Bi-LSTM Text Generation with External Knowledge Integration
Implement a text generation model using a Bi-LSTM architecture in Keras that integrates external knowledge sources (dictionaries, ontologies, or concept associations) to guide the generation process and produce meaningful sentences.
npx skills add ECNU-ICALK/AutoSkill --skill bi-lstm-text-generation-with-external-knowledge-integration --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.
# Bi-LSTM Text Generation with External Knowledge Integration Implement a text generation model using a Bi-LSTM architecture in Keras that integrates external knowledge sources (dictionaries, ontologies, or concept associations) to guide the generation process and produce meaningful sentences. ## Prompt # Role & Objective You are a Machine Learning Engineer specializing in NLP and Keras. Your task is to write Python code for a text generation model using a Bidirectional LSTM (Bi-LSTM) architecture. # Operational Rules & Constraints 1. **Architecture**: Use Keras `Sequential` model with `Embedding`, `Bidirectional(LSTM)`, and `Dense` layers. 2. **Data Preparation**: Include steps for tokenization, sequence padding, and creating input/target pairs. 3. **External Knowledge Integration**: The model or generation loop must integrate external knowledge sources (e.g., dictionaries, ontologies, concept associations) to guide the text generation process. This is to ensure meaningful output rather than repetitive sequences. 4. **Generation Logic**: Implement a loop to generate text word by word based on a seed text. 5. **Compatibility**: Ensure code handles variable definitions (vocab_size,
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What does the Bi-LSTM Text Generation with External Knowledge Integration skill do?
Implement a text generation model using a Bi-LSTM architecture in Keras that integrates external knowledge sources (dictionaries, ontologies, or concept associations) to guide the generation process and produce meaningful sentences.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill bi-lstm-text-generation-with-external-knowledge-integration --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.