growthub-hyperframes-studio-v1

Orchestrate Hyperframes video production workflows with briefs, prompt packs, and render artifacts.

48|12|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/Growthub-ai/growthub-local --skill growthub-hyperframes-studio-v1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growthub-hyperframes-studio-v1
Source: https://github.com/Growthub-ai/growthub-local/tree/main/cli/assets/worker-kits/growthub-hyperframes-studio-v1
Command: npx skills add https://github.com/Growthub-ai/growthub-local --skill growthub-hyperframes-studio-v1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a self-contained workspace for Hyperframes video production, generating implementation-ready briefs, prompt packs, and rendered segments to streamline and repeat the production workflow.

Core Features & Use Cases

  • Generates video briefs, prompt packs, and rendered segments for Hyperframes-enabled projects.
  • Maintains session memory of scene edits, per-cut render outcomes, and self-eval retries (max 3) to ensure traceability.
  • Supports operator contracts and fork-based workflows for safe, auditable production pipelines.

Quick Start

Download the Growthub Hyperframes Studio kit and run the operator to begin producing video briefs and render plans.

Frequently Asked Questions about growthub-hyperframes-studio-v1

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

FAQPage Schema
How do I automate video production workflows with deterministic scene planning?

Automate video production workflows by orchestrating end-to-end processes that generate video briefs, prompt packs, and render artifacts. This ensures deterministic planning, maintaining memory of scene edits and per-cut outcomes for verifiable repeatability across multiple sessions.

What is a video production brief and prompt pack generator?

A video production brief and prompt pack generator creates implementation-ready assets for Hyperframes-enabled projects. It streamlines the workflow by producing structured render plans and segments, ensuring every scene edit and per-cut outcome is traceable and auditable.

How do I generate render plans and evaluate per-cut outcomes across sessions?

Generate render plans and evaluate outcomes using session memory journaling and fork-trace logging. The system supports retry-enabled evaluation with a maximum of three attempts, applying operator contracts to verify per-cut render artifacts across multiple sessions.

Can I maintain session memory of scene edits for video rendering pipelines?

Yes, you can maintain session memory of scene edits for video rendering pipelines. The workflow journals every edit, per-cut render outcome, and self-eval retry to a predefined trace file path, ensuring safe, auditable, and verifiable production pipelines.

Does the video production workflow support fork-based pipelines and retry evaluation?

The video production workflow supports fork-based pipelines and retry-enabled evaluation. It implements operator contracts and fork-trace logging with a predefined trace file path, allowing safe, auditable production with up to three self-eval retries per cut.