'adaptation' 검색 결과

Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.

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Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a shared animation foundation for React and Next.js with motion/react. Define reusable timing and spring settings, respect reduced-motion preferences, adapt to device performance, and align initial animation states with server-rendered content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Standardize animation settings across components
• Define reusable spring animation presets
• Respect users' reduced-motion preferences

Build polished web pages with explicit guidance for typography, spacing, colors, layered cards, and restrained animation. The skill provides layout options and mobile adaptation rules, producing React, Tailwind, or HTML code for a consistent visual direction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a calm landing page with refined typography
• Designing an asymmetrical SaaS feature layout
• Building a portfolio with soft shadows and generous spacing

Train a custom LoRA on fal.ai, a model adaptation for personalized image generation. Use it to prepare an image model tailored to a particular brand, character, or visual style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Training a model for brand-specific imagery
• Preparing a custom model for a character
• Training a LoRA for a particular visual style

Create website interfaces with defined typography, spacing, layered cards, and animation rules. The skill guides React, Tailwind, and HTML output, combining asymmetric layouts with mobile adaptations and performance constraints for a consistent visual direction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an asymmetric website layout
• Refining cards, buttons, and navigation
• Adding motion with mobile performance in mind

Capture lessons from completed tasks, train patterns from explicit examples, and consolidate accumulated learning into long-term storage. Use SONA and MicroLoRA adaptation tools for individual domains, then verify results in the appropriate stores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing lessons after a successful task
• Consolidating accumulated task histories
• Creating learning adapters for separate domains

Create and review GSAP code that animates webpage elements and SVG graphics. Covers movement, fades, easing that controls speed changes, staggered effects, playback controls, and adaptations for screen size and reduced-motion preferences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding entrance animations to webpage elements
• Animating multiple items with staggered starts
• Adjusting motion for desktop and mobile screens

Plan and review PufferLib reinforcement learning workflows, where agents learn through rewards. Covers version-specific environment checks, parallel execution, training and evaluation plans, plus checkpoint inspection before loading saved models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose APIs for a specific PufferLib version
• Check environment behavior before training
• Create training and evaluation plans with separate seeds

Turn a broad robotics research direction into ranked ideas with concrete benchmarks and simulation plans. The workflow combines literature review, novelty checks, and external critique while accounting for hardware access, safety, evaluation metrics, and failure cases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore research topics in manipulation or navigation
• Plan simulation studies before using physical robots
• Check novelty and feasibility of robotics ideas

Develop robotics research ideas through literature review, feasibility filtering, novelty checks, and external critique. Get ranked proposals with specific benchmarks, comparison methods, failure metrics, and simulation-first pilot plans matched to available infrastructure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring research topics in manipulation or navigation
• Choosing robotics ideas that fit available infrastructure
• Planning pilot studies with simulation or existing logs

Review communications research by searching existing libraries and notes before academic databases. Produce a paper comparison table covering methods, results, and limitations, then summarize major approaches, evidence strength, and remaining research gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Surveying research on wireless and satellite communications
• Finding related work from saved papers and notes
• Comparing assumptions, methods, and limitations across papers

Create and review GSAP code that animates webpage elements and SVG graphics. Covers movement, fades, easing that controls speed changes, staggered effects, playback controls, and adaptations for screen size and reduced-motion preferences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding entrance animations to webpage elements
• Animating multiple items with staggered starts
• Adjusting motion for desktop and mobile screens

Build and publish a browser demo for a supplied LoRA, a model adaptation for image or video tasks. Tailor the Gradio interface to its inputs and follow the model’s recommended settings on Hugging Face Spaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share a trained LoRA through a browser demo
• Build an interface tailored to image editing or video generation
• Apply recommended trigger words and generation settings

Move an existing mod to a newer game version or another mod loader while preserving its behavior and values. Organize source comparisons, scripted data extraction, tests, visual checks, and handoff documents for a long migration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update an older mod for a newer game version
• Move a mod to a different mod loader
• Compare a port's behavior and assets with the original

Analyze an existing codebase to identify reusable design patterns in components, services, APIs, styling, and refresh scheduling. Produces structured descriptions with representative code, conventions, dependencies, and adaptation notes for reuse or later conversion into skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding the structure of a large codebase
• Extracting reusable component and service designs
• Following an existing project's conventions in a new project

Interpret Culture Index behavioral profiles to understand individual traits, team balance, and possible strain from workplace adaptation. Use PDF or JSON data to inform hiring discussions, management approaches, onboarding plans, and conflict mediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an individual’s behavioral profile
• Assessing team balance and missing roles
• Exploring strain from Survey and Job differences

Create and edit Google Docs while preserving requested structure, formatting, tabs, and tables. Adapt templates using current source information, update links and smart chips, and check that the finished document covers the requested content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a document from a Google Docs template
• Update text and tables while preserving formatting
• Adapt a past project document for new work

Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Creates .NET projects from templates with validated parameters, smart defaults, Central Package Management adaptation, and latest NuGet version resolution. USE FOR: creating new dotnet projects, scaffolding solutions with multiple projects, installing or uninstalling template packages, creating projects that respect Directory.Packages.props (CPM), composing multi-project solutions (API + tests + library), getting latest NuGet package versions in newly created projects. DO NOT USE FOR: finding templates (use template-discovery), producing a detailed side-by-side comparison of templates (use template-comparison), authoring custom templates (use template-authoring), deciding cross-parameter defaults such as which framework to pair with native AOT or whether to keep HTTPS when auth is enabled (use template-smart-defaults), modifying existing projects or adding NuGet packages to existing projects.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

把一本小说改编成短剧大纲五件套：改编说明、人物表、爽点表、分集梗概、资产清单， 产出 outline.json + Markdown + 单页评审报告（KPI 带、关键决策、爽点时间轴、调度矩阵、场景概览、质量门）。 14 道质量门全部由脚本确定性检查（角色分档上限、主场景上限随集数动态、爽点间隔≤3集、每集钩子悬念必填……），不靠模型自觉； 支持体检模式：贴一份现成大纲进来，只跑质量门给诊断。 零依赖、零 API key，用当前会话额度。 Use when asked to 改编大纲、短剧大纲、拆大纲、小说转短剧、adaptation outline。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

English LaTeX academic paper assistant for existing `.tex` projects. Use this skill whenever the user wants to compile, lint, audit, or improve an English LaTeX conference or journal paper such as IEEE, ACM, Springer, NeurIPS, or ICML submissions. Trigger even when the user only mentions one paper issue, such as bibliography errors, grammar cleanup, sentence splitting, logic review, expression polishing, translation, title optimization, figure checks, pseudocode review, algorithm block cleanup, de-AI editing, experiment-section review, table structure validation, three-line table generation, abstract structure diagnosis, or journal adaptation. Also trigger for "proofread my paper", "fix my LaTeX", "prepare for submission", "check my manuscript", "improve my writing", "three-line table", "booktabs", "check abstract", "reformat for another journal", "换投", `algorithm2e`, `algorithmicx`, `algpseudocodex`, `Require/Ensure`, or "Algorithm 1" when the user has a .tex file.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Strip AI writing patterns from text. Checks 24 patterns across 4 categories (structural, lexical, rhetorical, formatting) with academic economics adaptation. This skill should be used on any text that reads too "AI-generated", or as a final pass on drafted sections. Triggers on "humanize", "de-AI", "make it sound natural", or "strip AI patterns".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Typst academic paper assistant for existing `.typ` paper projects in English or Chinese. Use this skill whenever the user wants to compile, audit, or improve a Typst paper, including format checks, bibliography validation for BibTeX or Hayagriva, grammar/sentence/logic review, expression polishing, translation, title optimization, pseudocode review, algorithm block cleanup, de-AI editing, experiment-section review, table structure validation, three-line table generation, abstract structure diagnosis, or journal adaptation. Trigger even when the user only mentions one Typst file, one bibliography issue, one pseudocode block, one section rewrite, "three-line table", "check abstract", or "reformat for another journal". Also trigger when the user mentions ".typ files", "typst compile error", "typst export", "typst bibliography", `algorithm-figure`, `lovelace`, or `algorithmic` even without saying the word "Typst" explicitly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.