kanban-video-orchestrator

Orchestrates multi-agent video production pipelines through a Hermes Kanban board.

1|Updated Jun 19, 2026
One-click install
npx skills add https://github.com/Lento47/arcana-community --skill kanban-video-orchestrator-lento47
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kanban-video-orchestrator
Source: https://github.com/Lento47/arcana-community/tree/main/skills/creative/kanban-video-orchestrator
Command: npx skills add https://github.com/Lento47/arcana-community --skill kanban-video-orchestrator-lento47

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Producing a video that spans multiple styles and tools (ASCII, Manim, generative art, AI image-to-video, voiceover, editing) requires coordinating many specialized agents, and doing it ad hoc leads to inconsistent briefs, mismatched teams, and stalled tasks. This Skill turns any video request into a structured, monitored multi-agent production pipeline backed by Hermes Kanban. ## Core Features & Use Cases - Adaptive discovery and briefing: Asks targeted per-style intake questions (narrative, marketing, music video, explainer, ASCII, installation) and produces a confirmed brief.md contract before any work starts. - Team design and automated setup: Composes a role-based team (director, writer, renderers, voice-talent, editor, reviewer) and generates a setup.sh that creates Hermes profiles, SOUL.md files, workspace, and the initial kanban task via scripts/bootstrap_pipeline.py. - Execution monitoring and intervention: Polls the kanban with scripts/monitor.py to detect stuck, overtime, or flapping tasks and provides intervention recipes (comments, re-run tasks, dependency rewiring). - Use Case: A user asks for a 3-minute music video synced to a provided track; the Skill scopes the brief, designs a team with a music-supervisor producing beats.json plus ASCII and p5.js renderers, bootstraps the kanban, and helps monitor it to a finished final.mp4. ## Quick Start Ask the agent to plan and set up a kanban-based production pipeline for your video idea, starting with its length, style, and target platform.

Frequently Asked Questions about kanban-video-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a multi-agent video production pipeline?▼

Define a plan.json with your team, scenes, audio, and deliverables, then run scripts/bootstrap_pipeline.py to generate setup.sh. Running setup.sh creates the workspace, Hermes profiles with SOUL.md files, and fires the initial kanban task assigned to the director profile.

What rendering tools can a kanban video pipeline use?▼

Scenes route to specialized renderer profiles loading skills like ascii-video, manim-video, p5js, comfyui, touchdesigner-mcp, blender-mcp, or pixel-art. External APIs such as Runway, Kling, ElevenLabs, and Remotion handle image-to-video, voiceover, and motion graphics.

When should I not use a multi-agent video pipeline?▼

Skip it for single-tool projects like a pure ASCII video, quick one-shot conversions such as mp4-to-GIF, or static image and audio-only outputs. Those cases are handled faster by invoking the specific skill or ffmpeg directly.

How do I monitor and fix stuck kanban video tasks?▼

Run scripts/monitor.py with your project tenant to poll the board and detect stuck, overtime, or repeatedly retried tasks. Interventions include commenting feedback on the task, creating a re-run task with the original as parent, or blocking and archiving the stalled task.

Why must every kanban task pass a shared workspace path?▼

All profiles in a project share one directory workspace so artifacts like clips, audio, and specs pass between agents via the filesystem. Every kanban_create call must set workspace_kind to dir with the absolute project path, otherwise profiles are isolated and handoffs break.