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dgl

80 / 100 · Low risk

Fine to try.

By mkurman/zorai (GitHub) · other · 327 stars · scanned at commit 8ea1fc3

Deep Graph Library (DGL) — graph neural network framework. GCN, GAT, GraphSAGE, RGCN, and custom message-passing. Heterogeneous graphs, temporal graphs, and large-scale training with mini-batch sampling.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

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

if [ -e ~/.agents/skills/'dgl' ] || [ -L ~/.agents/skills/'dgl' ]; then echo 'A skill folder named dgl already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/mkurman/zorai' "$d" && git -C "$d" checkout --quiet '8ea1fc3ae126b6e103b8508bacd8f5aa60b6f4ad' -- 'skills/scientific-skills/dgl' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/scientific-skills/dgl' ~/.agents/skills/'dgl' && 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/'dgl' ~/.claude/skills/'dgl' (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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