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.