suno-upload_skill

Overview

This skill automates uploading a Suno prompt.md file to suno.com with no human intervention. It parses the prompt file, opens the Suno Create interface in Chrome, fills every form field (including custom React sliders) using coordinate-based dragging, and submits the job for song generation. Use it to reliably push generated prompts to Suno at scale.

How this skill works

The skill locates prompt.md files, extracts YAML frontmatter, the structured prompt block, lyrics, model, and parameters. It starts a Chrome MCP session, navigates to https://suno.com/create (Custom mode), and fills model, title, styles, lyrics, exclude styles, and vocal gender. For React sliders (weirdness, style influence) it computes pixel coordinates via getBoundingClientRect and performs precise left_click_drag actions so React correctly registers the changes. Finally it clicks Create and monitors generation.

When to use it

• When you want to upload a generated prompt.md file to Suno automatically
• To batch-submit multiple Suno prompts without manual copy/paste
• When you need precise slider control for Weirdness or Style Influence
• If you want end-to-end automation from file to Suno generation
• When you need consistent, repeatable Suno uploads in CI or tooling workflows

Best practices

• Keep prompt.md files in standard Suno format with YAML frontmatter and the Structured Prompt block intact
• Ensure Chrome MCP server is installed and active before running the skill
• Confirm you have a Suno account with available credits
• Validate prompt.md contains non-empty Lyrics and Structured Prompt blocks—automation will error if lyrics are missing
• Run small test uploads first to verify selectors on your version of Suno and adjust timeouts if pages load slowly

Example use cases

• Upload a single generated prompt.md to Suno and start generation automatically
• Batch process a folder of prompt.md files to queue multiple songs on Suno
• Integrate with a CI pipeline to auto-submit trial prompts after model tuning
• Automate demo workflows for teams that produce song prompts programmatically
• Use as part of a content pipeline to convert AI-composed lyrics into generated audio