「image」の検索結果

Prepare and launch LoRA, LoKr, or T-LoRA training through lora-scripts-next (SD-Trainer), Anima-first. Use when the user asks to train a character, style, or concept LoRA, choose parameters or repeats and epochs, start a run, or monitor training on Anima, SD1.5, SDXL, or Flux. Organize and caption the dataset, run dataset-doctor, choose a documented starting preset from image count and VRAM, show one confirmation card, then call the mikazuki API and monitor its log.

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Transform a supplied photo into an editorial collage where a realistic foreground gradually continues as fine drawing and light pigment on paper. Use for 实景渐绘拼贴、摄影与建筑线描融合、photo-to-sketch travel posters. Keeps a photographic anchor rather than converting the whole image into an illustration.

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- Start-here router and tradecraft baseline for any investigation into a person, company, domain, image or selector.

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添付された複数の画像を一括で圧縮・リサイズするスキル。「画像を圧縮して」「このスクショを軽くして」「リサイズして」「画像を小さくして」などのリクエストで使用する。Pillowで長辺1920pxにリサイズし、JPEG/PNGで出力先ディレクトリに保存する。

Use for release-level accessibility and performance review, including WCAG 2.2 AA, keyboard/focus, target size, reduced motion, semantic controls, Core Web Vitals, images/fonts/JavaScript, and animation or 3D performance budgets.

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Use for dedicated mobile, tablet, ultrawide, touch, or breakpoint design passes where content priority, layout, navigation, imagery, interaction, and motion must be recomposed rather than simply resized.

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Use when a website needs a strong visual point of view, distinct concept routes, composition, typography, color/materiality, imagery direction, spatial rhythm, or a memorable signature idea.

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Use for a focused high-craft polish pass after structure and art direction are stable; improves typography metrics, spacing rhythm, imagery crop, surfaces, optical alignment, micro-interactions, and restrained detail without redesigning the whole page.

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Submission-grade remote-sensing Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, map-led composites, remote-sensing image plates, sensor/product workflow figures, validation/error/uncertainty panels, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family, Remote Sensing of Environment, ISPRS, IEEE TGRS, or other high-impact venues. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 遥感论文配图、学术写作配图、科研绘图、科研作图、地图出图、论文图表、可视化.

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Install and use the official AI Headshot Generator package, pinned by digest, for paid hosted work on the Beatra service.

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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.

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Produces complete brand identity systems — logos (AI-generated via Gemini), color palettes, typography, imagery guidelines, and WordPress-based brand asset libraries. Use when the task asks for "brand kit", "logo design", "brand guidelines", "brand identity", "visual identity", "brand colors", or "brand assets". Covers AI-assisted logo generation, asset sizing, brand archetypes, and WordPress brand page structure.

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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

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Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.

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Asset and IT register: serial, model, condition, assignee, location, purchase value, warranty expiry and return date, as CSV, SQL, JSON Schema or Notion on request. Use for asset audits.

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Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

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Maintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.

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Goal-integrity skill. Use for backend/API/persistence, preserve/do-not-change, tests/validation, mocks, rework, multi-part requests. Emits Goal Contracts, Deviation Notices, Phase Checks, Final Audits

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Build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS using Apple's open-source container CLI, no Docker daemon required.

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Generate hand-drawn 16:9 article illustrations with the Grav character IP, sparse annotations, and absurd but clear visual metaphors.

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Implement GitOps with ArgoCD for declarative Kubernetes deployments.

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Generate user-facing App Store release notes from git history since the last tag.

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Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

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Advanced JavaScript animation library skill for creating complex, high-performance web animations.

日本語の概要は準備中です。原文の説明を表示しています。