“processing”的搜索结果

Expert-level signal processing covering Fourier analysis, sampling theory, digital filters, FFT, spectral estimation, and adaptive filtering.

中文简介正在准备中。当前显示原文说明。

Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.

中文简介正在准备中。当前显示原文说明。

Reads a project or processing description and returns a DRAFT data protection impact assessment pack: processing description, necessity and proportionality questions, a risk table with blank rating cells, mitigations to consider and open questions. Never rates risk, determines the lawful basis or judges adequacy; the DPO assesses and signs. Works from descriptions, never personal data. Use when the user asks to "start a DPIA for the new monitoring tool", "draft a data protection impact assessment", "scaffold a DPIA from this processing description" or "what would the DPO need for a DPIA on this". Do not use for redacting or de-identifying a document, use document-deidentification-pass instead; do not use for working out what data an incident exposed, use data-incident-impact-brief instead. Drafts for human review; never approves, authorises or signs off.

中文简介正在准备中。当前显示原文说明。

End-to-end media pipeline automation — from AI generation through optimization to social publishing. Covers workflow design, WordPress integration, Redis job queuing, batch processing, multi-site pipelines, and orchestration. MCP bridge tools are the primary interface for individual operations; the Design Stack media worker handles batch and advanced processing. Use when you need to automate image generation→optimization→publishing chains, set up cross-site media sync, design batch processing pipelines, or orchestrate multi-step media workflows triggered by post publish or cron.

中文简介正在准备中。当前显示原文说明。

Schedule and execute background work on iOS using BGTaskScheduler. Use when registering BGAppRefreshTask for short background fetches, BGProcessingTask for long-running maintenance, BGContinuedProcessingTask (iOS 26+) for foreground-started work that continues in background, background URLSession downloads, or background push notifications. Covers Info.plist configuration, expiration handling, task completion, and debugging with simulated launches.

中文简介正在准备中。当前显示原文说明。

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.

中文简介正在准备中。当前显示原文说明。

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.

中文简介正在准备中。当前显示原文说明。

Designs QC, corrects signal drift, removes batch effects, filters features, normalizes samples, and imputes missing values for untargeted LC-MS/GC-MS metabolomics, framing each step as a measurement model that can create or erase biological signal. Use when processing a peak/feature table before statistical analysis, choosing a drift-correction or sample-normalization method, deciding QC RSD vs D-ratio filtering, or handling left-censored missing values. The feature table is produced by metabolomics/xcms-preprocessing or metabolomics/msdial-preprocessing; transformation/scaling for modeling defers to metabolomics/statistical-analysis; cross-study design issues link to experimental-design/batch-design.

中文简介正在准备中。当前显示原文说明。

Build batch processing systems for AI workloads. TRIGGERS - Use when user needs help with ai-batch-processing related tasks.

中文简介正在准备中。当前显示原文说明。

帮助在Django中用Celery将邮件发送、PDF生成等工作转为后台任务，并设计定期运行、失败重试、任务串联、并行执行、监控与测试。

• 在后台发送邮件和生成PDF
• 定期更新库存和发送通知
• 设计重试并防止重复更新

帮助在NVIDIA GPU上加速大语言模型的响应生成，并通过API提供服务。支持量化、批量处理和多GPU分布运行，以调整显存占用与服务性能。

• 通过聊天API提供语言模型服务
• 批量处理大量提示词
• 通过量化减少显存占用

使用云端GPU运行机器学习训练、推理和数据处理，并将模型发布为API。通过Python定义运行环境，还可配置自动扩缩容、存储、并行处理和定时任务。

• 无需管理GPU服务器即可训练模型
• 将模型发布为自动扩缩容的API
• 并行处理大量数据

支持整理、共享和搜索Box中的文件，并通过Box AI总结文档、回答问题及提取信息。还可保存元数据、批量处理文件，以及开发与Box连接的应用。

• 整理并共享Box中的团队资料
• 总结文档并回答相关问题
• 提取并保存文档元数据

使用Three.js制作浏览器中的三维元素与可交互体验，涵盖场景构建、材质外观、交互控制和渲染后视觉效果，支持从显示到操作与外观调整的制作工作。

• 为网页制作三维元素
• 制作浏览器交互式三维体验
• 调整材质外观与操作方式

分析应用和分布式系统的CPU、内存等资源使用情况，查找处理瓶颈，协助改进资源分配、负载均衡、缓存及算法，并比较调整前后的性能。

• 排查应用运行缓慢的原因
• 调整CPU和内存资源分配
• 改善节点之间的负载分配

在求解大规模线性方程组前，分析矩阵结构与数值稳定性，建议预处理和计算方法，并支持估算部分解、检查收敛情况及计算性能。

• 求解前检查矩阵性质
• 考虑提高数值稳定性的预处理
• 不求完整解而估算部分数值

收集任务中已记录的执行区间，以树状结构整理智能体之间的处理流程，帮助查看耗时、等待时间、错误及可能拖慢任务的环节。

• 调查任务缓慢的原因
• 检查智能体之间的协作
• 定位执行记录中的错误

根据AI智能体的使用记录，按模型、智能体和处理层级汇总令牌用量及美元费用，查看指定期间的预算使用率、剩余额度和预警。

• 查看今天的AI使用费用
• 比较各模型和智能体的费用
• 检查预算使用率与预警

在将用户投稿或API接收的文本交给模型之前进行检查，使用AIDefence识别企图劫持指令、窃取信息等威胁，并查看威胁分类及判定置信度。

• 在模型处理前检查用户投稿
• 检查API和Webhook接收内容
• 检查工具输出中隐藏的指令

Review TypeScript settings and indexed access to arrays and objects to find values that may be undefined. Enable compiler checks and update unsafe code so potential failures become visible before the code runs.

中文简介正在准备中。当前显示英语简介。

• Audit TypeScript safety settings
• Review array access in data processing
• Investigate unexpected undefined errors

Add glow, depth-based blur, color correction, and other finishing effects to Three.js scenes. Covers combining effects with EffectComposer, writing custom shaders for screen effects, handling window resizing, and adjusting rendering workload.

中文简介正在准备中。当前显示英语简介。

• Adding glow to objects in a 3D scene
• Adjusting background blur and scene colors
• Highlighting selected objects with outlines

Create and edit QGIS map projects from the terminal. Add geographic features and attributes, arrange maps and labels in print layouts, export PDFs or images, and run QGIS algorithms for processing geographic data.

中文简介正在准备中。当前显示英语简介。

• Creating a map project and adding points
• Adding geographic features and attributes
• Exporting labeled maps as PDFs or images

Automate Krita image workflows through commands for project setup, layer management, filters, canvas resizing, and export. Use it for repeatable editing tasks, batch image processing, and structured results that AI agents can read.

中文简介正在准备中。当前显示英语简介。

• Prepare layer structures for illustrations
• Adjust layer opacity, visibility, and blending modes
• Apply image filters and resize the canvas

Build and evaluate time-to-event models with scikit-survival, including records whose events remain unobserved when follow-up ends. Keep preprocessing separate from evaluation data, compare models, predict survival probabilities, and summarize censoring-aware metrics.

中文简介正在准备中。当前显示英语简介。

• Validate event indicators and follow-up times in local CSV data
• Train survival models without leaking evaluation data
• Evaluate survival probabilities with censoring-aware metrics