Results for “visual-studio-code”

Use for designing, auditing, or refactoring a GitHub Copilot customization system in Visual Studio Code across instructions, prompt files, Agent Skills, custom agents, hooks, MCP servers, and plugins. Do not use merely to author one already-selected artifact or configure unrelated VS Code settings.

Drive Airship (`@airshiplabs/cli`), a CLI that puts a visual, pannable design canvas in front of a running dev server so an engineer can click an element, describe a change, and have Claude Code, Codex, or OpenCode edit the underlying source file directly — no plugin, no build config, nothing added to the project. Use when the user wants to launch a visual editor over a local dev server (`npx @airshiplabs/cli --target <port>`), pick or compare coding agents (`--agent claude|codex|opencode`) for live UI edits, sandbox agent edits with `--safe`, scaffold an `airship.config.json` (`airship init`), or diagnose a broken setup (`airship doctor`). Triggers on: "airship", "@airshiplabs/cli", "visual editor for my codebase", "click to edit UI", "design canvas over dev server", "airship doctor", "airship init", "pair Claude Code with a visual editor on localhost".

Use for designing, creating, reviewing, or packaging GitHub Copilot and Agent Plugins for Visual Studio Code, including plugin.json, portable skills, MCP components, client-specific agents, commands, and hooks. Do not use for a single standalone skill, ordinary VS Code extensions, or installing an unreviewed plugin.

Author/validate/export Google's DESIGN.md token spec files.

SNLI-VE: Visual Entailment Dataset

Use when embedding and customizing Unicorn Studio interactive animations on the web (embed, responsive sizing, performance, layering with UI, fallbacks).

Turn an app idea into a precise build prompt for an AI app builder (Lovable, v0, Bolt, Replit, and others). Trigger on "build me an app", "prompt for Lovable", "v0 prompt", "vibecode this", "I want to build a tool that", "prompt to build a web app", or any request to spin up an app with an AI builder.

Use for creating, splitting, reviewing, or debugging GitHub Copilot custom instructions in Visual Studio Code, including .github/copilot-instructions.md, .github/instructions/*.instructions.md, and AGENTS.md. Do not use for slash commands, Agent Skills, custom agents, hooks, or ordinary project documentation.

Connects MCP-compatible coding agents to Writingmate for model discovery, text comparison, image generation, and video generation using models like Seedance, Sora, Veo, Kling, and PixVerse.

入力（テキストアイデア/音源/動画/YouTube URL）を映像制作用の4構造プロンプト仕様書（①映像タイムライン ②ビジュアル特徴・画風 ③画像生成AI用プロンプト(英+訳) ④動画AI用モーション指示）に変換し、Phase 5 で画像+動画の実際生成ウィザードまで担当する。音源・動画・YouTubeはGemini(gemini-code)に分析委任、テキストアイデアはCC単独で処理。音楽生成プロンプトは出力しない（それは reverse-engineer-song の役割）。ユーザーが「映像プロンプト」「動画プロンプト」「映像仕様書」「ビジュアルプロンプト作って」「このアイデアで映像」「映像構成作って」「武将の動画」「サイバー和の映像」「MV作って」等と言った時、または /video-prompt-spec を呼んだ時にトリガー。楽曲のMV・プロモーション映像・ショート動画の映像プロンプトが欲しい時、画像/動画の実際生成まで走らせたい時は必ず本スキルを使うこと。

Use for creating, reviewing, debugging, or testing GitHub Copilot agent hooks in Visual Studio Code, including .github/hooks JSON, lifecycle events, Python handlers, permissions, and structured stdin/stdout. Do not use for advisory instructions, one-off commands, CI workflows, or shell profile hooks.

Use for designing, creating, reviewing, or debugging Model Context Protocol server configuration for GitHub Copilot in Visual Studio Code, including .vscode/mcp.json, transports, inputs, trust, sandboxing, and tool scope. Do not use for implementing an MCP server, ordinary HTTP clients, or silently installing or starting external software.