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embedded-ai-workspace
Three-phase Claude tooling for embedded firmware: MISRA Skill + Datasheet MCP + HIL pipeline. Verified end-to-end on STM32F4-DISCOVERY hardware.
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TypeScript
ai-toolsclaudeembedded-systemsfirmwarehardware-in-the-loophilmcpmisra-cmodel-context-protocolstm32stm32f4typescript
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest atillab1/embedded-ai-workspaceAuto-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/embedded-ai-workspace curl -fsSL https://raw.githubusercontent.com/atillab1/embedded-ai-workspace/main/SKILL.md -o ~/.claude/skills/embedded-ai-workspace/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.
embedded-ai-workspace — 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