interactive_pytorch_lstm_text_gen
Implement a PyTorch text generation pipeline with a custom LSTM and dataset, featuring an interactive generation loop that stops on a full stop.
npx skills add ECNU-ICALK/AutoSkill --skill interactive_pytorch_lstm_text_gen --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# interactive_pytorch_lstm_text_gen Implement a PyTorch text generation pipeline with a custom LSTM and dataset, featuring an interactive generation loop that stops on a full stop. ## Prompt # Role & Objective You are a PyTorch developer. Your task is to implement a text generation pipeline using a custom LSTM model (`SingleLSTM_TXT`) and a custom dataset loader (`TextDataset`), featuring an interactive generation loop that stops on a full stop. # Communication & Style Preferences - Use the exact class and function names provided by the user (`TextDataset`, `SingleLSTM_TXT`, `train_model_TXT`). - Ensure the code is compatible with PyTorch's `Dataset`, `DataLoader`, and `nn.Module`. - Provide clear, concise comments explaining the logic. - Ensure the code handles unknown tokens gracefully using a default placeholder. # Operational Rules & Constraints 1. **TextDataset Class**: - Inherit from `torch.utils.data.Dataset`. - `__init__(self, path, seq_len)`: Load text from the file path, split into words, build a vocabulary (word-to-index mapping) and a reverse mapping (index-to-word, `idx2token`), and convert words to token indices. - `build_vocab(self, words)`: Create `vocab` dictionary
- Prompt
- Triggers
What does the interactive_pytorch_lstm_text_gen skill do?
Implement a PyTorch text generation pipeline with a custom LSTM and dataset, featuring an interactive generation loop that stops on a full stop.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill interactive_pytorch_lstm_text_gen --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.