vss-summarize-video

Summarize video clips via LVS HITL microservice with VLM fallback.

Updated May 29, 2026
One-click install
npx skills add https://github.com/rblake2320/vigil --skill vss-summarize-video-rblake2320
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vss-summarize-video
Source: https://github.com/rblake2320/vigil/tree/main/.claude/skills/vss-summarize-video
Command: npx skills add https://github.com/rblake2320/vigil --skill vss-summarize-video-rblake2320

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Automates video summarization by routing clips through a HITL-enabled LVS workflow, with a fall-back path to a VLM to ensure summaries are always produced even when LVS is unavailable.

Core Features & Use Cases

  • HITL-guided video summarization via LVS for high-quality, explainable outputs.
  • Automatic fallback to a VLM when LVS is unavailable, ensuring continuity.
  • Configurable scenario and events to surface, with options for chunking, frames, and objects of interest.

Quick Start

Describe a video summary by providing a scenario and events for the LVS path first, with a VLM fallback if LVS is unavailable.

Frequently Asked Questions about vss-summarize-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate video summarization with human-in-the-loop review for incident reporting?

Automated video summarization routes clips through a human-in-the-loop LVS workflow, enabling scenario-driven event extraction for incident reporting. You provide a scenario and target events, and the workflow outputs structured summaries.

Can I generate video summaries when the LVS microservice is unavailable?

Video summaries are always produced even when LVS is unavailable by automatically falling back to a VLM. This fallback path ensures continuity for your video analytics workflow without manual intervention.

How do I configure chunking, frames, and objects of interest for video event extraction?

Video event extraction supports configurable chunking, frames, and objects of interest through scenario-driven inputs. You define the specific scenarios and events to surface, and the summarization logic processes the video accordingly.

What is the difference between using LVS and a VLM for video analytics workflows?

LVS provides human-in-the-loop guided video summarization for high-quality, explainable outputs, while the VLM fallback automatically processes clips when LVS is unavailable. The routing logic prioritizes LVS for readiness and falls back to VLM for continuity.

Does video summarization support structured output handling for security and safety workflows?

Video summarization supports structured output handling tailored for safety, security, and incident reporting workflows. It satisfies integration requirements for model selection and LVS readiness while extracting scenario-driven events from the provided clips.