README.md
README.md: full Markdown source from the root of Spatial9 Agent Skills. Free, MIT licensed code for immersive audio with the Spatial9 MCP server and A2A agent.
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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:
https://spatial9.ai/mcp: sign in with OAuth, or sendAuthorization: Bearer s9_...(create a key at https://spatial9.ai/connect)https://spatial9.ai/mcp/free: free guest allowance, no sign-in
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
- Connect the server. For Claude Code, run examples/setup/claude-code.sh. For apps that read an
mcpServersfile, use examples/setup/mcp.json. - 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. - 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/enterprise/databricks/solution-accelerator · Databricks Solutions Accelerator: an Asset Bundle with six notebooks for intake, render queue, MCP renders, A2A delegation, Dolby Atmos masters from the REST API and gold views
examples/enterprise/shared · Shared Python MCP and A2A clients used by every enterprise recipe
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
- Up to 3 renders at once and 20 per day per account.
- A failed render refunds its project automatically.
- Upload links last 2 hours and accept files up to 2 GB.
- Always send an
idempotency_keyso a retry never starts a second render.
Learn more
- Full guide: https://spatial9.ai/blog/spatial9-agent-skills-pipelines-n8n-workflows
- Enterprise guide: https://spatial9.ai/blog/spatial9-enterprise-agents-databricks-snowflake-vertex-bedrock
- Open source pipeline guide: https://spatial9.ai/blog/open-source-spatial-audio-pipeline-real-time-spatial9
- Browse these files online: https://spatial9.ai/agents/skills
- A2A agents: https://spatial9.ai/agents
License
MIT. See LICENSE.