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Search indexed videos using natural language. Use when the user wants to find specific content, moments, or scenes in their indexed videos. Triggers on phrases like "find the part where...", "search for...", "look for...", "where does...", "when does...".

DeepseekModel 官方收录技能 质量 良好 · 64 v1.0.0

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https://deepseekmodel.com/api/download.php?id=twelvelabs-io-twelve-labs-claude-code-plugin-skills-search-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 search description Search indexed videos using natural language. Use when the user wants to find specific content, moments, or scenes in their indexed videos. Triggers on phrases like "find the part where...", "search for...", "look for...", "where does...", "when does...". Search Videos Using Natural Language Search indexed videos using natural language descriptions. TwelveLabs interprets your query to find matching content based on visual elements, actions, sounds, and on-screen text. When to Use This Skill Use this skill when the user: Asks to find something in a video ("find the part where someone laughs") Wants to search for content ("search for a red car") Asks about when/where something happens ("when does the presenter mention AI?") Describes a scene they want to locate ("look for the sunset scene") Instructions Step 1: Extract the Search Query Identify what the user wants to find from their natural language request. Convert their question into a search query. Examples : "Find the part where someone is walking" → query: "a person walking" "When does the presenter talk about AI?" → query: "presenter talking about AI" "Look for any red cars in my videos" → query: "red car" Step 2: Call the Search MCP Tool Use the mcp__twelvelabs-mcp__search tool: Tool: mcp__twelvelabs-mcp__search Parameters: query: "<extracted search query>" Note : The search is performed across all videos in the default index. To search a specific index, provide the optional indexId parameter. Step 3: Display Search Results Format the search results clearly for the user. The search returns matching segments with timestamps. For each video with matching segments, display : Filename of the video (if available) URL of the video stream (if available) Bulleted list of start and end times for matching segments Example output with results : Found matches for: "a person walking" **video_filename.mp4** Stream: https://stream.url/video.m3u8 Matching segments: - 00:12 - 00:28 (16 seconds) - 01:45 - 02:03 (18 seconds) - 03:30 - 03:45 (15 seconds) **another_video.mp4** Stream: https://stream.url/another.m3u8 Matching segments: - 00:05 - 00:15 (10 seconds) Found 4 matching segments across 2 videos. Example output with no results : No matching content found for: "a person walking" Tips: - Try different keywords or descriptions - Use broader search terms - Make sure your videos are fully indexed Step 4: Format Timestamps Convert timestamps to human-readable format: For timestamps under 1 hour: MM:SS (e.g., 01:45 ) For timestamps 1 hour or more: HH:MM:SS (e.g., 1:23:45 ) Calculate segment duration as end_time - start_time and display in parentheses. How TwelveLabs Search Works TwelveLabs uses multimodal AI to understand video content: Visual : Objects, scenes, colors, people, actions Audio : Speech, music, sounds Text : On-screen text, captions, titles The search interprets natural language queries and finds segments that match across all these modalities. Important Notes Indexed Videos Only : Search only works on videos that have been fully indexed Default Index : Searches the default index unless specified otherwise Segment Precision : Results show specific time ranges where content matches
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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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