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edge-embedded-ai-engineer

100 / 100 · Low risk

Fine to try.

By stanfish06/skillquarium (GitHub) · other · 12 stars · scanned at commit f748ea9

Expert-thinking profile for Edge / Embedded AI Engineer (embedded firmware / on-device inference): Reasons from tensor-arena budgets, full-int8 PTQ with representative calibration, and TFLM/CMSIS-NN or Vela/Ethos-U compile paths through ONNX Runtime QNN HTP and mobile delegates—treating train–serve preprocessing skew, float thresholds on quantized outputs, and NPU operator fallback as first-class failure modes.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'edge-embedded-ai-engineer' ] || [ -L ~/.agents/skills/'edge-embedded-ai-engineer' ]; then echo 'A skill folder named edge-embedded-ai-engineer already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/stanfish06/skillquarium' "$d" && git -C "$d" checkout --quiet 'f748ea91aa51ce8fc42c27c809dba73a8377b1d5' -- 'skills/edge-embedded-ai-engineer' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/edge-embedded-ai-engineer' ~/.agents/skills/'edge-embedded-ai-engineer' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'edge-embedded-ai-engineer' ~/.claude/skills/'edge-embedded-ai-engineer' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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