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claude-stwinbox-diagnostics
AI-powered predictive maintenance & vibration fault diagnosis — bridging STEVAL-STWINBX1 IoT edge sensors and Claude via Model Context Protocol (MCP)
7stars
1forks
Python
bearing-fault-detectionclaudecondition-monitoringedge-aiindustrial-iotmcpmemsmems-sensorsmodel-context-protocolpredictive-maintenancepredictive-maintenance-iotstm32
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCP + SKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest LGDiMaggio/claude-stwinbox-diagnosticsAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/claude-stwinbox-diagnostics curl -fsSL https://raw.githubusercontent.com/LGDiMaggio/claude-stwinbox-diagnostics/main/SKILL.md -o ~/.claude/skills/claude-stwinbox-diagnostics/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
claude-stwinbox-diagnostics — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt