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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 キュレーション済みスキル 品質 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
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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