kanban-video-orchestrator

name	kanban-video-orchestrator
description	Plan and run multi-agent video production pipelines.
version	1.0.0
author	["SHL0MS","alt-glitch"]
license	MIT
platforms	["linux","macos","windows"]
metadata	{"hermes":{"tags":["video","kanban","multi-agent","orchestration","production-pipeline"],"related_skills":["ascii-video","manim-video","p5js","comfyui","touchdesigner-mcp","pixel-art","ascii-art","songwriting-and-ai-music","heartmula","songsee","youtube-content","claude-design","excalidraw","architecture-diagram","concept-diagrams","baoyu-comic","baoyu-infographic","humanizer","gif-search","meme-generation"],"credits":"The single-project workspace layout, profile-config patching pattern,\nSOUL.md-per-profile model, TEAM.md task-graph convention, and\n`--workspace dir:/abs/path` discipline are adapted from alt-glitch's\noriginal multi-agent video pipeline at\nhttps://github.com/NousResearch/kanban-video-pipeline.\n"}}

Kanban Video Orchestrator

Wrap any video request — from a 15-second product teaser to a 5-minute narrative short to a music video to an ASCII loop — in a Ouro Kanban pipeline that decomposes the work to specialized agent profiles.

This skill does not render anything itself. It is a meta-pipeline that:

1. Scopes the request through targeted discovery
2. Designs an appropriate team (which roles, which tools per role) based on the style
3. Generates a setup script that creates Ouro profiles, project workspace, and the initial kanban task
4. Hands off to the director profile, which decomposes via the kanban
5. Monitors execution, helps intervene when tasks stall or fail

The actual rendering happens inside the kanban once it's running, via whichever existing skills + tools fit the scenes — ascii-video, manim-video, p5js, comfyui, touchdesigner-mcp, songwriting-and-ai-music, heartmula, external APIs, or plain Python with PIL + ffmpeg.

When NOT to use this skill

• The video is one continuous procedural project that needs no specialists. Just write the code directly.
• The user wants a quick one-shot conversion (e.g. "convert this mp4 to a GIF") — use ffmpeg directly.
• The output is a static image, GIF, or audio-only artifact — use the matching specific skill (ascii-art, gifs, meme-generation, songwriting-and-ai-music).
• The work fits a single existing skill cleanly (e.g. a pure ASCII video — just use ascii-video).

Workflow

DISCOVER  →  BRIEF  →  TEAM DESIGN  →  SETUP  →  EXECUTE  →  MONITOR

Step 1 — Discover (ask the right questions)

The discovery process is adaptive: ask only what is actually needed. Always start with three questions to identify the broad shape:

• What is the video? (one-sentence brief)
• How long? (5-30s teaser / 30-90s short / 90s-3min explainer / 3-10min film / longer)
• What aspect ratio + target platform? (1:1 / 9:16 / 16:9; X, IG, YouTube, internal, etc.)

From the answer, classify the style category. The style determines which follow-up questions to ask. Ask 2-4 at a time, listen, then proceed. Make reasonable assumptions whenever the user implies an answer.