「1:1」の検索結果

Generate marketing ad images using Nano Banana Pro (Gemini 3 Pro Image). Accepts campaign-planner creative briefs, reads brand bible for visual style, constructs marketing-optimized prompts, and produces platform-ready images at correct aspect ratios. Supports 1:1, 9:16, 16:9, 4:5 formats. Includes self-review loop to catch hallucinated logos, wrong text, and quality issues. Draft-first workflow (1K fast iteration, 4K final). Outputs to /tmp/marketing/assets/images/.

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 copy-catting, replicating, or adapting features from external systems, repos, apps, or ideas into the current project. Triggers on 'copy this from', 'replicate', 'clone this feature', 'how does X do Y', 'chom', 'like how X does it', 'port from', 'build like', '1:1 copy'. NOT for packing the current project (see mk:pack); NOT for one-shot URL-to-markdown fetches (see mk:web-to-markdown).

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 premium, multi-page, mobile-optimized (1:1 aspect ratio) PDF marketing brochures for exclusive retreats, workshops, luxury events, or any high-end product/service offering. Use this skill whenever a user asks to create a brochure, marketing PDF, event flyer, WhatsApp marketing material, social media brochure, or design a multi-page promotion document. Also trigger when users mention wanting to promote an experience, product, or service and need visual marketing material. Even if the user just says "make a brochure for my event" or "I need a PDF for my product," use this 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。

Traduza nós do Figma em código pronto para produção com fidelidade visual 1:1 usando o workflow MCP do Figma (contexto de design, screenshots, assets e tradução de convenções de projeto). Ative quando o usuário fornecer URLs do Figma ou IDs de nó, ou solicitar implementar designs ou componentes que devem corresponder às especificações do Figma. Requer uma conexão funcional com servidor MCP do Figma.

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 11 color palettes and 7 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。

Generate Guizang-style social cards, Xiaohongshu carousels, 3:4 covers, and WeChat 21:9 plus 1:1 cover pairs from articles, scripts, screenshots, notes, subtitles, or photos.

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。

运用《高绩效教练》(John Whitmore) 的 GROW 模型与教练式提问,帮助用户通过觉察与责任感释放他人潜能。适用于用户要准备 1:1 对话或辅导下属、想戒掉"直接给答案"改用提问启发、做绩效反馈或项目复盘、以及对自己的目标困境做自我教练时使用。

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 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

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 designs into production-ready application code with 1:1 visual fidelity. Use for Figma URLs, node IDs, implementation requests, or components that must match Figma specs; use the local `figma` skill for general Figma MCP context and setup.

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 designs into production-ready SwiftUI code with 1:1 visual fidelity using the Figma MCP workflow. Trigger when the user provides Figma URLs or node IDs and wants iOS/SwiftUI implementation, asks to implement a design or component from Figma for an iOS app, or references Figma selections in the context of an Xcode/SwiftUI project. Also trigger when user asks to inspect Figma designs for iOS planning, fetch design tokens for SwiftUI, or convert Figma assets for Xcode. Requires a working Figma MCP server connection. Do NOT trigger for web/React implementations.

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 a polished frontend reference screenshot through a configurable GPT-image-2-compatible generations endpoint, save and show versioned previews inside the project, revise selected previews through a configurable /images/edits endpoint, and reproduce only the user-approved design as functional frontend code with high visual fidelity. Use when Codex is asked to design, build, restyle, or recreate a web page, application screen, dashboard, landing page, or UI component through an image-first workflow, design approval loop, screenshot-driven implementation, pixel matching, or a 1:1 frontend recreation.

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。

Call MCP (Model Context Protocol) server tools on the Unique AI Platform using the unique-cli mcp command. Use when the user asks to invoke, call, or execute an MCP tool, or when they need to send a JSON payload to an MCP server through the CLI. The JSON payload is forwarded 1:1 to the platform's MCP call-tool API.

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。

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。

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。

Complete engineering management system — team building, 1:1s, performance, hiring, architecture decisions, incident management, and scaling. From IC-to-manager transition through director-level operations.

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。