Results for “select”

Generate routed vocabulary challenges for kaoyan English. Default is 12 words split 6→6; 27-word 6→9→12 is challenge-only. Script-routed selection, SM-2, 5-layer explanations.

Configures, optimizes, and troubleshoots GKE ComputeClasses for Spot VMs with on-demand fallback, GPU/TPU targeting, machine family selection, and zone colocation.

Discover, select, and run Holoscan Sensor Bridge example applications on a connected devkit over SSH, filtering by platform, board type, and sensors.

Creates a new Jetson target-platform profile YAML by selecting a reference devkit and optional custom carrier, then updates the active target pointer.

Write robust, maintainable end-to-end tests with Playwright using Page Object Model, proper selectors, auto-waiting, and debugging workflows.

Analyzes natural language requests to determine project type, select a tech stack, plan structure, and coordinate specialized agents for building full-stack applications.

Provides statistical process control guidance including control chart selection, capability indices, and out-of-control rules for quality management.

Configures and troubleshoots Salesforce CPQ Guided Selling, covering Quote Process and ProcessInput setup, field mirroring, search types, and Auto Select Product behavior.

Mounts a fetch-native CopilotRuntime on any JS server, wires middleware, selects an AgentRunner, and integrates built-in or external agent frameworks.

Automates GitHub contribution workflows including pull requests, issues, and discussions via the GitHub CLI, with semantic analysis of changes and template selection.

International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.

Select and implement the right Azure compute platform for a workload. Decision tree guides choice based on workload characteristics, scaling needs, and operational maturity. Covers serverless, PaaS, containers, Kubernetes, and IaaS patterns.

Creates an Architecture Decision Record following the Nygard format to document significant technical decisions, their context, and consequences. Use when making technical choices that affect system architecture, technology selection, or development patterns.

Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing. Use when the user requests model training or provides relevant inputs for this workflow.

Cache yfinance sector data permanently to avoid Yahoo Finance rate limits. Trigger when: (1) 401 errors during sector fetching, (2) sector updates take too long, (3) need selective sector refresh.

Recommend model families and validation strategy based on data, constraints, and objective. Use when: (1) choosing algorithms, (2) balancing bias/variance, (3) planning benchmark baselines. NOT for: final legal/compliance sign-off.

Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. Routes cheap tasks to Haiku/GPT-4o-mini and complex tasks to Sonnet/Opus/o1. Use when deciding which model to call, optimizing LLM costs, or building multi-model agent systems. Activate on "which model", "model selection", "route to model", "LLM cost", "model routing", "cheap vs expensive model". NOT for prompt engineering (use prompt-engineer), model fine-tuning, or training custom models.

Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware, with backend selection between vLLM, Transformers, and accelerate.

Guides users through selecting and installing skills and rules from the Everything Claude Code project, verifying paths and optionally optimizing installed files.

Upgrade GitHub Actions to supported runtimes by selecting safe action versions, preserving workflow behavior, and validating post-upgrade execution.

Treats rough ideas as competing organisms on an evolution island, scoring, selecting, crossing, and evolving them through structured rounds to surface the strongest concepts.

Designs, reviews, and troubleshoots Salesforce Flows from an admin perspective, covering flow type selection, bulkification, fault handling, and error diagnosis.

Guides using the lightning-record-picker base component for single-record selection in LWC, covering display-info, matching-info, graph-QL filters, and accessibility.

Designs system architecture, selects technology stack, creates ERDs and sequence diagrams, and records ADRs from BA artifacts, declaring a design freeze gate.

Guide through a structured data analysis workflow: define the question, validate data quality, select the appropriate analytical method, and produce decision-ready findings with caveats.

D3.js data visualization library reference. Covers selections, data binding (enter/update/exit), scales, axes, shape generators (line/area/pie/arc), force layout, treemap, geo maps, transitions, event handlers, zoom, brush, and drag interactions.

Pricing model design, competitive positioning, value metric selection, price testing, and pricing page optimization. Use when the user asks about pricing strategy, pricing models, price testing, value-based pricing, or competitive pricing analysis.

Use this skill when selecting or replacing an ELD provider. Covers the FMCSA Registered ELD list, evaluation criteria, common provider removals from the registered list, and the 60-day transition rule.

Use this skill when referring a driver to SAP after a positive test or refusal. Covers SAP selection, the evaluation/treatment cycle, return-to-duty test, and follow-up testing schedule.

Use when a product needs third-party integrations such as payments, email, analytics, AI providers, storage, or internal services. Trigger on requests to plan integration boundaries, provider selection, failure handling, or sync strategies.

Working type director's reference for selecting, pairing, and shipping typefaces with real taste. Covers a broad, opinionated catalog of typefaces and foundries (libre through commercial), a mood/era/register-driven selection framework that never collapses to one answer, font pairing as logic, fluid type scales, variable-font axes (incl. opsz/GRAD), OpenType features, web-font performance (subsetting, font-display, size-adjust fallback metrics), and licensing literacy (SIL OFL vs commercial EULA, desktop/web/app, trials). Explicitly retires the overused AI-design defaults (Inter, Roboto, Montserrat, Poppins, Fraunces, Geist, Söhne, the Fontshare/ITF starter pack) and names fresher alternatives in every role. Use for font selection, pairing, type scales, web-font optimization, variable fonts, OpenType, and typographic systems. NOT for logo/wordmark design, icon fonts, general CSS, or image-based/raster typography.

Select alternative execution paths when a plan step fails — branch on outcomes instead of blind retry. Load when a structured plan step fails, an unexpected observation arrives, or the user asks what to try next after an error. Also triggers on "try another approach", "route around this failure", "replan on failure", "if X fails try Y", or outcome-based branching during multi-step work. Pairs with structured-planning and debug-and-fix. Does not replace root-cause debugging — adds plan-level path selection.

Humanization Pipeline Orchestrator v3.1 - Multi-pass 4-layer transformation pipeline Orchestrates G5 (Auditor), G6 (Humanizer), F5 (Verifier) in sequential passes Enforces checkpoints between every pass with mandatory AskUserQuestion Supports conservative (L1-2), balanced (L1-3), balanced-fast (L1-3 merged), aggressive (L1-4) modes Rich Checkpoint v2.0: section-level scores, selective humanization, target auto-stop G5+F5 parallel execution, section-selective humanization Triggers: humanize, humanize my draft, humanize manuscript, make natural, remove AI patterns Korean triggers: 휴먼화, 자연스럽게, AI 패턴 제거

Design system architecture, evaluate microservices vs monolith, create architecture diagrams, analyze dependencies, choose databases, and make technical decisions with architecture decision records.

Creates a declarative agent for Microsoft 365 Copilot by integrating an MCP server with authentication, tool selection, and configuration.

Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.