Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Utilizes the grandMA3 MCP server to patch fixtures, execute console commands, and trigger macros via OSC.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill file instructs AI agents on how to control grandMA3 lighting consoles using the grandma3_mcp.py script. It details OSC routing, command execution, fixture patching, and troubleshooting steps.
The grandMA3 MCP Server enables AI models to programmatically configure and drive grandMA3 lighting control software. In the BDB OS workflow, this integration automates fixture patching, triggers lighting states, executes macros, and manages live cue sequencing during stage productions.
127.0.0.1 on port 8000./cmd string paths, executing them natively inside grandMA3's Command Line.8000 and route /cmd addresses.Fixture 1 At 100, Go Macro 5).patch_fixture, check if the targeted DMX address or fixture ID is already occupied by existing objects to avoid patching conflicts.| Tool | Parameters | Description |
|---|---|---|
grandma3_ping | None | Verifies that the FastMCP server is active and ready to transmit commands. |
execute_command | command: string | Sends an arbitrary grandMA3 command to the console CLI via OSC (e.g., ClearAll, Go Page 2). |
execute_macro | macro_number: int | Executes a specific macro number using the Go Macro {num} syntax. |
patch_fixture | fixture_id: int, name: string, fixture_type: string, address: string | Automatically runs the console CLI command to assign, name, set fixture type, and patch a fixture. |
Patch four Robe BMFL fixtures starting at DMX address 1.101:
// Tool Call: patch_fixture
{
"fixture_id": 101,
"name": "BMFL_StageLeft_01",
"fixture_type": "Robe BMFL",
"address": "1.101"
}
// Tool Call: patch_fixture
{
"fixture_id": 102,
"name": "BMFL_StageLeft_02",
"fixture_type": "Robe BMFL",
"address": "1.121"
}
Run a sequence command to clear the programmer, select fixtures, set intensity, and store a cue:
// Tool Call: execute_command
{
"command": "ClearAll"
}
// Tool Call: execute_command
{
"command": "Fixture 101 Thru 105 At 80"
}
// Tool Call: execute_command
{
"command": "Store Cue 1 \"Intro Light\""
}
127.0.0.1 (localhost)8000 (UDP)/cmdIn (Listening)127.0.0.18000UDPOSC message sent, but console is not responding
8000 and has the /cmd prefix active.Patch Command Syntax Failure
fixture_type string does not match any profile loaded in grandMA3's fixture library.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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