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optimizing-deep-learning-models

100 / 100 · Low risk

Fine to try.

By Dicklesworthstone/pi_agent_rust (GitHub) · coding · 1,977 stars · scanned at commit 9804223

Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.

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/'optimizing-deep-learning-models' ] || [ -L ~/.agents/skills/'optimizing-deep-learning-models' ]; then echo 'A skill folder named optimizing-deep-learning-models already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/Dicklesworthstone/pi_agent_rust' "$d" && git -C "$d" checkout --quiet '98042236aae3a774dad12caf432c76d347806020' -- 'tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/deep-learning-optimizer/skills/optimizing-deep-learning-models' && mkdir -p ~/.agents/skills && cp -R "$d"/'tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/deep-learning-optimizer/skills/optimizing-deep-learning-models' ~/.agents/skills/'optimizing-deep-learning-models' && 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/'optimizing-deep-learning-models' ~/.claude/skills/'optimizing-deep-learning-models' (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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Score history

DateVersionScore
2026-11-109804223100
2026-11-08b41008f100
2026-11-06b57cea1100