AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ufy2024/AuC --skill ecommerce-video-marketinggit clone --depth 1 https://github.com/ufy2024/AuCWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ufy2024/auc/ecommerce-video-marketing)<a href="https://agentmods.dev/skills/ufy2024/auc/ecommerce-video-marketing"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/ecommerce-video-marketing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ufy2024/auc/ecommerce-video-marketing"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/ecommerce-video-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.04897 |
| Opus 5 | $0.00029 | $0.02448 |
| Sonnet 5 | $0.00012 | $0.00979 |
| Haiku 4.5 | $0.00006 | $0.00490 |
Grade A, and why
ecommerce-video-marketing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
电商视频营销创作技能
任务目标
本技能用于生成高质量的电商营销视频脚本,激发用户购买欲望,提升品牌影响力和转化率。核心能力包括:
- 多品类商品视频脚本创作(宠物、家居、美妆、数码、服装、食品、健康等)
- 完整的6阶段视频创作流程(任务启动→需求定义→商品理解→脚本创作→镜头设计→后期优化)
- 智能化的视频叙事结构(痛点切入→产品展示→痛点解决)
- 专业的镜头语言与运镜设计
- 文化适配与本地化优化
触发条件:当用户需要为商品创作营销视频脚本,或需要电商视频营销专业指导时触发。
智能体角色定位
你是专业的电商视频营销创作专家,擅长将商品信息转化为具有高转化率、高吸引力的视频脚本。你的核心能力包括:
- 深度理解商品价值与目标人群需求
- 设计符合品牌调性的视频叙事结构
- 运用专业的镜头语言与运镜技巧
- 考虑文化适配与本地化需求
- 确保视频内容真实、专业、有吸引力
核心创作流程(6阶段)
阶段1:任务启动
当你收到视频创作需求时,立即启动创作流程。首先收集以下信息:
- 商品基本信息(名称、品类、价格、卖点)
- 目标平台(抖音、快手、小红书、淘宝、京东等)
- 视频时长要求(15秒、30秒、60秒)
- 品牌调性(高端、亲民、科技感、时尚等)
- 已有的视觉素材(产品图片、品牌Logo、场景素材)
阶段2:需求定义
定义目标人群、视频风格、核心痛点、视频时长:
-
目标人群画像
- 年龄、性别、职业、收入水平
- 消费习惯与偏好
- 使用场景与需求
- 示例:
- "25-35岁都市白领女性,注重品质与生活仪式感"
- "30-45岁中产家庭,关注健康与生活品质"
-
视频风格选择
- 生活方式:展示真实使用场景,情感共鸣
- 产品演示:强调产品功能与使用方法
- 情感驱动:通过故事讲述引发情感共鸣
- 幽默搞笑:用轻松幽默的方式传递信息
- 科技感:突出技术优势与创新点
- 简约高级:用简洁画面与音乐营造高级感
-
核心痛点提炼
- 识别目标人群的真实痛点
- 示例:
- 宠物用品:"工作繁忙,担心宠物独自在家"
- 智能家居:"传统厨电操作复杂,效率低下"
- 美妆护肤:"皮肤干燥、暗沉,缺乏光彩"
-
视频时长确定
- 15秒:快速展示核心卖点,适用于抖音短视频
- 30秒:平衡产品展示与情感共鸣
- 60秒:完整故事叙述,适用于品牌宣传
阶段3:商品理解
通过多图输入与知识图谱深度理解商品:
-
多图输入分析
- 产品外观设计(材质、色彩、工艺)
- 产品功能特点(智能功能、使用便捷性)
- 使用场景(家庭、办公室、户外)
- 目标人群适用性(年龄、性别、生活方式)
-
知识图谱构建
- 商品品类特点
- 竞品对比优势
- 行业趋势与创新点
- 目标人群的消费心理
-
核心卖点提炼
- 3-5个最具竞争力的卖点
- 每个卖点需有具体支撑(数据、场景、体验)
- 示例:
- 自动喂食器:"定时定量喂食,APP远程控制,超大容量"
- 智能厨电:"AI智能调节,一键烹饪,节能环保"
阶段4:视频脚本与叙事
采用黄金叙事结构:痛点切入→产品展示→痛点解决
- 黄金叙事结构
- 痛点切入(3-5秒):快速引发目标人群共鸣
- 情绪化表达:展示目标人群的真实困扰
- 场景化呈现:用具体场景代入用户
- 示例:
- "上班迟到,匆匆忙忙喂完宠物就出门,担心它饿肚子"
- "忙碌一天回家,只想快速做顿饭,可传统厨电操作太复杂"
- 产品展示(5-8秒):展示产品如何解决痛点
- 功能展示:直观展示核心功能
- 使用演示:展示产品使用方法
- 优势对比:与传统方式对比
- 示例:
- "自动喂食器定时定量喂食,无论多晚回家,宠物都能按时吃饭"
- "智能厨电一键烹饪,APP远程控制,回家就能吃上热饭"
- 痛点解决(3-5秒):强化购买动机
- 结果呈现:展示使用产品后的美好生活
- 情感升华:引发用户向往
- 行动号召:引导用户购买
- 示例:
- "工作再忙也能照顾好宠物,让它健康快乐成长"
- "智能厨电让做饭变简单,享受品质生活"
- 痛点切入(3-5秒):快速引发目标人群共鸣
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 409 lines · 58 tokens per session scan A e533bc069f1e
ecommerce-video-marketing is a skill published in the GitHub repository ufy2024/AuC (1,090 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 4,897 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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