Spatial9 Agent Skills for immersive audio

Browse and download free Spatial9 Agent Skills (SKILL.md) for Claude, Codex, Copilot, Cursor and Gemini CLI, plus Python, Node.js, n8n, Zapier, Make, Power Automate, GitHub Actions and Airflow examples.

Download every file as a zip · Read the guide · Enterprise guide

Skills

Spatial9 Agent Skills

Agent Skills (SKILL.md format) and ready-to-run workflow examples that teach AI agents to use the Spatial9 immersive audio engine. They work in Claude, Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI and any agent that reads the Agent Skills standard.

Every skill uses the Spatial9 MCP server:

Skills

Skill · What the agent can do

spatial9-immersive-mix · Song, stems or video to Eclipsa Audio (IAMF) with a binaural headphone version

spatial9-stem-split · Separate a song into instrument stems

spatial9-atmos-to-eclipsa · Convert Dolby or ADM BWF masters to Eclipsa Audio

spatial9-chorus-preview · Free 30-second headphone preview of the chorus

spatial9-remix-by-voice · Move, level, animate and add effects to a mix from plain language

spatial9-release-publisher · Publish to YouTube and make 9:16 social clips

spatial9-enterprise-catalog · Governed catalog renders from Databricks, Snowflake, Vertex AI and Bedrock

Install

  1. Connect the server. For Claude Code, run examples/setup/claude-code.sh. For apps that read an mcpServers file, use examples/setup/mcp.json.
  2. Copy a skill folder into your agent's skills folder, for example .claude/skills/ for a project or ~/.claude/skills/ for your user. Other agents use their own skills folder.
  3. Ask in plain words: "Make my song immersive", "Split this into stems", "Preview the chorus in 3D".

Workflow examples

Folder · What it shows

examples/python · Commented batch pipeline: upload, render with 3 workers, download

examples/node · Start an A2A task and get a webhook when it finishes

examples/n8n · Form to Slack workflow with HTTP Request nodes, or an AI Agent with the MCP Client Tool

examples/zapier · Two Zaps with a catch hook, plus the Make version

examples/power-automate · A "Do until" loop for Microsoft 365 teams

examples/github-actions · Render whenever a master is pushed

examples/airflow · Nightly catalog job with a pool of 3

examples/enterprise · Databricks, Snowflake, Google Vertex AI and Amazon Bedrock recipes with a shared MCP client

examples/open-source · MinIO, Kafka, PostgreSQL, FFmpeg, FastAPI and Dagster pipeline with real-time A2A webhooks and a live preview page

Write your own skill

Start from templates/SKILL.template.md. Keep the description specific about when to use the skill, list the exact tool names, and include the rules your team cares about.

Limits worth knowing

Learn more

License

MIT. See LICENSE.

Frequently asked questions

What are Spatial9 Agent Skills?

Free instruction packs in the open SKILL.md format that teach AI agents to use the Spatial9 MCP server for immersive mixes, stem splits, Dolby and ADM to Eclipsa Audio conversion, chorus previews, remixing by voice, YouTube publishing and governed enterprise catalog renders.

Which agents can use them?

Claude, Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI and any agent that reads the Agent Skills standard.

How do I install a skill?

Connect the Spatial9 MCP server at https://spatial9.ai/mcp, then copy a skill folder into your agent's skills folder, for example .claude/skills/.

Are there enterprise examples?

Yes. The examples/enterprise folder has recipes for Databricks, Snowflake, Google Vertex AI and Amazon Bedrock, plus a shared Python MCP client. Microsoft Fabric is not supported.

Is it free?

Yes. Every file is MIT licensed and can be downloaded as one zip file.