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Manage local AIMA deployments and device state through the built-in AIMA MCP server.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Text-to-speech using AIMA's current local TTS model. Generate audio files from text.
Transcribe audio files using AIMA's current local ASR model (speech-to-text).
Generate images using AIMA's local z-image model (OpenAI-compatible API).
| name | aima-control |
| description | Manage local AIMA deployments and device state through the built-in AIMA MCP server. |
| metadata | {"openclaw":{"emoji":"🛠️","always":true}} |
Use AIMA MCP tools for local inference operations on this device.
system.status for overall device and runtime statehardware.detect and hardware.metrics for capability and live load checksmodel.list and engine.list before planning changesdeploy.list, deploy.status, deploy.apply, deploy.delete, and deploy.logs for deployment workknowledge.resolve before changing engine/model combinationsbenchmark.run after major deployment changesopenclaw with action=status|sync|claim for OpenClaw integration drifttools/list as discovery only; use the listed tools as the supported day-to-day surface.deploy.status or deploy.list.