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使用 Wonda CLI 从终端生成图像、视频、音乐和音频——以及 LinkedIn、Reddit 和 X/Twitter 的调研与自动化

在 RunComfy 上让任何静态图像动起来——此技能是一个智能路由器，能将用户意图匹配到 RunComfy 目录中合适的 i2v 模型。常规动画选取 HappyHorse 1.0 I2V（Arena #1、原生音频、保持身份特征），带 `audio_url` 的自定义配音口型同步选取 Wan 2.7，基于“图像 + 参考视频 + 参考音频”的多模态动画选取 Seedance 2.0 Pro。内置各模型的文档化提示词模式，让调用者获得更精准的输出，避免在错误的模型上浪费迭代次数。通过本地 RunComfy CLI 调用 `runcomfy run <vendor>/<model>/image-to-video`（或其端点变体）。触发词包括“image to video”、“image-to-video”、“i2v”、“animate image”、“make this move”，或任何将静态图像转换为视频的明确请求。

在 RunComfy 上使用 ByteDance Seedance 2.0 Pro 生成电影级短视频。文档说明了 Seedance 2.0 Pro 的优势（多模态参考——最多支持 9 张图像、3 个视频和 3 个音频——同步内嵌音频与自然唇形同步、电影级动作优化）、4-15 秒的时长规范，以及何时应转用 HappyHorse 1.0 / Wan 2.7 / Kling。通过本地 RunComfy CLI 调用 `runcomfy run bytedance/seedance-v2/pro`。在触发“seedance”、“seedance 2”、“seedance v2”、“seedance pro”、“bytedance video”或明确要求使用此模型生成视频时激活。

在 RunComfy 上使用 Kling 3.0 生成视频。Kling 3.0（亦称 Kling V3.0）是快手科技推出的第三代多镜头视频模型，具备原生同步音频功能，且能在多镜头间保持角色一致性。本技能涵盖全部六个 Kling 3.0 端点，横跨三个渲染级别（Standard、Pro、4K）与两种模式（text-to-video、image-to-video）。通过本地 RunComfy CLI 执行命令 runcomfy run kling/kling-3.0/<tier>/<mode>。当出现“kling”、“kling 3.0”、“kling v3”、“kling pro”、“kling 4k”、“kling text to video”、“kling image to video”，或任何明确要求使用 Kling 3.0 进行生成或制作动画的指令时触发。

通过命令行在 RunComfy 上运行任意模型。`runcomfy` CLI 是一个二进制文件、一次认证、数百个模型端点 —— 图像生成、图像编辑、视频生成、图生视频、唇形同步、换脸、视频编辑、局部重绘、外扩、扩展、ControlNet、重新打光、超分辨率、LoRA 训练等。提交请求、轮询状态、下载输出。本技能教授智能体如何安装、认证、发现模型 schema、调用模型、流式/轮询/无等待模式、JSON 输出模式脚本编写以及错误处理。触发词包括 "runcomfy cli"、"install runcomfy"、"runcomfy login"、"runcomfy run"、"runcomfy whoami"、"runcomfy api"，或任何明确要求从脚本或终端调用 RunComfy 模型的请求。同级技能（ai-image-generation、ai-video-generation、image-edit、video-edit、face-swap、lipsync、image-to-video、image-inpainting、image-outpainting、video-extend、controlnet-pose、relight）均通过此 CLI 进行调度。

ai-video-generation — 一个可安装的 AI 智能体技能，由 agentspace-so/runcomfy-agent-skills 发布。

Image outpainting on RunComfy via the `runcomfy` CLI — extend a still beyond its original canvas, fill in what the camera didn't capture, change aspect ratio (square → 16:9, portrait → landscape) while preserving the original content. Routes across Nano Banana 2 Edit (default, spatial-language driven), GPT Image 2 Edit (multi-ref with reference-style matching), FLUX Kontext Pro (single-shot maximum-preservation), and the brand edit endpoints (Seedream / Dreamina / Qwen / FLUX 2). Picks the right route based on whether the outpaint is prose-driven, reference-driven, or brand-locked. Triggers on "outpaint", "outpainting", "extend image canvas", "expand the image", "fill in around the photo", "uncrop", "change aspect ratio", "extend frame", "wide-screen from square", or any explicit ask to add canvas around an existing still.

通过 Tavily CLI 搜索网络，获取针对 LLM 优化的结果。当用户想要搜索网络、查找文章、查询信息、获取最新新闻、发现信息源，或说出“search for”、“find me”、“look up”、“what's the latest on”、“find articles about”，以及需要来自互联网的当前信息时，请使用此技能。返回包含内容片段、相关性评分和元数据的相关结果——专为 LLM 消费而优化。支持域名过滤、时间范围和多种搜索深度。

通过 Tavily CLI 从指定 URL 提取纯净的 Markdown 或文本内容。当用户提供一个或多个 URL 并希望获取其内容，或说出"提取"、"抓取内容"、"拉取文本"、"获取页面"、"阅读此网页"，或需要从网页获取纯净文本时使用此技能。支持 JavaScript 渲染页面，返回针对 LLM 优化的 Markdown，并支持基于查询的分块以进行定向提取。单次调用最多可处理 20 个 URL。

Always use this skill when the task involves writing, reviewing, or editing

Use opencli-rs CLI to interact with social/content websites (HackerNews, DevTo, Lobsters, StackOverflow, Steam, Linux-do, Arxiv, Wikipedia, Apple-Podcasts, Xiaoyuzhou, BBC, Hugging Face, SinaFinance, Google, V2EX, Bloomberg, Twitter/X, Bilibili, Reddit, Zhihu, Xiaohongshu, Xueqiu, Weibo, Douban, WeRead, YouTube, Medium, Substack, SinaBlog, BOSS直聘, Jike, Facebook, Instagram, TikTok, Yollomi, Yahoo-Finance, Barchart, LinkedIn, Reuters, SMZDM, Ctrip, Coupang, Grok, Jimeng, Chaoxing, Weixin, Doubao, Cursor, Codex, ChatWise, ChatGPT, Doubao-App, Notion, Discord, Antigravity etc.) via the user's Chrome login session. ALWAYS prefer opencli-rs over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, or fetch hot/trending content from internet, post, or read messages on any web site;

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