media-production-orchestrator

Orchestrates a staged pipeline for AI video generation, review, and web integration.

Updated Jun 12, 2026
One-click install
npx skills add https://github.com/oleyna80/agentic-sdlc-framework --skill media-production-orchestrator-oleyna80
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: media-production-orchestrator
Source: https://github.com/oleyna80/agentic-sdlc-framework/tree/main/skills/media-production-orchestrator
Command: npx skills add https://github.com/oleyna80/agentic-sdlc-framework --skill media-production-orchestrator-oleyna80

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? AI video generation often happens ad hoc: prompts go straight to a paid API with no rights checks, no budget control, and no quality review. This Skill replaces that with a controlled ten-stage pipeline covering briefing, rights preflight, prompting, provider selection, generation, QC, post-production, and web integration. ## Core Features & Use Cases - Staged production pipeline: Routes work through need assessment, brief, rights preflight, creative development, prompt engineering, provider routing, generation, QC, post-production, integration, and closeout, with dedicated sub-skills per stage. - Budget and rights gates: Blocks any paid generation call unless provider, model, candidate count, cost, source rights, and commercial terms are all approved, and requires human approval before publishing. - Standardized artifacts: Defines a workspace layout (brief.md, rights-check.md, generation-manifest.json, candidates/, review/, delivery/) plus YAML contracts for briefs, provider decisions, manifests, reviews, and closeout. - Use Case: A team needs a looping hero video for a homepage. The Skill assesses whether motion adds value, clears asset rights, selects an approved provider within budget, generates candidates, rejects outputs with flicker or text artifacts, and delivers optimized web-ready variants with reduced-motion fallbacks. ## Quick Start Use the media-production-orchestrator skill to plan and produce a short looping hero video for my homepage, including rights checks, provider selection, quality review, and web integration.

Frequently Asked Questions about media-production-orchestrator

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

FAQPage Schema
How do I create an AI-generated hero video for a website?▼

Run the staged pipeline: assess whether motion adds value, write a structured brief, clear source-asset rights, build the prompt, select an approved provider, generate candidates, then review and integrate with accessibility and reduced-motion support.

How do I control costs when using AI video generation APIs?▼

Use a budget gate before every paid call confirming provider, model, candidate count, and estimated cost are approved. Record costs in a generation manifest and never use an expensive fallback without updating the estimate.

What rights checks are needed before publishing AI-generated video?▼

Verify source-asset ownership, the model's commercial-use terms, watermark policy, and consent for identifiable people. Block generation or publication when any rights status is unresolved, and require human approval before production release.

Why do AI video outputs get rejected in quality review?▼

Outputs are rejected for identity drift, geometry drift, text artifacts, flicker, unsafe content, unusable safe zones, or loop discontinuity. A rejected output returns to the smallest responsible stage rather than restarting the whole pipeline.

When should I use CSS or Lottie animation instead of generative video?▼

Choose conventional editing, Rive/Lottie, CSS/GSAP, or a static image when the need assessment shows generative video adds no clear communication or business value. The pipeline stops early if motion is unjustified.