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Seek and analyze video

Skill sinhoneyy/master-skills/plugins/master-skills-marketing-growth/skills/seek-and-analyze-video

Unified skill library for Claude, Codex, Cursor, Antigravity & AI agents — 2,658 skills across 15 domains

Install
npx -y skills add sinhoneyy/master-skills --skill seek-and-analyze-video

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What its author says it does

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Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence

SKILL.md

3.9 KB, 741 tokens by cl100k_base, as published. Nobody here has run it

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

Gives 0 of the 12 instructions most research analysis skills give in 741 tokens

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-06

  • generate a markdown reportin 32 of 1063, across 17 files
  • cite each claim's sourcein 31 of 1063, across 14 files
  • define the ideal customer profilein 20 of 1063, across 2 files
  • search for companies matching the criteriain 20 of 1063, across 2 files
  • assign a fit score from one to tenin 20 of 1063, across 2 files
  • format results in a scannable markdown templatein 20 of 1063, across 2 files
  • analyze the codebase to understand the productin 19 of 1063, across 1 file
  • ask clarifying questions about the value propositionin 19 of 1063, across 1 file
  • look for signals of immediate needin 19 of 1063, across 1 file
  • identify the target decision maker rolein 19 of 1063, across 1 file
  • suggest a personalized contact strategyin 19 of 1063, across 1 file
  • provide conversation starters for outreachin 19 of 1063, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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