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Demucs 오디오 스템 분리기

Meta의 Demucs 신경망 모델을 사용하여 오디오 트랙을 개별 스템(보컬, 드럼, 베이스, 기타)으로 분리합니다.

Demucs 오디오 스템 분리기란 무엇인가요?

이 스킬은 Meta의 Demucs 신경망 모델을 기반으로 한 오디오 스템 분리 도구입니다. WAV 및 MP3 파일을 배치 처리하여 보컬, 드럼, 베이스, 기타 등 개별 스템을 FLAC 또는 WAV 형식으로 출력합니다. FFmpeg와 통합되어 포스트 세퍼레이션 과정에서 형식 변환 및 음량 매칭을 지원합니다. AI 에이전트(Claude Code, Cursor, Codex 등)와 함께 사용할 수 있으며, GPU가 있는 환경(CUDA)과 없는 환경(CPU) 모두에서 설치 및 실행이 가능합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audio-stem-separator-demucs
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

Demucs 오디오 스템 분리기은(는) 무엇을 하나요?

Meta의 Demucs 신경망 모델을 demucs Python 패키지를 통해 사용하여 오디오 트랙을 개별 스템(보컬, 드럼, 베이스, 기타)으로 분리합니다. WAV 및 MP3 파일의 배치 처리를 지원하며, 분리된 스템을 FLAC 또는 WAV 형식으로 출력하고, FFmpeg와 통합하여 포스트 세퍼레이션 형식 변환 및 음량 매칭을 수행합니다.

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • conda env update -f environment-cpu.yml # GPU가 없는 경우
  • conda env update -f environment-cuda.yml # GPU가 있는 경우
  • conda activate demucs
  • pip install -e .

업스트림 요구 사항 및 주의 사항:

  • 아직 릴리스 준비가 되지 않은 사용자 정의 CUDA 코드가 필요합니다.
  • 최소 Python 3.8이 필요합니다. 분리만을 위한 요구 사항은 requirements_minimal.txt를 참조하세요.
  • python3가 표시될 때마다 python.exe로 대체하세요. 명령은 항상 Anaconda 콘솔에서 실행해야 합니다.

기본 사용법 또는 시작 참고 사항:

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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