transformers
80 / 100 · Low risk
Fine to try.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
What this skill can do
Downloads and installs other software
Runs commands on your computer
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'transformers' ] || [ -L ~/.agents/skills/'transformers' ]; then echo 'A skill folder named transformers already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/lamm-mit/scienceclaw' "$d" && git -C "$d" checkout --quiet '894598cd3a90891a077c254566276bd379038bad' -- 'skills/transformers' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/transformers' ~/.agents/skills/'transformers' && 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/'transformers' ~/.claude/skills/'transformers' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/lamm-mit/scienceclaw/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-13 | 894598c | 80 |