Generate or edit an AI image — text-to-image (文生图/AI画图) or image-to-image (图生图, pass images) — via free models (Agnes AI default, or Zhipu). Use this for photographic or illustrated subjects (写实图/插画/概念图/Logo 设计图). Output downloads locally and the path is returned. No local rendering libs needed; this calls the AI model for you. Multilingual triggers: 画像 · imagen · image · Bild · изображение · imagem (ja/es/fr/de/ru/pt).

Create an AI video — text-to-video, image-to-video, or keyframe animation (文生视频/图生视频/关键帧动画/让这张图动起来/做个动画) — via free models (Agnes AI default, or Zhipu). Use this for any '生成视频/做动画' request; no local video tools needed. Smart async: long videos return a handle to poll with get_video; short ones block until done. Multilingual triggers: 動画 · vídeo · vidéo · Video · видео · vídeo (ja/es/fr/de/ru/pt).

Poll and optionally download a video task created by create_video (by videoId or taskId). Companion to create_video — use it after an async video returns a handle, or to check/retrieve any video task.

List available AI image/video models and video constraints per provider (Agnes / Zhipu). Use to discover model names (e.g. cogview-4, agnes-video-v2.0) and allowed video frame counts before calling generate_image / create_video.

Generate architecture / flowchart / sequence / class / ER / mindmap diagrams (架构图/流程图/时序图/类图/ER图/思维导图/示意图), rendered locally to vector SVG. The D2 and Graphviz engines are BUILT IN (WASM, bundled with this tool) — you do NOT need d2/dot/graphviz installed, do NOT run which d2/which dot, and do NOT shell out to them or write DOT files by hand; just call this tool and provide the D2 or DOT DSL. Prefer this for structured technical diagrams (architecture, flowchart, sequence, ER, class). LIMITS: D2 produces clean auto-laid-out diagrams with shapes/connections/basic style (fill/stroke/shadow/border-radius/gradients) — it does NOT support SVG filters (feGaussianBlur glow/blur), ambient lighting, vignette, pattern grids, or artistic depth effects. For highly stylized '酷炫/霓虹/科技感' graphics requiring glow/blur/depth beyond what D2 offers, hand-writing SVG is appropriate. mermaid is not supported in-process (needs a browser); use d2 or graphviz instead. Multilingual triggers: 図 · diagrama · diagramme · Diagramm · диаграмма · diagrama (ja/es/fr/de/ru/pt).

Generate a QR code (二维码) as SVG or PNG from text/URL. Pure local rendering — no qrencode/zbar/system install, no AI, no network. Just call with the text/URL to encode. Multilingual triggers: QRコード · código QR · code QR · QR-Code · QR-код · código QR (ja/es/fr/de/ru/pt).

Generate bar / line / pie / area / scatter charts and data visualizations (柱状图/折线图/饼图/散点图/数据可视化) from your data — Claude converts your numbers/CSV/data into a Vega-Lite spec internally; you just pass the data and chart type. Vega-Lite + vega are BUILT IN (bundled) — no matplotlib, no Python, no graphviz, no system install needed; prefer this over writing Python/matplotlib. Renders to vector SVG. No AI. NOTE: Vega image marks with external URLs are NOT embedded; use data URIs for self-contained output. Multilingual triggers: グラフ · gráfico · graphique · Diagramm · график · gráfico (ja/es/fr/de/ru/pt).

Render a math formula to vector SVG (数学公式/公式渲染/方程). Pass the formula as LaTeX (e.g. E=mc^2, \frac{a}{b}, \sum_{i=1}^n i^2) — even simple formulas qualify; the user need not say 'LaTeX'. MathJax is BUILT IN (bundled) — no KaTeX/system install, no font dependency; just call this tool. Prefer this over any manual approach. Pure local, no AI. Multilingual triggers: 数式 · fórmula · formule · Formel · формула · fórmula (ja/es/fr/de/ru/pt).

Fetch and render a vector icon / logo / symbol / favicon (图标/logo/符号) from Iconify — 200k+ icons. Renders to SVG/PNG locally. Needs network (Iconify API); cached after first fetch. Browse at https://icon-sets.iconify.design. No AI. Multilingual triggers: アイコン · icono · icône · Symbol · значок · ícone (ja/es/fr/de/ru/pt).

Generate a share card / OG image / quote card / poster / cover image (分享卡/分享图/封面图/海报/引言卡/金句卡/OG图; default 1200x630 PNG). The rendering engine is BUILT IN and runs entirely in-process — do NOT write HTML+CSS and screenshot it with headless Chrome/Puppeteer/Playwright, do NOT use Pillow/PIL/Python, and do NOT hand-code SVG; just call this tool with title/subtitle/body and it renders deterministically. Prefer this for ANY text/card/OG/poster/cover-image request. (For illustrated or photographic subjects, use generate_image instead.) Supports 5 templates (og/quote/minimal/hero/panel), gradient title + glow effects, embedded logo/avatar, Chinese + Japanese kanji auto, color emoji auto. LIMITS: Japanese kana and Korean need fontPath; titleGradient + glow don't combine; no JS execution / no animation (those would need a browser). Multilingual triggers: カード · tarjeta · carte · Karte · карточка · cartão (ja/es/fr/de/ru/pt).

Render SVG source to high-quality PNG or SVG. Dual backend: resvg (92% filter fidelity, in-process, lightweight) or Chrome (100% filter fidelity, needs system Chrome/Edge). AUTO-selects: if SVG contains // AND Chrome is available → Chrome; else resvg. Use this for '酷炫/霓虹/科技感' graphics with glow/blur/depth that D2 cannot produce — write the SVG (with feGaussianBlur, radial gradients, etc.) and this tool renders it. No AI.