lofn-core

Generate Lofn creative briefs and dispatch packets for multimodal art pipelines.

19|1|Updated Mar 26, 2024
One-click install
npx skills add https://github.com/LocalSymmetry/lofn --skill lofn-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lofn-core
Source: https://github.com/LocalSymmetry/lofn/tree/main/skills/lofn-core
Command: npx skills add https://github.com/LocalSymmetry/lofn --skill lofn-core

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Lofn-Core turns a raw creative request into structured, research-grounded direction for a multimodal art pipeline. It helps you choose a proven winning seed pattern, align the request to the right creative archetype, and package a clean dispatch brief for the next stage.

Core Features & Use Cases

  • Golden seed selection: Matches the task to the closest proven pattern from the living seed archive.
  • Research-to-brief synthesis: Converts current world/context research into a concise creative brief and neutral orchestrator handoff.
  • Panel and personality handoff: Supports the broader Lofn workflow by preparing inputs for personality selection, panel debate, and downstream generation.
  • Pipeline support: Includes config and runner utilities plus validation helpers for seed packets and skill architecture.
  • Use case: A creator asks for a new image, song, story, or video run; this skill finds the best seed lineage, extracts the right constraints, and prepares the run for orchestration.

Quick Start

Use the lofn-core skill to analyze the request, choose the closest golden seed pattern, and write a neutral dispatch brief for the orchestrator.

Frequently Asked Questions about lofn-core

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

FAQPage Schema
How do I turn research notes into a creative brief for multimodal art generation?

A creative brief for multimodal pipelines requires matching your request to a proven winning seed pattern. This aligns the task to a creative archetype and packages a clean dispatch brief for the next generation stage.

What is the best way to select golden seeds for an image or video run?

Golden seed selection matches your creative request to the closest proven winning pattern from a living archive. This aligns the task to the correct archetype and packages pipeline-safe constraints for the generation run.

How do I prepare panel orchestration inputs for a multimodal pipeline?

You prepare panel orchestration inputs by reading personality and panel references to produce neutral handoff instructions. This formats the dispatch brief for downstream personality selection, panel debate, and generation.

Can I use research synthesis for both story and music creative runs?

Yes, research synthesis applies to image, music, story, and video runs. It converts world context research into a concise creative brief and neutral orchestrator handoff for any multimodal format.

Does prompt engineering require reading personality references to produce neutral handoff instructions?

Yes, producing neutral handoff instructions requires reading personality and panel references. This ensures the dispatch brief contains pipeline-safe constraints for downstream generation.