---
name: run-server-side-ingest-search-and-edit-pipelines-on-84ca125d195b
slug: "run-server-side-ingest-search-and-edit-pipelines-on-video-with-videodb-skills"
description: "Let an agent ingest video, transcribe it, search moments, clip results, and return playable streams without wiring up its own media pipeline."
github_stars: 73
verification: "security_reviewed"
source: "https://github.com/video-db/skills"
author: "VideoDB"
publisher_type: "organization"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "video-db/skills"
  github_stars: 73
---

# Run server-side ingest, search, and edit pipelines on video with VideoDB Skills

Let an agent ingest video, transcribe it, search moments, clip results, and return playable streams without wiring up its own media pipeline.

## Prerequisites

Python 3.9+, a VideoDB API key, network access to VideoDB services, and an agent that can load the skills repo

## Installation

Use the upstream install or setup path that matches your environment:
- npx skills add video-db/skills

Requirements and caveats from upstream:
- [![Issues](https://img.shields.io/github/issues/video-db/videodb-python.svg?style=for-the-badge)](https://github.com/video-db/videodb-python/issues)
- Get started in two quick steps. Open your AI coding agent (Requires **Python 3.9+**) and follow along.

Basic usage or getting-started notes:
- VideoDB Skills lets your AI coding agent run end to end, server-side video workflows in real time and batch:
- Run reliable, scalable, cost efficient workflows across realtime streams and batch video, with built in AI understanding, without wiring up ffmpeg glue.

- Source: https://github.com/video-db/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/video-db/skills/HEAD/README.md

## Documentation

- https://docs.videodb.io

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-server-side-ingest-search-and-edit-pipelines-on-video-with-videodb-skills/)


---
Source attribution: agentskillexchange
Original project: https://github.com/agentskillexchange/skills/blob/7964af467fccaf7d68a4b705bb2e26081fbdd3e8/skills/run-server-side-ingest-search-and-edit-pipelines-on-video-with-videodb-skills/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Agent Skill Exchange

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: agentskillexchange
Original project: https://github.com/agentskillexchange/skills/blob/7964af467fccaf7d68a4b705bb2e26081fbdd3e8/skills/run-server-side-ingest-search-and-edit-pipelines-on-video-with-videodb-skills/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Development & Engineering, Product Management
Roles: Backend Developer, Data Engineer, ML / AI Engineer, Product Manager, Video Producer
Specialties: API, Backend
Tools: GitHub, Videodb
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 6ac587505d20dca700909565168fa6f37bdfb9e375be8b79b38226271084ceb2