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tensorboard

80 / 100 · Low risk

Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.

By hashgraph-online/awesome-codex-plugins (GitHub) · coding · 1,568 stars · scanned at commit 3e1e6b2

Logs and views ML training data in TensorBoard using PyTorch SummaryWriter and TensorFlow/Keras callbacks: scalars, images, text, histograms, model graphs, embedding projector, hyperparameter tables, PR curves, and TensorFlow or PyTorch profiler traces. Use when plotting loss and accuracy curves during training, comparing multiple runs in one dashboard, inspecting weight and gradient distributions, projecting embeddings with PCA or t-SNE, tracking hyperparameter experiments, or finding performa…

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/'tensorboard' ] || [ -L ~/.agents/skills/'tensorboard' ]; then echo 'A skill folder named tensorboard already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/hashgraph-online/awesome-codex-plugins' "$d" && git -C "$d" checkout --quiet '3e1e6b20ffc28f42923e391f29f075c424e19e64' -- 'plugins/KalarisLabs/research-agent-skills/skills/tensorboard' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/KalarisLabs/research-agent-skills/skills/tensorboard' ~/.agents/skills/'tensorboard' && 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/'tensorboard' ~/.claude/skills/'tensorboard' (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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