Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Audit deployed Vercel apps for cost and performance issues using metrics, project config, code scans, and version-aware recommendations.
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits.
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing.
Use when working with composition-patterns tasks or workflows
Use when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug)
| 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"] |
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.
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).
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.
The agent reads the SKILL.md workflow router and matches the user's request to one of 6 intent categories.
The agent loads the appropriate reference file (e.g., video_qa.md for video questions, social_research.md for social media research).
The agent follows the step-by-step workflow: upload/import -> wait for processing -> analyze/chat -> present results.
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
User: "What's trending on TikTok about sustainable fashion?"
Agent: uses search_public to find trending videos -> imports top results -> analyzes content patterns
User: "Summarize this meeting recording and extract action items"
Agent: uploads recording -> waits -> gets transcript -> uses chat_video for structured summary with action items
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