analyzing-videos

yikart/AiToEarn · Agent Skill

Analyzes video content, extracting highlights, creating summaries, and generating keywords for better understanding.

Overview

Publisher	yikartOrganization
Repository	yikart/AiToEarn ↗
Skill folder	`analyzing-videos`
Stars	25,856
Bundled files	1
License	MIT
Last updated	March 16, 2026
Links	Skill source ↗ · Repository ↗

Mozgi check

What we found in the skill files. Details come with a subscription.

Security

low risk · no obvious risks found — the full report shows the details

Compatibility

instructions only — works with most agents

Similar skills

72 similar skills found

Also with subscription

Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

Install the “analyzing-videos” skill from mozgi.io (https://mozgi.io/skills/analyzing-videos/) for me.

1. Download the archive: https://mozgi.io/skills/analyzing-videos/download
   If it fails, take the skill folder from the source: https://github.com/yikart/AiToEarn/tree/main/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/analyzing-videos
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “analyzing-videos” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/analyzing-videos/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn
mkdir -p .claude/skills
cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/analyzing-videos .claude/skills/analyzing-videos

Restart Claude Code — the skill appears in the list; call it manually with /analyzing-videos. For all projects use ~/.claude/skills.

git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn
mkdir -p .agents/skills
cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/analyzing-videos .agents/skills/analyzing-videos

Codex looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $analyzing-videos. For all projects use ~/.agents/skills.

git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn
mkdir -p .cursor/skills
cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/analyzing-videos .cursor/skills/analyzing-videos

Cursor picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.cursor/skills.

git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn
mkdir -p .gemini/skills
cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/analyzing-videos .gemini/skills/analyzing-videos

Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.

Review the source files

1 file Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

Video Analysis

Analyzes video content for understanding and extracts highlight clips using AI multimodal analysis.

When to Use

Use this skill when:

Analyzing video content for summary
Extracting highlight/exciting moments
Generating video keywords and tags
Creating trailers from longer videos
Understanding plot and storyline
Finding viral-worthy moments

Analysis Capabilities

Visual Analysis: Scene detection, object recognition, action identification
Audio Analysis: Speech recognition, music detection, sound effects
Language Understanding: Dialogue analysis, sentiment detection
Multimodal Fusion: Combines all modalities for comprehensive understanding

Workflow

Step 1: Get Source Video

Obtain the video URL to analyze.

Step 2: Submit Analysis Task

Call submitAideoTask with appropriate prompt:

For understanding: "Analyze and summarize this video"
For highlights: "Extract the most exciting moments"

Step 3: Poll for Results

1. First check: Wait 210 seconds after submission

2. Subsequent checks: Wait 30 seconds between polls

3. Call getAideoTaskStatus to check progress

Step 4: Timeout Handling

Maximum wait time: 20 minutes

If task exceeds 20 minutes, report as timeout failure.

Step 5: Return Results

Results vary by task type:

Understanding: Summary, keywords, plot analysis (JSON)
Highlights: Array of highlight clip URLs

Examples

Example 1: Extract Highlights

User request: "Create a 30-second highlight reel from this video"

submitAideoTask:
  prompt: "Extract the most exciting moments from this video to create a 30-second highlight compilation"
  multiInputs: ["source_video.mp4"]

Example 2: Video Understanding

User request: "Analyze this video and give me a summary"

submitAideoTask:
  prompt: "Analyze this video content and generate: summary, keywords, and plot analysis"
  multiInputs: ["video.mp4"]

Example 3: Create Trailer

User request: "Make a trailer from this long video"

submitAideoTask:
  prompt: "Extract the most engaging and exciting moments to create a compelling trailer"
  multiInputs: ["long_video.mp4"]

Example 4: Find Viral Moments

User request: "Find the best clips for social media"

submitAideoTask:
  prompt: "Identify and extract the most viral-worthy moments from this video for social media"
  multiInputs: ["content_video.mp4"]

Output Types

Highlight Extraction

Returns array of clip URLs
Each clip contains exciting/engaging moment
Clips can be used directly or further edited

Video Understanding

Summary: Brief description of video content
Keywords: Relevant tags and topics
Plot Analysis: Story structure and key events

Important Notes

Maximum video length: 2 hours
Maximum wait time: 20 minutes
Highlight extraction returns multiple clip URLs
Understanding returns JSON with summary, keywords, plot
Processing time: ~10 minutes per 1-minute video

Frequently asked questions

What does the analyzing-videos skill do?

Analyzes video content, extracting highlights, creating summaries, and generating keywords for better understanding.

How do I install analyzing-videos?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with analyzing-videos?

Skills are plain Markdown instructions (the Agent Skills format), so analyzing-videos works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is analyzing-videos free?

The skill is published openly by yikart under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

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