seek-and-analyze-video
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
#ai #video
Install
npx skills add https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/seek-and-analyze-video
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install sickn33-agentic-awesome-skills@llmmart
git clone https://github.com/sickn33/agentic-awesome-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole sickn33/agentic-awesome-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
waitcommand after upload before any analysisProblem: Uploading a video when only a quick caption is needed Solution: Use
caption_videofor 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
Files (agentic-awesome-skills)
-
SKILL.md 3.9 KB
--- name: seek-and-analyze-video description: "Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence" category: data-ai risk: safe source: "https://github.com/kennyzheng-builds/seek-and-analyze-video" date_added: "2026-03-09" author: kennyzheng-builds tags: [video, ai, memories, social-media, youtube, tiktok, analysis] tools: [claude, cursor, gemini] --- ## 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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