Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .claude/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .agents/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .cursor/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .gemini/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .github/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "seek-and-analyze-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/seek-and-analyze-video into .opencode/skills/seek-and-analyze-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seek-and-analyze-video", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
seek-and-analyze-video
GitHub stars
2.2k
Token cost
~3.5k tokens
SKILL.md length
1,248 words
Files
5 (incl. references, assets)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT
At a glance
Video intelligence and content analysis using Memories.ai LVMM.
Works in 3 steps: Current State → Goals → Video-Specific Context
Competitor content analysis
SKILL.md covers Before Starting, How This Skill Works, Core Workflows and Command Reference, plus 6 more sections
Runs Python scripts from its folder; calls claude and git; reaches github.com and youtube.com; needs MEMORIES_API_KEY
What it does
Seek And Analyze Video is an agent skill from LeoYeAI/openclaw-master-skills. Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, summarize meetings, build searchable knowledge bases across multiple videos. Use for video research, competitor content analysis, meeting notes, lecture summaries, or building video knowledge libraries.
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `_meta.json`, `assets/example-workflow.py` and `references/api-commands.md`).
It sits in Knowledge Management, covering Knowledge bases and Meeting notes and agendas. It works with Instagram, TikTok and YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
Competitor content analysis
Lecture summaries
Building video knowledge libraries
Example prompts
“/seek-and-analyze-video”
Requirements
Python 3
A credential in MEMORIES_API_KEY
Workflow steps
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
claude
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
youtube.com
Also links to:
memories.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
MEMORIES_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Seek And Analyze Video loads about 3.5k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,248 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~95
When it runs· the whole SKILL.md, loaded when a task matches
~3.5k
With references· SKILL.md plus every file in references/, read only if the agent opens them
~11k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/seek-and-analyze-video/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
seek-and-analyze-video
description
Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, summarize meetings, build searchable knowledge bases across multiple videos. Use for video research, competitor content analysis, meeting notes, lecture summaries, or building video knowledge libraries.
license
MIT
metadata.version
1.0.0
metadata.author
Kenny Zheng
metadata.category
marketing-skill
metadata.updated
2026-03-09
triggers
analyze video, video content analysis, summarize video, meeting notes from video, search TikTok videos, search YouTube videos, video knowledge base…
Seek and Analyze Video
You are an expert in video intelligence and content analysis. Your goal is to help users discover, analyze, and build knowledge from video content across social platforms using Memories.ai's Large Visual Memory Model (LVMM).
Before Starting
Check for context first:
If marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
API Setup Required:
This skill requires a Memories.ai API key. Guide users to:
# Find competitor content
videos = search_social("tiktok", "#SaaSmarketing", count=20)
# Analyze top performers
for video in videos[:5]:
import_video(video['url'])
# Cross-video analysis
insights = chat_personal("What content themes are working?")
Workflow 3: Build Video Knowledge Base
When to use: User needs searchable library across multiple videos
Process:
Import videos with tags for organization
Store supplementary text memories (notes, insights)
Enable cross-video semantic search
Query entire library for insights
Example:
python
# Import video library with tags
import_video(url1, tags=["product-demo", "Q1-2026"])
import_video(url2, tags=["product-demo", "Q2-2026"])
# Store text insights
create_memory("Key insight from demos...", tags=["product-demo"])
# Query across all tagged content
insights = chat_personal("Compare Q1 vs Q2 product demos")
Workflow 4: Extract Meeting Notes
When to use: User needs structured notes from recorded meetings or lectures
BOTTOM LINE: Competitor X focuses on product demos (60%) and customer stories (30%)
WHAT:
• 18/30 videos are product demos with detailed walkthroughs — 🟢 verified
• 9/30 videos are customer success stories with ROI metrics — 🟢 verified
• Average video length: 3:24 (demos), 2:15 (stories) — 🟢 verified
• Consistent posting: 2-3 videos/week on Tuesday/Thursday — 🟢 verified
WHY THIS MATTERS:
They're driving bottom-of-funnel conversions with proof over awareness content.
Your current 80% thought leadership leaves conversion gap.
HOW TO ACT:
1. Create 10 product demo videos → [Owner] → [2 weeks]
2. Record 5 customer case studies → [Owner] → [3 weeks]
3. Test demo video performance vs current content → [Owner] → [4 weeks]
YOUR DECISION:
Option A: Match their demo focus — higher conversion, lower reach
Option B: Hybrid approach (50% demos, 50% thought leadership) — balanced
# Via Claude Code
claude skill install kennyzheng-builds/seek-and-analyze-video
# Or manual
git clone https://github.com/kennyzheng-builds/seek-and-analyze-video.git
export MEMORIES_API_KEY=your_key_here
Pricing:
Free tier: 100 credits (testing and light use)
Plus: $15/month for 5,000 credits (power users)
Supported Platforms:
YouTube (all public videos)
TikTok (public videos)
Instagram (public videos and reels)
Vimeo (public videos)
Key Differentiators
vs ChatGPT/Gemini Video Analysis:
Persistent memory (query anytime, not just during upload)
Cross-video search (query 100s of videos simultaneously)
Social media discovery (find videos, don't just analyze provided URLs)
Knowledge base building (organize with tags, semantic search)
vs Manual Video Research:
40x faster video analysis
Automatic transcript + visual description
Semantic search across libraries
Scalable to hundreds of videos
vs Traditional Video Tools:
AI-native queries (ask questions vs manual review)
Cross-platform support (TikTok, YouTube, Instagram unified)
Zero-dependency Python client (works across Claude Code, OpenClaw, HappyCapy)
Workflow automation (upload → analyze → store in one command)
Best Practices
Tagging Strategy
Use consistent tag naming (kebab-case recommended)
Tag by: content-type, date-range, platform, topic, campaign
Seek And Analyze Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Seek And Analyze Video compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Seek And Analyze Video this skillLeoYeAI/openclaw-master-skills
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Video intelligence and content analysis using Memories.ai LVMM. Seek And Analyze Video is an agent skill from LeoYeAI/openclaw-master-skills.ai LVMM.
When should I use Seek And Analyze Video?
Seek And Analyze Video fits situations like: competitor content analysis; lecture summaries; building video knowledge libraries.
How do I install Seek And Analyze Video in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a claude-code`. Or copy the skill folder (skills/seek-and-analyze-video in LeoYeAI/openclaw-master-skills) into .claude/skills/seek-and-analyze-video in your project. Claude Code loads it when a task matches its description.
How do I install Seek And Analyze Video in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a codex`. Or copy the skill folder (skills/seek-and-analyze-video in LeoYeAI/openclaw-master-skills) into .agents/skills/seek-and-analyze-video in your project. Codex loads it when a task matches its description.
Can I use Seek And Analyze Video in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill seek-and-analyze-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seek-and-analyze-video, .gemini/skills/seek-and-analyze-video, .github/skills/seek-and-analyze-video and .opencode/skills/seek-and-analyze-video in your project.
What does Seek And Analyze Video need to run?
Going by SKILL.md and its folder, Seek And Analyze Video needs Python for the scripts in its folder, the command-line tools its instructions call (claude and git) and credentials named MEMORIES_API_KEY. Our summary lists: Python 3; A credential in MEMORIES_API_KEY.
Does Seek And Analyze Video access the network?
SKILL.md names 3 domains. In commands or code: github.com and youtube.com; the agent is likely to contact these when it follows the instructions. As links in the text: memories.ai. This is read from the text; nothing was executed.
Is Seek And Analyze Video safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Seek And Analyze Video use?
Seek And Analyze Video is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Seek And Analyze Video use?
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.2k tokens, read only when the agent opens those files.
What are the alternatives to Seek And Analyze Video?
Skills that share tags, products or a category with Seek And Analyze Video: Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars), Multi Platform Search Searchapi (gooseworks-ai/goose-skills, 1.2k stars), Company Brain (coreyhaines31/makerskills, 851 stars) and Channel To Kb (coleam00/cole-medin-knowledge-base, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Seek And Analyze Video?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.