「text」の検索結果

Generate a front cover image with custom artwork, title text, and author attribution.

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 product promotional card with a product photo, sale badge, and pricing text.

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 product listing image with photo, price badge, and promotional text overlay.

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。

Optimize a product photo and compose it into a promotional banner with sale text and pricing.

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 vertical story image for TikTok or Instagram book promotion with cover art, hook text, and author branding.

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 composited images from layers — solid colors, gradients, text, images, QR codes, barcodes, and layouts.

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 YouTube thumbnail with bold title text, gradient background, and a static image cutout.

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 complete EPUB e-book with chapters, table of contents, and rich text formatting.

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。

Writes a new Scenic scenario (.scenic) from a natural-language description — "a car cuts in from the right lane", "a pedestrian crosses in front of the ego", "negotiate an unsignalized four-way" — by turning the request into a spec, generating the file from idioms proven on this build, and validating it by compiling and sampling before any simulator is involved. Use when the user asks to "write a Scenic scenario", "create a .scenic file", "turn this description into Scenic", "generate a scenario from text", or wants a Scenic scenario authored or repaired.

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。

Draws debug overlays in a running CARLA world via world.debug — points, lines, arrows, bounding boxes, and text strings, each with a colour and lifetime. Use when the user asks to "draw/mark/highlight a point or box in the world", "visualise a path/waypoints", "label a location", or "show something on the map for debugging". Shapes are an overlay, not actors.

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。

This skill should be used when conducting a scored agent-native architecture review. It launches 8 parallel sub-agents to audit action parity, context injection, CRUD completeness, capability discovery, and prompt-native features.

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。

Download and transcribe videos from YouTube, Bilibili, TikTok and 1000+ platforms. Use when user requests video download, transcription (转录/字幕提取), or converting video to text/markdown. Supports quality selection, audio extraction, playlist downloads, cookie-based authentication, and AI-powered transcription via SiliconFlow API (免费转录).

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。

Architecture Decision Records — context, decision, consequences, supersession trail.

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。

[Design System] Quantitative accessibility audit for UI - contrast ratios, font sizes, tap targets, heading hierarchy. Use when (1) checking WCAG color contrast compliance, (2) auditing text sizes for readability, (3) validating touch/click target sizes, (4) reviewing heading structure and landmarks, (5) user asks to 'check accessibility', 'audit contrast', 'WCAG compliance', or 'a11y check'.

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。

Automated WCAG 2.1 AA accessibility testing with axe-core and Lighthouse CI. Auto-detects frontend framework (React, Next.js, Vue, Angular, Svelte, Astro, Flutter, React Native), discovers all routes and interactive components, installs Playwright + axe-core for page-level scanning and jest-axe/vitest-axe for component-level testing. Generates tests for color contrast (4.5:1), alt text, form labels, ARIA attributes, heading order, landmark regions, focus visibility, keyboard navigation (tab order, focus traps, modal focus management, skip-to-content), screen reader compatibility (aria-live regions, error announcements, toast notifications), and Flutter Semantics validation (48dp touch targets, semanticLabel). Reports violations by severity (critical, serious, moderate, minor) with WCAG criterion references. Use when adding a11y testing, auditing accessibility compliance, fixing contrast issues, or validating keyboard and screen reader support.

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。

Build WCAG 2.1 AA compliant web applications for University of Sheffield. Covers semantic HTML, ARIA patterns, form accessibility, keyboard navigation, color contrast, alt text, captions, and automated testing. Use when creating websites, web apps, forms, interactive components, or auditing accessibility for WCAG compliance, screen readers, keyboard access, or inclusive design.

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。

Adds accessibility annotations (ARIA labels, roles, alt text) to make web content accessible. Use when user asks to "add accessibility", "make accessible", "add aria labels", "wcag compliance", or "screen reader support".

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。

Accessibility audit for CSS covering focus styles, color contrast, text sizing, screen reader support, and WCAG compliance. Provides actionable fixes. Use when auditing accessibility or fixing a11y issues.

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。

Secure secret management using 1Password CLI. Detect plaintext secrets in files and codebases, convert environment files to 1Password templates, inject secrets securely using op inject, and audit codebases for security compliance.

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。

Configures JWT Bearer authentication for .NET APIs. Includes token generation, validation, refresh tokens, and user context extraction from claims.

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。

Create or update a pull request for the current branch. Trigger when the user asks to create/open/make a PR, or to edit/update/rewrite/fix the PR description, body, or summary — for both new PRs (`gh pr create`) and existing ones (`gh pr edit --body-file`). Use for any verb that lands on a PR's text content: "open a PR", "make a PR", "update the PR description", "rewrite the PR body", "fix the description".

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。

Turn character reference images into reusable, rigged voxel 3D assets for Blender and Three.js through an imagegen turnaround and user-approval workflow. Use when Codex needs to preserve a character's likeness across front, side, and back views; create or revise Minecraft-like cube-headed models; prevent missing rear hair or clothing; split features between block geometry and face/clothing textures; generate GLB and editable .blend files; add walk/smash-compatible rigid-part pivots; or diagnose why a voxel conversion is not recognizable.

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。

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".

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 Skills from HTTP MCP servers with async job patterns (submit/status/result). Use when converting MCP specifications (.mcp.json) into reusable Skills using mcp_tool_catalog.yaml. Supports --lazy mode for context-saving generation. Also use for calling async MCP tools via JSON-RPC 2.0 with session-based polling.

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。