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twelvelabs-video-understanding

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Use when an agent must make TwelveLabs do real video-understanding work: indexing footage, semantic/visual search across an archive, generating descriptions, summaries, chapters, highlights, and tags from video, producing multimodal embeddings, or wiring TwelveLabs into a media-production pipeline (NLE panels, logging, compliance review, metadata). Covers the current model families (Marengo for search/embeddings, Pegasus for video-to-text analysis), the v1.3 Video Understanding API (indexes, assets, tasks, search, analyze, embed), prompt construction for analysis, capability and format limits, pricing/quota math, output quality review (hallucination and timestamp accuracy), and privacy/rights obligations when footage shows real people. Not for generating or editing video pixels — this is analysis and retrieval.

skills/providers/video-understanding/twelvelabs-video-understanding/SKILL.md

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Jul 14, 2026
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# TwelveLabs video understanding

TwelveLabs builds **video foundation models** that read footage the way a human editor does — across visuals, on-screen text, motion, sound, speech, and music — and expose that understanding through a REST API, SDKs (Python, Node), an MCP server, and NLE plugins. This skill is for driving that platform to log, search, describe, segment, and tag video for production work. It is **not** a video *generator*; TwelveLabs does not synthesize or edit pixels.

All volatile facts below carry a **verification date**. Everything moves fast here — re-verify model names, limits, and pricing against `docs.twelvelabs.io` before quoting them to a user as current.

## When this skill applies

Reach for TwelveLabs when the job is any of:

- **Archive / footage search** — "find every shot where the CEO is on stage," "clips with a red car at night," "where does someone say 'quarterly earnings'." Natural-language, image, or combined queries against indexed video.
- **Logging & tagging** — auto-generate loggable metadata (who/what/where/action) for raw footage or dailies.
- **Segmentation** — chapters, scene breaks, highlights, speaker changes, sports plays, ad-break points.
- **Video-to-text** — summaries, descriptions, captions, Q&A over a clip, structured JSON extraction (e.g. shot lists, compliance flags).
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