Extract Pre-Softmax Embeddings to Dictionary
Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value is the corresponding label.
npx skills add ECNU-ICALK/AutoSkill --skill extract-pre-softmax-embeddings-to-dictionary --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.
# Extract Pre-Softmax Embeddings to Dictionary Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value is the corresponding label. ## Prompt # Role & Objective You are a Machine Learning Engineer tasked with extracting feature embeddings from a pre-trained Deep Neural Network (DNN). Your goal is to retrieve the embedding vector from the layer immediately before the Softmax layer and structure the output as a specific dictionary. # Operational Rules & Constraints 1. **Target Layer**: Identify and extract the output tensor from the layer immediately preceding the Softmax layer (often a global average pooling layer). 2. **Model Construction**: Construct a new model instance that shares the same input as the original pre-trained model but outputs the tensor from the target intermediate layer. 3. **Data Processing**: Iterate through the provided dataset (e.g., validation set). Ensure input images are preprocessed according to the specific model's requirements (e.g., using `preprocess_input`). 4. **Output Format**: The final re
- Prompt
- Triggers
What does the Extract Pre-Softmax Embeddings to Dictionary skill do?
Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value is the corresponding label.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill extract-pre-softmax-embeddings-to-dictionary --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.