Performs high-density targeted extraction across 10+ videos to map semantic landscapes, consensus, and controversies.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill multi-video-synthesis --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: multi-video-synthesis
description: "Performs high-density targeted extraction across 10+ videos to map semantic landscapes, consensus, and controversies."
category: media-and-creative
source_repo: google/adk-samples
source_path: "python/agents/youtube-analyst/youtube_analyst/skills/multi-video-synthesis/SKILL.md"
source_url: https://github.com/google/adk-samples/blob/HEAD/python/agents/youtube-analyst/youtube_analyst/skills/multi-video-synthesis/SKILL.md
---
### Skill: Autonomous Multi-Video Synthesis Pipeline
**Objective**: (ATTENTION GUARDIAN) Perform a high-density **Targeted Extraction** across a massive amount of video content (10+ videos) to extract the absolute truth, map the semantic landscape, and save the user from hour-long research.
**Execution Steps**:
1. **Broad Search**: Use `search_youtube` with `max_results=15` to cast a wide net across the topic.
2. **RoA Filtering (MANDATORY)**:
- Fetch details for ALL videos using `get_video_details`.
- Calculate engagement metrics with `calculate_engagement_metrics`.
- Identify the top 10 videos that have the highest "Return on Attention" (high engagement, relevant keywords, authoritative channels).
- Explicitly tell the user which videos you are ignoring and why (e.g., "Filtering out 5 videos that appear to be clickbait/low-engagement").
3. **Massive Ingestion**:
- For the top 10 videos, attempt to retrieve all transcripts using `get_video_transcript`.
- If any transcripts are unavailable, use `get_video_details` to read their metadata and descriptions as a high-signal fallback.
4. **Semantic Mapping & Synthesis**:
- Cross-reference all transcripts simultaneously.
- Map the "Semantic Vectors": Identify the **Consensus** (arguments shared by 3+ creators), the **Controversies** (conflicting viewpoints), and the **Hidden Gems** (unique insights mentioned by only one expert).
5. **Precision Targeting**:
- For every major argument or insight in your synthesis, you MUST provide at least one direct `?t=...` jump-link using `generate_timestamp_url`.
6. **Unified Report Delivery**:
- Provide a structured "Multi-Video Intelligence Briefing".
- Include a "Consensus vs. Controversy" table.
- Provide a "Clips of Interest" list with direct timestamp URLs.
- Always ask if the user wants to see a visualization of these findings (e.g., a chart of creator sentiment) or publish this to a shareable HTML report.
**Key Design Principle**: You are the orchestrator of this pipeline. You are not just summarizing videos; you are synthesizing a new, high-density knowledge artifact that does not exist elsewhere on the web.
---
**Source:** [`google/adk-samples`](https://github.com/google/adk-samples) → `python/agents/youtube-analyst/youtube_analyst/skills/multi-video-synthesis/SKILL.md`

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