「1:1」の検索結果

Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Use when the user provides Figma URLs or node IDs and asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. Do NOT use for general Figma data fetching, variable exploration, or MCP troubleshooting (use figma instead).

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Use when you need to pick high-quality Unsplash images for product/design assets (avatars, headshots, portraits, large website backgrounds, and abstract wallpapers) and output real Unsplash URLs plus practical instructions for producing the right resolutions and aspect ratios (1:1, 4:5, 3:4, 16:9, 9:16).

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。

Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.

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。

智能转换视频画幅，支持 9:16/16:9/1:1、模糊背景填充、焦点裁切和人脸居中裁切。当用户说“横竖版互转、改成 9:16、转竖屏、去黑边、适配平台尺寸、人脸居中裁”时使用。通用简单裁切用 video-editing；逐段动态人脸跟随切片用 clipify。

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。

通用图像处理加工：改尺寸/缩放、裁剪、补边适配平台尺寸、格式转换（png/jpg/webp）、 压缩到目标大小、加文字或图片水印、圆角、多图拼接、生成缩略图、读图片信息。 基于 image_ops.py 确定性处理。 使用时机：用户说"改尺寸"、"缩放图片"、"裁剪"、"压缩图片"、"加水印"、"转格式"、 "圆角"、"拼图/多图联排"、"缩略图"、"适配小红书/朋友圈尺寸"、"把图 pad 成 1:1"。 和 card-*（卡片类）的区别：card-* 是"HTML 设计→渲染出图"， image-editing 只加工已有图片，不负责视觉设计。

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Use when the user asks to "set up my founder social-selling routine", "build a daily engagement block for target accounts", or "turn funding / hiring signals into selling plays"; produces the founder/seller daily operating block — a time-boxed engagement-block spec (substantive value-add comments on target-account posts, never a pitch), warm-touch-before-ask cadence rules, trigger-response plays consuming the social-pulse-monitor B2B trigger watchlist (funding / hiring / launch signals), and a quarterly diagnostic that reads LinkedIn SSI as an input diagnostic only (Estimated, vendor-defined — never a target metric). All volume norms are Estimated/community-derived; all execution is human — zero mass-DM, zero connection-request automation, zero engagement automation (LinkedIn UA §8.2 red line); 1:1 pitch and DM mechanics route to outreach-manager. Not for cold email sequences — use cold-outbound-sequencer. 社交销售/创始人日常互动块/热身触达节奏/触发信号剧本

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制作微信公众号 2.35:1 头图封面，使用 Codex 内置 image_gen 生成，视觉沿用「轻盈 AI 产品信息图」系统（白/浅薰衣草底、墨黑大标题、科技紫与青柠绿强调、圆角卡片、线性图标）。内置分享安全区校验——公众号封面分享到朋友圈时只保留正中央 1:1 方形，本 Skill 负责让标题不被切掉。用户说"做公众号封面""做头图""文章配首图""2.35:1 封面""公众号封面图""做几版封面"时触发。

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。

Render a punchy ~12s vertical (9:16) music-only direct-response OFFER ad as a 4-beat kinetic-typography film — HEADLINE slam → real PRODUCT drop → CLAIM/proof → CTA pill — from one config of copy slots, a real product photo, a brand palette, fonts, bpm, and beat split. DETERMINISTIC + FREE (a bundled Remotion project; springs + interpolate, no AI-gen for visuals). Backgrounds are engine gradient divs off the palette, props are inline SVG, the ONLY composited bitmap is the REAL product photo (objectFit:contain, never stretched), and ALL headline/claim/CTA/URL/wordmark text is typeset in the engine — never AI-rendered (the format's credibility guard). A driver binds the config to Remotion input props, renders the 9:16 master, and derives a 1:1 center-crop with ffmpeg. Two gating checks run before render (claim verbs must match the product's physical format; the claim beat needs an edge-entry mechanism prop). Use for the motion-graphics-offer-ad format.

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Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA cards (italic skew, 1.08x outline echo, 3D extrusion, slam-with-shake, inversion flash) plus a real-logo PIL end card (base64-decoded from the brand SVG), center-crop 1:1 to 9:16, and explicit-map mux a music bed. Deterministic, FREE (PIL + FFmpeg), no paid calls, the real logo and spec typography stay pixel-crisp. The paid steps (the ONE Seedance i2v, the music) are separate capabilities; the recipe orchestrates them. Use for the product-hypermotion format.

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。

Pull pre-computed ortholog calls from public databases (OrthoDB, Ensembl Compara, OMA browser, eggNOG, PANTHER, KEGG Orthology, HomoloGene) via their REST APIs. Use when orthologs are already curated upstream, when the question is "what is the X ortholog of Y" rather than "how to infer orthology de novo", when batch-mapping gene IDs across species, or when comparing the resources for consensus calls. Encodes confidence-level semantics, 1:1 vs 1:many vs many:many, HomoloGene deprecation, and when to defect to de novo computation.

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。

Use when one approved visual, image or video, must ship at many sizes or placements through Scenario: adapting a master to 1:1, 4:5, 9:16, or 16:9, social formats for feeds and stories, YouTube thumbnails, storefront capsules and app store graphics, marketplace product images, link previews, display banners, a website hero, or choosing between crop, resize, expand, and generative reframe. Keywords: aspect ratio, resize, reframe, outpaint, expand, derivative, safe zone, thumbnail, banner.

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。

Generate one-page meeting briefings from structured input (attendees, prior context, decisions needed). Use before customer calls, board meetings, or 1:1s to prepare a pre-read or briefing.

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Generate and edit presentation slides as PPTX files. Also create LinkedIn carousels and manage reusable slide layouts. TRIGGERS - Use this skill when user says: - "create slides for [brand]" / "generate presentation for [brand]" / "make slides for [brand]" - "create a carousel for [brand]" / "linkedin carousel" / "make a carousel about [topic]" - "edit this pptx" / "update the slides" / "modify this presentation" - "create a new layout" / "add a layout to the cookbook" / "make a [type] layout template" - "edit the [name] layout" / "update the cookbook" / "improve the [name] template" - Any request mentioning slides, presentations, carousels, PPTX, or layouts with a brand name Creates .pptx files compatible with PowerPoint, Google Slides, and Keynote. Creates PDF carousels for LinkedIn (square 1:1 format).

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PRD + 可执行测试用例双文档一体化协作。与用户共同写并迭代。理解需求后自主读代码再写；故事驱动 + 分阶段单点确认；每个 PRD 产出 PRD-MD 与 测试用例-MD（给 AI 的事实源）+ 两份套模板的 review HTML（给人查阅，与 MD 严格 1:1）。触发：梳理/撰写/完善 PRD、需求文档、用户故事、验收标准、测试用例、测试基准、测试方案。

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和用户一起敲定一个前端页面的整页方案（三层法：先定这页给用户什么，再定含哪几样怎么排，最后才是长什么样），最后打成一个定稿包（含高保真全状态与交互流程图）交给开发。触发：用户对一个页面说「想重做 / 重新设计 / 整页不对 / 太满 / 说不清具体改哪」，或「我们讨论一下这页怎么设计」。覆盖三种情形：① 已有页面整页重做；②「替换」——新方案占用同一个入口（同一路由 / 同一侧栏条目）且用户拿着现行页面在说话，功能变不变不作判据；把几个同性质页面合成一页、占其中一个入口，也算替换；③ 从零的新页面，走同一套流程，第 0 步的问法按「新页面」那一栏改。不适用于：只改一两处具体元素的具体属性（间距大一点、按钮换色、换个图标）——这种直接改，不必起流程；照着截图或设计图 1:1 复刻；写 PRD / 测试用例（本 skill 的定稿包是它们的输入）；没有界面的架构 / 数据 / 流程方案；跨页的信息架构 / 导航分组 / 侧栏结构——本 skill 的作用域限单个页面之内。已有页面补状态（加载 / 空 / 错误 / 未设置）：只补一两个且常态布局不动 → 直接改；要成套补齐、或补状态时发现常态布局本身要改 → 用本 skill。

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。

Dung khi can danh gia CON NGUOI trong team marketing dua tren du lieu — KPI scorecard theo tung vai tro writer, designer, media buyer; diem manh co vi du that; diem can cai thien; development plan 30-90 ngay; rubric cham 1-5. Kich hoat khi user nhac 'danh gia nhan vien', 'performance review', 'review nhan su', '1:1 review thang', 'nguoi nay lam duoc khong', 'co nen tang luong khong', 'feedback cho team member'. Khong dung cho — tong ket mot campaign thay vi con nguoi thi dung skill 63-campaign-retrospective; duyet chat luong mot output cu the thi dung skill 62-marketing-review; giao viec va dat deadline thi dung skill 64-team-brief.

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。

Dung khi can GIAO VIEC cho tung nguoi trong team marketing hoac chuan bi hop — task cu the, deadline theo gio, definition of done, rang buoc, diem check-in, kem template agenda va bien ban hop lien phong ban co action item. Kich hoat khi user nhac 'giao task cho team', 'brief cho nhan vien', 'phan cong cong viec', 'brief 1:1', 'definition of done', 'template hop', 'agenda hop marketing', 'giao viec xong lam sai y'. Khong dung cho — brief tong the ca chien dich thi dung skill 02-brief-chien-dich; duyet output nguoi ta nop len thi dung skill 62-marketing-review; danh gia hieu suat dinh ky thi dung skill 65-team-performance-review; giao viec ra ben ngoai thi dung skill 67-agency-vendor-brief.

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。

Use when a leader evaluates a marketing TEAM MEMBER using data — a KPI scorecard by role, strengths with real examples, areas to improve stated as observable behavior, a 30 and 90 day development plan, and a 1-5 rating rubric. Trigger on 'performance review for my marketer', 'evaluate a team member', 'monthly 1:1 review', 'feedback for my content writer', 'development plan for an employee', 'is this person underperforming'. Also use when the user is unhappy with someone and cannot articulate why. Not for — evaluating a campaign rather than a person, see `63-campaign-retrospective-global`; reviewing one piece of output, see `62-marketing-review-global`; scoring an external vendor, see `67-agency-vendor-brief-global`.

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。

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

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。

Use when users want XiaoBei skill / xiaobei-skill / 小北在读研 style academic image-to-VBA reconstruction: convert academic figures, scientific diagrams, slides, screenshots, or other images into VBA, Office drawing code, PowerPoint/Excel/Word shapes, editable shape reconstruction, 1:1 recreation, pixel-like approximation, or hybrid editable Office shape reconstruction.

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。

像素级 750px 图片转代码与高清切图工作流。当 Codex 需要把当前选中的 UI 图片、截图、App/Web 设计稿、Figma 图片导出稿或设计长图转换为代码，并输出独立透明 PNG 切图资源时使用。适用于严格 1:1 等比例还原、画板宽度精确 750px、高清放大切图、防模糊和背景抠除、必要时用 image2/imagegen 抠透明 PNG、文本可编辑、简单图形原生矢量/代码化，最终代码需要自适应适配，或需要把完成稿导出/导入 Figma 为可编辑图层的任务。

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。

Fill a raw PowerPoint (.pptx) template with new content by cloning and patching native slides — no SVG conversion, original design preserved, verified through a mandatory OfficeCLI overflow/render loop. Use whenever the user supplies an existing .pptx template or deck plus new material or a topic and wants a generated PPTX, even if they don't say "template" — "use this PPT template to generate a PPTX", "fill this deck with the new content", "replace the copy in this PowerPoint", "keep the original design and swap in this material", "이 템플릿에 내용 채워줘", "이 PPT 양식으로 만들어줘", "기존 PPT 디자인 그대로 내용만 교체해줘". Do NOT use for reusable template package creation (ppt-master create-template), 1:1 beautify, SVG-pipeline deck generation, or finished-PPTX enhancement (native-enhance-pptx).

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。

Post-router owner for authoring or regenerating presentation visuals through the PPT Master SVG pipeline: new decks from source material or a topic, PPTX re-architecture, generation from an already-created reusable SVG-template workspace, and shared SVG steps only after a strict 1:1 beautify workflow explicitly hands off. Read workflows/routing.md first. Do not use for ambiguous existing-PPTX optimization, reusable-template creation, raw-PPTX native filling, or finished-PPTX native enhancement; those are pre-route or standalone workflow requests.

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。

Pull pre-computed ortholog calls from public databases (OrthoDB, Ensembl Compara, OMA browser, eggNOG, PANTHER, KEGG Orthology, HomoloGene) via their REST APIs. Use when orthologs are already curated upstream, when the question is "what is the X ortholog of Y" rather than "how to infer orthology de novo", when batch-mapping gene IDs across species, or when comparing the resources for consensus calls. Encodes confidence-level semantics, 1:1 vs 1:many vs many:many, HomoloGene deprecation, and when to defect to de novo computation.

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。