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Killer-Skills

acestep-docs — Categories.community

v1.0.0
GitHub

About this Skill

Perfect for Music Generation Agents needing comprehensive documentation for the ACE-Step music generation system. The most powerful local music generation model that outperforms most commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.

ace-step ace-step
[0]
[0]
Updated: 3/4/2026

Quality Score

Top 5%
44
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add ace-step/ACE-Step-1.5

Agent Capability Analysis

The acestep-docs MCP Server by ace-step is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Perfect for Music Generation Agents needing comprehensive documentation for the ACE-Step music generation system.

Core Value

Empowers agents to navigate the ACE-Step documentation, providing access to guides, tutorials, and model information, including README.md, Tutorial.md, and ABOUT.md files, supporting Mac, AMD, Intel, and CUDA devices.

Capabilities Granted for acestep-docs MCP Server

Debugging ACE-Step model installations
Generating music with ACE-Step tutorials
Exploring ACE-Step project architecture

! Prerequisites & Limits

  • Requires access to ACE-Step documentation files
  • Specific to ACE-Step music generation system
Project
SKILL.md
2.9 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

ACE-Step Documentation

Documentation skill for ACE-Step music generation system.

Quick Reference

Getting Started

DocumentDescription
README.mdInstallation, model download, startup commands
Tutorial.mdGetting started tutorial, best practices
ABOUT.mdProject overview, architecture, model zoo

Guides

DocumentDescription
GRADIO_GUIDE.mdWeb UI usage guide
INFERENCE.mdInference parameters tuning
GPU_COMPATIBILITY.mdGPU/VRAM configuration, hardware recommendations
ENVIRONMENT_SETUP.mdEnvironment detection, uv installation, python_embeded setup (Windows/Linux/macOS)
SCRIPT_CONFIGURATION.mdConfiguring launch scripts: .bat (Windows) and .sh (Linux/macOS)
UPDATE_AND_BACKUP.mdGit updates, file backup, conflict resolution (all platforms)

API (for developers)

DocumentDescription
API.mdREST API documentation
Openrouter_API.mdOpenRouter API integration

Instructions

  1. Installation questions → read getting-started/README.md
  2. General usage / best practices → read getting-started/Tutorial.md
  3. Project overview / architecture → read getting-started/ABOUT.md
  4. Web UI questions → read guides/GRADIO_GUIDE.md
  5. Inference parameter tuning → read guides/INFERENCE.md
  6. GPU/VRAM issues → read guides/GPU_COMPATIBILITY.md
  7. Environment setup (uv, python_embeded) → read guides/ENVIRONMENT_SETUP.md
  8. Launch script configuration (.bat/.sh) → read guides/SCRIPT_CONFIGURATION.md
  9. Updates and backup → read guides/UPDATE_AND_BACKUP.md
  10. API development → read api/API.md or api/Openrouter_API.md

Common Issues

  • Installation problems: See getting-started/README.md
  • VRAM insufficient: See guides/GPU_COMPATIBILITY.md
  • Model download failed: See getting-started/README.md or guides/SCRIPT_CONFIGURATION.md
  • uv not found: See guides/ENVIRONMENT_SETUP.md
  • Environment detection issues: See guides/ENVIRONMENT_SETUP.md
  • BAT/SH script configuration: See guides/SCRIPT_CONFIGURATION.md
  • Update and backup: See guides/UPDATE_AND_BACKUP.md
  • Update conflicts: See guides/UPDATE_AND_BACKUP.md
  • Inference quality issues: See guides/INFERENCE.md
  • Gradio UI not starting: See guides/GRADIO_GUIDE.md

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