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Found 12 Skills
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.
Query video analytics data and metrics from Elastic search via the VA-MCP server (port 9901). This includes incidents, alerts, sensor data, and metrics. Use for any question about violations, alerts, incidents, object counts, speeds, occupancy, or anything that requires looking up recorded events. This is the primary way to answer a question that requires incidents, alerts and other metrics such as people counts and violations.
Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports.
Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for real-time alerts or ad-hoc Q&A.
Research YouTube topics, analyze competitor videos, deconstruct viral content, and query the YouTube Data API. Use when researching a video topic before planning, analyzing video transcripts for viral patterns, searching competitor channels, or fetching video and channel stats via the YouTube Data API v3.
YouTube Data API v3 via curl. Use this skill to search videos, get video/channel info, list playlists, and fetch comments.
Integrate with YouTube for video management. Use when you need to: (1) upload videos to YouTube, (2) manage channel content, or (3) retrieve video analytics and insights.
Comprehensive guide to building video applications with Mux, the developer-first video infrastructure platform. This skill covers video streaming, live streaming, player integrations, analytics with Mux Data, and AI-powered workflows. Whether you are building a video-on-demand platform, live streaming application, or integrating video into an existing product, this documentation provides the patterns and code examples needed to ship quickly.
Use when planning channel distribution and measuring video performance.
批量查询TikTok视频详情数据，包括视频描述、播放量（总量及近1天/7天/30天增量）、点赞（总量及增量）、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息（ID/账号/头像）、是否带货/投流/AI视频、关联商品与类目，支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频销量详情、TikTok视频数据分析、批量获取TikTok视频信息、EchoTik视频详情、TikTok video detail, batch video lookup, TikTok video analytics detail, TikTok video views detail, TikTok video sales detail时触发此技能。即使用户未明确提及"EchoTik"，只要其需求涉及根据视频ID或视频URL批量获取TikTok视频的详细播放与营销数据，也应触发此技能。
搜索和分析TikTok视频数据，按区域、达人、商品、类目、播放量、时长、发布时间、是否带货/投流/AI视频等条件筛选视频，返回播放量、点赞、评论、分享、收藏、视频销量与GMV等指标，覆盖16个TikTok Shop站点。当用户提到TikTok视频搜索、TikTok视频列表、TikTok带货视频、TikTok视频数据、TikTok视频播放量、TikTok视频销量、TikTok视频分析、EchoTik视频、TikTok video search, TikTok video list, TikTok video analytics, TikTok promotional videos, TikTok video views, TikTok video engagement时触发此技能。即使用户未明确提及"EchoTik"或"TikTok"，只要其需求涉及按条件搜索或分析TikTok视频表现指标，也应触发此技能。
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.