML before clock inference for recombining bacteria, BDSKY origin-vs-rootHeight pitfalls, sampling-bias correction, multi-chain convergence diagnostics, and reconciling phylodynamic R_e with case-based R_t. Use when dating outbreak origins, estimating substitution rates, inferring R_e through time, building time-calibrated Nextstrain Augur trees, choosing between strict and relaxed clocks, fitting Birth-Death-Skyline models, diagnosing temporal-signal failure, running MASCOT for structured-population analyses, or using UShER for pandemic-scale placement.

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Expert-level dynamics covering kinematics and kinetics of particles and rigid bodies, Newton-Euler equations, energy methods, impulse-momentum, and vibrations.

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Expert-level aerodynamics covering subsonic and supersonic flow, lift and drag, airfoil theory, boundary layers, compressible flow, and CFD methods.

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Synthesize WooCommerce coupons at runtime without creating shop_coupon posts in the DB — via the woocommerce_get_shop_coupon_data filter, the hidden-but-powerful virtual-coupon mechanism. Filter fires inside WC_Coupon::__construct, and a non-false return becomes a fully functional coupon read through read_manual_coupon. Plus custom discount types via woocommerce_coupon_discount_types and woocommerce_coupon_get_discount_amount, and the validation triple woocommerce_coupon_is_valid / _is_valid_for_cart / _is_valid_for_product. Use when implementing rule-driven coupons (auto-apply X% to logged-in users, code-pattern detection like LOYALTY-42, external CRM integration that hands out codes), without populating wp_posts. The AI-deficient pattern; most LLMs don't know dynamic coupons exist. Triggers on woocommerce_get_shop_coupon_data, woocommerce_coupon_discount_types, woocommerce_coupon_get_discount_amount, read_manual_coupon, virtual coupon, dynamic coupon in WC context.

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Bootstrap a new Gradle module in any Kotlin Android project. Walks the user through choosing one of three module types — library module (`com.android.library`), feature module (regular Android library that hosts a feature/UI, install-time only), or dynamic feature module (`com.android.dynamic-feature`, on-demand/conditional/instant delivery). Use whenever the user wants to add a module, modularize code, extract a util/data/ui layer, create a new feature, set up Play Feature Delivery, or asks "should this be a library or feature module?". Discovers the project's existing conventions (plugin aliases, namespaces, sibling modules, version catalog) instead of hardcoding any. Pushes back on bad combos (e.g. utility code in a dynamic feature). Stops at scaffolding; app-level wiring is out of scope.

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Implement, review, or improve Live Activities and Dynamic Island experiences in iOS apps using ActivityKit. Use when building real-time updating widgets for the Lock Screen and Dynamic Island — delivery tracking, sports scores, ride-sharing status, workout timers, media playback, or any time-sensitive information that updates in real time. Also use when working with ActivityKit, ActivityAttributes, Activity lifecycle (request/update/end), Dynamic Island layouts (compact/minimal/expanded), push-to-update Live Activities, or Lock Screen live widgets.

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Sparse Identification of Nonlinear Dynamics (SINDy) — discover governing equations from time-series data. Builds sparse dynamical system models dx/dt = f(x) from measurements using PySINDy. Use when you have trajectory data and want to find the underlying ODE.

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Analyze nonlinear dynamical systems — phase portraits, fixed points, stability analysis, bifurcation diagrams, Poincare sections, Lyapunov exponents, and chaos detection. Use for any autonomous or non-autonomous ODE system where qualitative behavior matters.

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Computational fluid dynamics — Navier-Stokes solvers, lid-driven cavity, channel flow, vortex methods, turbulence statistics, drag/lift computation. Spectral and finite-difference methods for incompressible and compressible flows.

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Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

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Complete workflow for dynamic analysis. Use when user mentions impact, crash, drop test, transient, or time-varying response. Handles explicit and implicit dynamics.

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MyBatis를 사용하는 Java 데이터 저장·조회 코드를 설계하고 검토합니다. 결과 매핑, 동적 SQL과 입력 안전성, 트랜잭션, 페이지 나누기와 검색 성능을 다룹니다.

• 매퍼와 XML의 대응 관계 설계
• 동적 SQL과 입력값 안전성 확인
• 여러 갱신을 묶는 트랜잭션 검토

반복되는 에이전트 작업에 전용 실행 절차를 설계하고 합격 여부 확인, 진행 기록, 인계를 정리합니다. 여러 팀이나 프로젝트가 쓸 절차를 공유 스킬로 정리하도록 돕습니다.

• 반복 작업의 실행 절차 설계
• 작업의 합격 여부 확인 추가
• 반복 절차를 공유 스킬로 정리

피드, 프로필, 결제 등 여섯 가지 화면 구성을 활용해 iPhone 15 Pro 기기 프레임 안에 들어가는 단일 앱 화면을 HTML 목업으로 만듭니다.

• 피드나 메시지 목록을 시안으로 만듭니다
• 프로필과 상품 상세 구성을 검토합니다
• 결제 화면과 환영 화면을 제시합니다

대화와 성과에 따라 행동을 조정하는 에이전트를 만들고 학습 현황, 효율, 정확도를 확인합니다. 피드백에 따른 조정과 에이전트 간 지식 공유도 수행합니다.

• 학습 설정을 갖춘 에이전트 생성
• 학습 진행 상황과 효율·정확도 확인
• 피드백에 따른 행동 조정

Find optional features that slow the first page load and defer their code until a user interacts. Use dynamic imports, which load code on demand, and add immediate loading feedback while preserving the initial page experience.

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• Loading a map only when its panel opens
• Deferring an editor until a user activates it
• Reviewing chat widgets that slow initial loading

Audit page links to find missing, empty, or unusable href values and navigation handled only by JavaScript. Guide fixes using real URLs and appropriate HTML elements so search engines can discover linked pages.

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• Auditing navigation links in JavaScript-heavy pages
• Checking href values in dynamically generated links
• Separating navigation links from action buttons

Review styles written directly in HTML or embedded style blocks, and move suitable rules into external stylesheets. Check layouts across screen sizes and interaction states while preserving justified exceptions for critical styles and dynamic values.

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• Reviewing styles written directly in HTML
• Moving embedded styles into external stylesheets
• Checking exceptions for critical CSS and dynamic values

Review large JavaScript bundles to find code that can load later. Suggest dynamic imports, which load modules when needed, and page-level splitting, with loading states for heavy libraries and features outside the initial view.

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• Finding ways to split large JavaScript bundles
• Delaying chart libraries and rich text editors
• Reviewing code loaded for each page