Lofn Music Pipeline

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Generates producer-grade Suno music prompts, structured lyrics, and comprehensive song production packages through a multi-step deterministic audio pipeline.

Lofn Music Pipeline is an advanced audio workflow orchestrator designed to eliminate creative drift and context collapse in AI music generation. Operating across a multi-step split-agent state graph, it guides Claude Code through research briefs, panel-of-experts debates, and rigorous synthesis stages to craft dense, publication-ready Suno prompts, exclude tokens, and EMO-tagged lyric sheets with Disc_Channel spatial layouts. Ideal for professional sound designers, AI music creators, and creative directors, this skill enforces strict technical gates—including hard character caps, acoustic bans, and golden song calibrations—to deliver predictable, hit-quality audio deliverables.

主要功能

01Multi-step split-agent music pipeline architecture (Steps 00–12) with full context injection
02Scientist-gated panel prompt audit simulating legendary producers like Eno, SOPHIE, and Albini
0324 GitHub stars
04Structured lyric generation featuring Theme, Song Form, EMO register headers, and Disc_Channel spatial tags
05Built-in QA validation against a 5,000-character Suno hard limit and strict acoustic rules
06Optimized Suno prompt construction enforcing dense paragraph formatting and token negative-exclusions

使用场景

01Drafting production-ready lyrics with vocal registers, embodied cues, and spatial channel arrangements
02Running automated peer-review prompt audits against reference catalogs to improve AI audio fidelity
03Generating commercially viable, producer-grade Suno prompt packages for complex song concepts