'uv' 검색 결과

Update Flask-AppBuilder in Apache Airflow’s FAB provider, including pinned versions, dependency locks, and documentation. Check compatibility tests and review copied security code, with asset and database migration updates when the upstream release requires them.

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• Upgrade the FAB provider to a newer Flask-AppBuilder release
• Review upstream authentication fixes against Airflow's copied code
• Resolve compatibility failures after a dependency update

Use when UV unwrapping, placing seams, straightening or packing UVs, setting texel density, laying out UDIMs or mirrored UVs, or baking normal, AO, curvature, ID or displacement maps from a sculpt or high poly onto a low poly or retopo in Blender, including Multires bakes. Also when a bake has black or inverted patches, flat areas, cracks, seams, wavy lines or AO ghosts, bpy.ops.object.bake returns CANCELED, or uv.unwrap silently fails.

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Keil MDK 工程构建工具，用于扫描 .uvprojx/.uvproj/.uvmpw 工程、枚举 Target、执行 build/rebuild/clean 并解析构建日志，返回可供 jlink/openocd 复用的产物路径。 flash 子命令仅作为兼容入口保留。当用户提到 Keil、MDK、uVision、UV4、 Target 枚举、编译、重建、清理、烧录、下载固件、flash 时自动触发，也兼容 /keil 显式调用。 即使用户只是说"编译一下"或"烧录到板子上"，只要上下文涉及嵌入式 Keil 工程就应触发此 skill。

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Production UV unwrapping for seam placement, UV packing, texel density, UDIM, lightmap UVs, and modular UV layouts. Use when preparing meshes for texturing and engine export in Blender via MCP.

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Récupérer les preuves d'un courrier envoyé via l'API Merci Facteur avec getProof — preuve de dépôt, avis de réception signé, preuve de téléchargement d'un recommandé électronique. Utiliser quand il s'agit de récupérer, télécharger, archiver ou afficher un AR, une preuve de dépôt ou un justificatif d'envoi, ou de savoir si un recommandé a été distribué.

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高速Python依存関係管理、仮想環境、モダンなPythonプロジェクトワークフローのためのuvパッケージマネージャーをマスター。Pythonプロジェクトのセットアップ、依存関係の管理、uvによるPython開発ワークフローの最適化時に使用。

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Set up radar sensing for contactless heart rate, breathing rate, presence, and distance measurements. It covers supported hardware, firmware, and combining radar with WiFi CSI, sensing data derived from wireless signals, for shared readings and 3D views.

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• Setting up contactless heart rate and breathing measurements
• Detecting presence and approximate distance in a defined zone
• Combining radar and WiFi CSI readings

Convert text, code, or documents into 384-dimensional vectors, numerical representations used for meaning-based search, similarity comparison, and clustering. Save vectors to files, check their dimensions and magnitude, and optionally record metadata in AgentDB.

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• Preparing document vectors for meaning-based search
• Converting text or code for similarity comparison
• Preparing vectors for clustering related documents

Set up a Python environment inside the project and install its packages. Follow existing environment tools when present, avoid changing the system Python, and provide commands that work from a fresh shell.

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• Set up an environment for a new Python project
• Install packages into an existing project environment
• Resolve an externally-managed-environment installation error

Configure images and videos as surface textures in Three.js, and use environment images for backgrounds and reflections. Adjust placement, color settings, repetition, and filtering, then manage texture memory through compression, reuse, and disposal.

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• Adjust image placement and tiling on 3D surfaces
• Use HDR images for backgrounds and reflections
• Apply video or Canvas content to a 3D surface

Prepare Python SDK releases by updating versions, package metadata, pinned dependencies, lockfiles, and build workflows. The skill covers release process changes and publication verification, helping agents handle packaging work within the repository’s release procedures.

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• Preparing a Python SDK release
• Updating pinned dependency versions
• Changing packaging metadata and build workflows

Checks whether the uv Python package manager is installed and installs it if missing. Ensures uv is on PATH. Use when another skill requires uv as a prerequisite.

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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.

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>Ce skill génère des sujets d'entraînement pour les deux épreuves écrites de consultation du CRFPA : l'épreuve de droit des obligations (tronc commun) et l'épreuve de spécialité (civil, affaires, social, pénal, administratif, international et européen, fiscal). Chaque sujet est accompagné d'une grille de notation détaillée sur 20 points. Vous ciblez un thème précis, ou vous laissez le skill procéder à un tirage au sort couvrant l'ensemble du programme. Connexion aux MCP OpenLegi et GoodLegal requise : toutes les références d'articles et d'arrêts sont vérifiées sur les sources officielles, sans citation inventée

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Recherche académique dans les bases de données de doctrine juridique française, européenne et internationale. Utiliser cette skill lorsque l'utilisateur demande de rechercher des articles de doctrine, des thèses, des ouvrages académiques, ou des travaux universitaires en droit — y compris en droit comparé. Sources principales : ISIDORE (agrégateur SHS du CNRS incluant Cairn.info, Persée, OpenEdition), HAL (archive ouverte française), OpenAlex (base ouverte mondiale 250M+ travaux), Semantic Scholar, CrossRef, Persée (OAI direct), et CORE. Couvre la doctrine juridique francophone ET internationale avec workflow bilingue intégré pour le droit comparé. Déclencher aussi pour : bibliographie commentée, état de l'art, revue de littérature juridique, recherche d'auteur, vérification de citation, analyse bibliométrique.

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Index analytiques sourcés du corpus réglementaire et doctrinal sur la gouvernance des émetteurs cotés français (rapports AMF et HCGE 2020-2025, guide d'application HCGE, rapport sénatorial Rietmann/Gay, Code AFEP-MEDEF, sources légales et européennes). À utiliser pour : (1) retrouver une position, une statistique ou une citation exacte avec sa source et sa page ; (2) analyser l'évolution longitudinale des positions AMF/HCGE/ESMA sur un thème ; (3) appliquer la grille d'analyse en 13 blocs (A-M) à un émetteur. Déclencher pour toute question sur la gouvernance d'une société cotée française : conseil d'administration, indépendance des administrateurs, comités, rémunération des dirigeants, say on pay, say on climate, assemblée générale, droits des actionnaires, plans de succession, mixité, RSE/CSRD, comply-or-explain, name and shame AMF, soft law AFEP-MEDEF, recommandations AMF, positions HCGE.

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Connect to x.ruv.io, read federation channels and claims, or coordinate authorized work across Ruflo hosts with explicit identity and publishing boundaries.

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Choose and validate RuVector or AgentDB memory for an agent application, including provenance, isolation, retention and workload-specific retrieval benchmarks.

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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.

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Use this skill when using UV (Python package manager), needs to set up Python virtual environments, install/manage Python CLI tools, migrate from pip/pipx to UV, Python version management, or troubleshoot UV-related issues.

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Use when working with uv — this skill's uv policy and required overrides to Astral's official guidance. Pair with `astral:uv` (if installed) for general usage.

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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.

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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.

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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.