This skill produces polished narrative summaries and timestamped event lists from recorded video clips. It prefers a local LVS summarization microservice (with a human-in-the-loop step to collect scenario/events) and falls back to a VLM-based summarizer when the service is unreachable. The skill includes routing logic, readiness probes, and curl examples to call the appropriate backend.
Use this skill when you need a concise, actionable summary of a recorded video (e.g., activity monitoring, incident review, warehouse/industrial monitoring). It is intended for post-hoc summarization of stored clips — not for live RTSP captioning or full-archive semantic search.
references/ folder with API and deployment docs for summarization, debugging, and HITL prompts./v1/ready), mandatory HITL collection for LVS path, fallback VLM prompt, and examples for calling /v1/summarize or VLM chat completions.Best used by agent runtimes that can run shell curl commands and call internal services (Claude Code / Copilot-style agents or automation runbooks). The skill expects access to network endpoints and jq/curl on the host.
NVIDIA VSS video summarization skill provides detailed instructions for calling a local LVS microservice or VLM fallback endpoint to summarize recorded video clips. The SKILL.md is extremely thorough with clear routing logic, HITL requirements, troubleshooting tables, and reference pointers. However, it requires a very specific NVIDIA VSS infrastructure stack (LVS profile, VIOS, specific models) that most users won't have deployed, making practical adoption narrow. No scripts were bundled — everything is curl-based instructions.
Well-structured skill from NVIDIA with proper frontmatter, clear routing tables, and good separation between core workflow and reference material. Shell commands use proper quoting and jq for JSON construction. No hardcoded credentials, no destructive commands, no exfiltration risks. Shell variable interpolation in curl commands is present but properly quoted through jq -n, not raw string interpolation — minimal injection risk. Skill is very domain-specific (NVIDIA VSS infrastructure) which limits broad usefulness.
MoE Expert-Parallel Overlap (Megatron-Bridge)
Guidance and configs to enable expert-parallel communication overlap in Megatron-Bridge for MoE models — use to hide dispatch/combine latency and improve throug
Megatron CI/CD Guide
Reference guide to Megatron-LM CI/CD: pipeline structure, PR scope labels, triggering internal CI, and steps for investigating CI failures.
Video Analytics (VA-MCP)
Query incidents, alerts, sensor counts and metrics from a VA-MCP Elasticsearch backend (port 9901) to answer questions about violations, occupancy, speeds, and