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chat-motion-overlay

Generate configurable chat motion overlays from a transcript or screenshot, including plain bubble scenes, app-style chat containers, optional device frames, preset or uploaded avatars, nickname display rules, and transparent-video-ready Remotion bundles. Use when Codex needs to create reusable short-form chat clips for Douyin, demo videos, story reenactments, social-message proof scenes, or embeddable alpha overlays for Hyperframe and Remotion workflows.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=nexu-io-open-design-skills-chat-motion-overlay-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name chat-motion-overlay description Generate configurable chat motion overlays from a transcript or screenshot, including plain bubble scenes, app-style chat containers, optional device frames, preset or uploaded avatars, nickname display rules, and transparent-video-ready Remotion bundles. Use when Codex needs to create reusable short-form chat clips for Douyin, demo videos, story reenactments, social-message proof scenes, or embeddable alpha overlays for Hyperframe and Remotion workflows. triggers ["chat motion overlay","animated chat","chat bubbles","message overlay","transparent chat video","微信聊天动效","聊天气泡动效","透明聊天视频"] od {"mode":"utility","category":"animation-motion","design_system":{"requires":false}} Chat Motion Overlay Turn chat content into a configurable motion overlay clip instead of a single hard-coded WeChat mock. Workflow Normalize the chat input. If the user gives a screenshot, extract the visible messages into the transcript format in references/input-format.md . If the user gives plain text, keep one message per beat and preserve exact wording when authenticity matters. For screenshots, use visible avatars as clues for participant count and message grouping, but do not crop or recreate avatar images by default. Infer participants and sides, then render with preset avatars unless the user provides avatar files or explicitly requests screenshot-derived avatars. Choose a scene config. Read references/config-schema.md . Decide container style, avatar mode, device frame, nickname mode, and delivery format before generating the bundle. When the user has not provided enough information, follow the question policy in references/question-strategy.md . Build the scene spec. Run scripts/build_chat_overlay_spec.py with a transcript and optional config JSON. The script outputs a single JSON spec that Remotion can render directly. Prepare a renderable bundle. Run scripts/prepare_chat_overlay_bundle.py . It copies the Remotion template, injects src/chatSpec.ts , and copies any uploaded avatar files into public/ . Render the target output. Use the exact export commands in references/output-modes.md . Prefer MOV(透明背景,可直接导入剪映 / PR / FCP 叠加) for editing, WebM(透明背景,适合网页 / 浏览器播放) for browsers, and editable engineering outputs when the user wants to keep composing downstream. Supported Dimensions container : none , wechat , telegram , messenger avatarMode : preset , upload , mixed deviceFrame : none , iphone-dynamic-island nicknameMode : hidden , first-message-only , always deliveryFormat : mov : MOV(透明背景,可直接导入剪映 / PR / FCP 叠加) webm : WebM(透明背景,适合网页 / 浏览器播放) remotion : Remotion 工程(适合继续编辑和拼装) hyperframe : Hyperframe 工程(适合作为模块继续复用) json : JSON 数据(适合程序处理 / 自定义渲染) preview : 预览图 / 预览工程(适合先确认效果) Output Rules Keep the composition root transparent for overlay outputs. Use container: none for standalone bubble motion without an app shell. Use container: wechat|telegram|messenger when the platform chrome is part of the story. Treat uploaded avatars as content assets and copy them into public/ for the render bundle. Prefer preset avatars when the user does not specify avatar files. Screenshot avatars may help identify participants, but recommend user-provided avatar files before attempting to crop or recreate avatars from screenshots. Keep config-driven behavior explicit; do not silently switch style families. Question Policy Prefer inference first, questions second. If the user gives enough information for a sensible default, continue and clearly state the assumptions. Ask only for missing high-impact choices. Keep the question set to 1-3 items. Prefer user-facing wording over technical wording. Ask about deliveryFormat using 格式(场景描述) labels, not internal render terms. If the user says they do not care, continue with defaults and note them in the result. Resources Transcript format: references/input-format.md Config fields and examples: references/config-schema.md Question strategy: references/question-strategy.md Output commands and targets: references/output-modes.md Transcript/config to spec: scripts/build_chat_overlay_spec.py Remotion bundle preparation: scripts/prepare_chat_overlay_bundle.py Remotion render template: assets/remotion-template/
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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