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Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a task needs 100K+ tokens of context.
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Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.
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Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.
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Remove Gemini AI watermarks from images using GeminiWatermarkTool (GWT). Use this skill whenever the user mentions: Gemini watermark, 浮水印, AI image cleanup, removing logos from Gemini-generated images, Google ImageFX cleanup, batch processing AI-generated photos, or anything about a semi-transparent logo in the bottom-right corner of an image — even if they don't say "GeminiWatermarkTool" explicitly. Also trigger for follow-up requests like "the corner still looks dirty" or "there's still residual artifacts" after a previous removal attempt.
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Nano Banana（Google Gemini）圖像生成 SKILL。用於呼叫 Gemini 系列圖像模型（gemini-2.5-flash-image, gemini-3.1-flash-image-preview, gemini-3-pro-image-preview）生成概念圖、UCUF 參考探索圖、UI 資產草稿、icon、badge、卡面母稿。需要在 tools_mcp/nano-banana-mcp/.env 設定 GOOGLE_AI_API_KEY。
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汇总本地多个AI开发代理的使用日志，将令牌数和API等值费用等数据制成SVG卡片，便于在README或资料中展示使用情况。
帮助构建定期采集公开网站或API中职位、价格、新闻等信息的系统，设计AI摘要、分类、评分和存储流程，并将用户的采纳或拒绝记录用于后续评分。
制作标志、名片效果图、HTML幻灯片、横幅、社交媒体图片和SVG图标，并制定品牌配色与字体规则，将其应用到素材和界面设计中。
在GitHub上查找智能体技能，评估与任务的相关性，检查恶意软件和文件内的敏感凭据，并导入Claude Code等支持的环境。
使用预设测试用例检查agent-booster的成功率和任务分流，可选与外部模型比较，并将各用例的实测结果和汇总保存为JSON。
Bring exported memories from another AI assistant into Claude. Organize profile, project, relationship, and topic facts, exclude sensitive details and instructions, then ask for confirmation before adding information without replacing existing memories.
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Generate images from text, edit an existing picture, or combine up to three source images using Gemini 3 Pro Image through OpenRouter. Choose 1K, 2K, or 4K output and save the results as image files.
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Assess a website separately for five AI search services, including ChatGPT and Google AI Overviews. Compare scores, identify gaps in content and platform presence, and receive actions organized by priority and timeframe.
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Get independent code reviews of uncommitted changes, branch differences, or individual commits using Codex or Antigravity. Receive findings with severity, locations, impact, and suggested corrections, and compare where the two reviewers agree or differ.
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Inspect images and videos you generated or edited for AI watermarks and embedded origin information, then remove selected signals. The skill guides a command-line tool and reports completed operations without treating missing signals as proof of human authorship.
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Help text-only models work with images by converting visible text, layout, meaning, and visual clues into structured JSON. The skill also guides configuring image analysis providers and reporting unclear details from the returned evidence.
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Google Gemini media generation: Nano Banana images, Imagen 4 images, Veo video, TTS, model listing. Trigger phrases: gemini image, nano banana, imagen, veo video, google veo, gemini tts.
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Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
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Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.
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通过 Gemini 官网（gemini.google.com）执行生图、对话等操作。用户提到"生图/画图/绘图/nano banana/nanobanana/生成图片"等关键词时触发。操作方式分三级优先级：首选 MCP 工具 → 次选 Skill 脚本 → 最次连接 Skill 浏览器手动操作（需用户授权）。禁止自行启动外部浏览器访问 Gemini。
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Invokes Google Gemini models for structured outputs, image generation, text-to-speech narration, multi-modal tasks, and Google-specific features. Use when users request Gemini, image generation, Gemini TTS or a synthesized voice, structured JSON output, Google API integration, or cost-effective parallel processing.
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Codex、Gemini、Claudeの3つのAIに並列でコードレビューを依頼し、結果を統合レポートとして出力するスキル。複数AIの視点から包括的なレビューを得たいとき、「マルチAIレビュー」「3つのAIでレビュー」「Codex Gemini Claudeでレビュー」などと言及した時に使用。
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Use Gemini as a third external reviewer alongside two other vendors: diff review with an APPROVE or REQUEST_CHANGES verdict, and QA-breaker duty in the post-build test ritual. Headless over REST with a CLI fallback, and verdicts go to a shared usage journal. Triggers: "/gemini review", "gemini opinion on this diff".
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TEKION Slide Generator v4 — プレゼンスライド生成（OpenAI GPT-image-2 デフォルト / Gemini 3.1 Flash 両対応）。「スライドを作って」「プレゼン資料」で発動。Markdown/テキスト→デザインガイドライン→並列画像生成→PPTX/PDF。日本語テキスト精度重視の営業資料・提案書はOpenAI、大量生成や実在ブランド/人物はGemini。Visual/Balanced 2スタイル、ロゴ/参考画像、グラウンディング、Thinking制御対応。
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