seek-and-analyze-video
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Best use case
seek-and-analyze-video is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "seek-and-analyze-video" skill to help with this workflow task. Context: Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/seek-and-analyze-video/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How seek-and-analyze-video Compares
| Feature / Agent | seek-and-analyze-video | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## When to Use Use this skill when the user wants to search for, import, or analyze video content from TikTok, YouTube, or Instagram, summarize meetings or lectures from recordings, build a searchable knowledge base from video content, or research social media trends and creators. # Seek and Analyze Video ## Description This skill enables AI agents to search, import, and analyze video content using Memories.ai's Large Visual Memory Model (LVMM). Unlike one-shot video analysis tools, it provides persistent video intelligence -- videos are indexed once and can be queried repeatedly across sessions. Supports social media import (TikTok, YouTube, Instagram), meeting summarization, knowledge base building, and cross-video Q&A via Memory Augmented Generation (MAG). ## Overview The skill wraps 21 API commands into workflow-oriented reference guides that agents load on demand. A routing table in SKILL.md maps user intent to the right workflow automatically. ## When to Use This Skill - Use when analyzing or asking questions about a video from a URL - Use when searching for videos on TikTok, YouTube, or Instagram by topic, hashtag, or creator - Use when summarizing meetings, lectures, or webinars from recordings - Use when building a searchable knowledge base from video content and text memories - Use when researching social media content trends, influencers, or viral patterns - Use when analyzing or describing images with AI vision ## How It Works ### Step 1: Intent Detection The agent reads the SKILL.md workflow router and matches the user's request to one of 6 intent categories. ### Step 2: Reference Loading The agent loads the appropriate reference file (e.g., video_qa.md for video questions, social_research.md for social media research). ### Step 3: Workflow Execution The agent follows the step-by-step workflow: upload/import -> wait for processing -> analyze/chat -> present results. ## Examples ### Example 1: Video Q&A ``` User: "What are the key arguments in this video? https://youtube.com/watch?v=abc123" Agent: uploads video -> waits for processing -> uses chat_video to ask questions -> presents structured summary ``` ### Example 2: Social Media Research ``` User: "What's trending on TikTok about sustainable fashion?" Agent: uses search_public to find trending videos -> imports top results -> analyzes content patterns ``` ### Example 3: Meeting Notes ``` User: "Summarize this meeting recording and extract action items" Agent: uploads recording -> waits -> gets transcript -> uses chat_video for structured summary with action items ``` ## Best Practices - Always wait for video processing to complete before querying - Use caption_video for quick analysis (no upload needed) - Use chat_video for deep, multi-turn analysis (requires upload) - Use search_audio to find specific moments or quotes in a video - Use memory_add to store important findings for later retrieval ## Common Pitfalls - **Problem:** Querying a video before processing completes **Solution:** Always use the `wait` command after upload before any analysis - **Problem:** Uploading a video when only a quick caption is needed **Solution:** Use `caption_video` for one-off analysis; only upload for repeated queries ## Limitations - Video processing takes 1-5 minutes depending on length - Free tier limited to 100 credits - Social media import requires public content - Audio search only works on processed videos ## Related Skills - Video analysis tools for one-shot analysis - Web search skills for non-video content research
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