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step11-packager

Build manual Step 11 refinement prompts from step10 production wraps and run context artifacts.

19|1|Updated Mar 26, 2024
Search Tags:#metadata#suno#creative pipeline#prompt packaging#audio workflow#manual refinement
One-click install
npx skills add https://github.com/LocalSymmetry/lofn --skill step11-packager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: step11-packager
Source: https://github.com/LocalSymmetry/lofn/tree/main/skills/step11-packager
Command: npx skills add https://github.com/LocalSymmetry/lofn --skill step11-packager

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns a completed creative audio run into a fully packaged manual refinement prompt, eliminating the brittle, repetitive work of assembling step context, personality YAML, Suno rules, golden references, and production mandates by hand.

Core Features & Use Cases

  • Prompt Packaging: Builds pair-specific Step 11 prompts that combine step10 output with the full run context and required supporting blocks.
  • Creative Workflow Support: Handles manual refinement handoffs for music generation pipelines that need strict formatting, Disc_Channel metadata, EMO-tagged lyrics, and provenance sections.
  • Use Case: A producer can point it at a run directory and generate paste-ready refinement prompts for each pair without manually copying files or reconstructing the structure.

Quick Start

Use the step11-packager skill to assemble a complete manual refinement prompt from the run directory, step10 output, personality YAML, Suno rules, and golden song references.

Frequently Asked Questions about step11-packager

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

FAQPage Schema
How do I assemble manual refinement prompts from step10 production wraps?▼

The step11-packager builds manual Step 11 refinement prompts by combining step10 production wraps with full run context artifacts, generating paste-ready prompts that package personality YAML, Suno construction rules, and golden song references for final handoff.

What is the best way to package Suno construction rules and personality YAML for audio workflows?▼

Packaging Suno construction rules and personality YAML involves combining them with step10 outputs and golden song references into a structured prompt, ensuring strict formatting, embedded supporting blocks, and validation requirements are met for the audio workflow.

Can I generate paste-ready prompts for multiple pairs in a creative audio pipeline?▼

Yes, you can generate paste-ready prompts for multiple pairs. The step11-packager processes a run directory to build pair-specific Step 11 prompts for each pair without manually copying files or reconstructing the structure.

Does prompt packaging support Disc_Channel structure and EMO-tagged lyrics validation?▼

Yes, prompt packaging supports Disc_Channel structure and EMO-tagged lyrics validation. The step11-packager satisfies strict formatting and validation requirements for prompt length, Disc_Channel metadata, and EMO-tagged lyrics in the final handoff.

Why does manual refinement prompt assembly require full run context artifacts?▼

Manual refinement prompt assembly requires full run context artifacts to maintain provenance and ensure the final handoff includes all necessary personality YAML, Suno rules, and production mandates for accurate audio generation.

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