'uv' 검색 결과

Handles batch effects in bulk RNA-seq via design-matrix inclusion (the correct path for DE), ComBat/ComBat-seq for visualization, SVA for unknown latent factors, RUVSeq for negative-control-gene-anchored unwanted variation, and limma::removeBatchEffect for plotting only. Encodes the Nygaard 2016 cardinal sin against testing on a batch-corrected matrix, the choice between SVA/RUVg/RUVs/RUVr, the confounding non-identifiability problem, the single-cell boundary (Harmony/MNN are NOT for bulk), and the Goh 2017 harmonization critique. Use when designing a DE analysis with batch structure, troubleshooting batch-dominated PCA, choosing ComBat vs ComBat-seq, handling unknown batch via SVA, integrating across studies, or deciding when (rarely) to subtract batch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Post-train LLMs with PrimeIntellect's prime-rl (async RL, SFT, distillation, evals). Use this skill whenever the user mentions prime-rl, wants to write an rl.toml or sft.toml, run `uv run rl` / `uv run sft` / `uv run eval` / `uv run inference`, pick GRPO, MaxRL, OPD or ECHO, tune IPO loss, or monitor and resume a run. Also trigger for verifiers environments, Prime Intellect post-training, reverse-text, and pydantic-config TOML overrides.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Handles batch effects in bulk RNA-seq via design-matrix inclusion (the correct path for DE), ComBat/ComBat-seq for visualization, SVA for unknown latent factors, RUVSeq for negative-control-gene-anchored unwanted variation, and limma::removeBatchEffect for plotting only. Encodes the Nygaard 2016 cardinal sin against testing on a batch-corrected matrix, the choice between SVA/RUVg/RUVs/RUVr, the confounding non-identifiability problem, the single-cell boundary (Harmony/MNN are NOT for bulk), and the Goh 2017 harmonization critique. Use when designing a DE analysis with batch structure, troubleshooting batch-dominated PCA, choosing ComBat vs ComBat-seq, handling unknown batch via SVA, integrating across studies, or deciding when (rarely) to subtract batch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Handles batch effects in bulk RNA-seq via design-matrix inclusion (the correct path for DE), ComBat/ComBat-seq for visualization, SVA for unknown latent factors, RUVSeq for negative-control-gene-anchored unwanted variation, and limma::removeBatchEffect for plotting only. Encodes the Nygaard 2016 cardinal sin against testing on a batch-corrected matrix, the choice between SVA/RUVg/RUVs/RUVr, the confounding non-identifiability problem, the single-cell boundary (Harmony/MNN are NOT for bulk), and the Goh 2017 harmonization critique. Use when designing a DE analysis with batch structure, troubleshooting batch-dominated PCA, choosing ComBat vs ComBat-seq, handling unknown batch via SVA, integrating across studies, or deciding when (rarely) to subtract batch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert 3D modeling specialist with deep knowledge of topology, UV mapping, game-ready and film-ready pipelines, DCC tool workflows (Blender, Maya, ZBrush, 3ds Max, Houdini), retopology, LOD systems, and export pipelines. This skill represents years of production experience distilled into actionable guidance. Use when "3d model, 3d modeling, mesh topology, uv unwrap, uv mapping, retopology, retopo, low poly, high poly, subdivision, subdiv, edge flow, edge loops, polygon modeling, box modeling, hard surface, organic modeling, sculpting, zbrush, blender modeling, maya modeling, 3ds max, LOD, level of detail, game ready mesh, film ready, baking normals, high to low, fbx export, gltf export, texel density, 3d, modeling, topology, uv, game-dev, vfx, blender, maya, zbrush, retopology, lod, hard-surface, organic, sculpting" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing version updates and release notes
• Coordinating releases across packages and repositories
• Deploying in stages with monitoring and rollback

Coordinate changes across multiple GitHub repositories with teams of AI agents. Align package versions, synchronize documentation, standardize project structures, and organize integration tests and pull requests for updates that affect several projects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aligning dependency versions across repositories
• Synchronizing shared documentation
• Standardizing repository structures and CI workflows

Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, scan for security issues, and manage releases across repositories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create workflows for automated testing and deployment
• Investigate failed runs and suggest fixes
• Coordinate code reviews and security checks

Build a room-specific sensing model by recording an empty room and occupants performing activities, then training small specialized models. The workflow continues into live monitoring of presence, posture, and breathing in the calibrated room.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a sensing model for a specific room
• Record an empty room and occupant activities
• Monitor presence, posture, and breathing after training

Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sorting and prioritizing incoming GitHub issues
• Splitting large issues among AI agents
• Synchronizing task progress with project boards

Review GitHub pull requests, or proposed code changes, with specialized agents covering security, performance, architecture, and style. Generate actionable comments, apply quality thresholds, and coordinate automated review workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review authentication changes for security issues
• Assess performance impacts of database changes
• Check UI accessibility and coding conventions

Review GitHub issues and pull requests together to find duplicate work, security findings without fixes, and critical bugs without linked changes. Produce action tables and a dated report to support backlog reviews and sprint planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing issues and pull requests before a sprint
• Finding pull requests that duplicate the same work
• Identifying security findings without proposed fixes

Manage credits and billing in Flow Nexus by checking balances and usage history, creating payment links, configuring automatic refills, and changing subscription tiers. Analyze spending patterns to support budget decisions and choose plans suited to usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking credit balances and usage history
• Creating payment links for credit purchases
• Configuring automatic credit refills

Represent dependency trees, taxonomies, and other hierarchies inside a Poincare ball, a geometric model for hierarchical distances. Use tree depth for radius and text embeddings for direction, then measure distances to examine the encoded structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze subtrees in module dependencies
• Examine structural patterns in class hierarchies
• Organize concepts by taxonomic relationships

Convert chat messages into template strings for local model runtimes such as Ollama or llama.cpp. Optionally route queries among a few registered intents using embeddings, numerical representations of meaning, without calling a model.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing prompt strings for Ollama
• Formatting conversations for a local model
• Routing queries among a few intents

Start a named browser session and preserve its initial screen, page structure, and action history. Keep a trace of site exploration and establish a reusable session for later extraction, form filling, or browser testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore a site while preserving an action trace
• Save an initial screenshot and accessible page structure
• Prepare a session for extraction or form filling

Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up AWS documentation search for an AI agent
• Configure an MCP connection for AWS API access
• Check existing AWS MCP settings

Set up and maintain an OpenViking server, from configuration and installation to startup, shutdown, and health checks. Includes troubleshooting through logs and a data cleanup procedure with backups and explicit deletion confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up an OpenViking server
• Checking server health and investigating startup failures
• Resetting stored data after creating a backup

Prepare detailed 3D materials that remain clear in close-up views. The skill guides texture resolution, physically based material maps, surface mapping, filtering, and progressive loading while checking download size and GPU memory use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare wood, stone, and fabric materials for close-up views
• Fix texture seams, grain direction, and normal map orientation
• Preserve floor and foliage detail at oblique or distant views

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write game shaders from cross-engine fundamentals — the vertex→fragment pipeline, coordinate spaces, UV math, and common 2D/3D effects (tint, UV scroll, dissolve, outline, fresnel rim, vignette) in GLSL with HLSL equivalents. Use when the user mentions shaders, fragment/pixel shader, vertex shader, UV, GLSL, HLSL, or effects like dissolve, outline, or rim light.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when turning a dense sculpt, scan, ZBrush export or AI-generated mesh into animation-ready or game-ready topology in Maya without a mouse ("clean up this AI mesh", "retopo this character", Quad Draw, Retopologize), testing it deforms before rigging (bad elbow or wrist bend, lids popping through the eyes), or unwrapping UVs, cutting seams, setting texel density, mip-safe padding, UDIMs, lightmap UVs, stacking mirrored shells, or preparing a low poly and cage for baking. Keywords: edge flow, eye and mouth loops, Unfold3D, bake prep.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Génération de sujets d'entraînement complets pour l'épreuve de NOTE DE SYNTHÈSE (5 heures, coefficient 3) de l'examen d'accès au CRFPA : choix du sujet, dossier documentaire de 16 à 20 documents assemblé à partir de sources réelles vérifiées (textes, jurisprudence, travaux parlementaires, doctrine) avec contrôle du verbatim, puis grille de notation au modèle de la Commission nationale (résumé de chaque document, problématique, thèmes cotés sur 20, plan). Livraison en deux fichiers .docx distincts, le sujet et la grille. Si l'utilisateur n'impose pas de sujet, en chercher un dans l'actualité juridique. Mode aveugle pour l'étudiant qui compose sans rien voir du corrigé. Déclencher dès que l'utilisateur demande un sujet de note de synthèse, un dossier documentaire, une note de synthèse blanche, un entraînement à l'épreuve de 5 heures du CRFPA ou de l'IEJ, ou une grille de note de synthèse. NE PAS déclencher pour les épreuves de 3 heures (sujet-crfpa-toutes-matieres) ni pour la correction de copies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Incorporate moeru-ai/AUV into native desktop app control through its CLI or connected MCP for observation, targeted input, reusable operations, and verification. Use for native app automation, repeated desktop workflows, or explicit AUV requests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.