| name | kanban-video-orchestrator |
| description | Plan, set up, and monitor a multi-agent video production pipeline backed by Hermes Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates Hermes profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever Hermes rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed. |
| 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","blender-mcp","pixel-art","ascii-art","songwriting-and-ai-music","heartmula","songsee","spotify","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:<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 Hermes Kanban pipeline that
decomposes the work to specialized agent profiles.
This skill does not render anything itself. It is a meta-pipeline that:
- Scopes the request through targeted discovery
- Designs an appropriate team (which roles, which tools per role) based on the style
- Generates a setup script that creates Hermes profiles, project workspace, and the initial kanban task
- Hands off to the director profile, which decomposes via the kanban
- 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, blender-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.
