perforatedai
An expert assistant for adding and debugging artificial dendrites in PyTorch neural networks using the PerforatedAI library.
Install
mkdir -p .claude/skills/perforatedai && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19304" && unzip -o skill.zip -d .claude/skills/perforatedai && rm skill.zipInstalls to .claude/skills/perforatedai
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration). Also use when: debugging dendrite training, configuring PAI settings, troubleshooting dendrite issues, working with PAINeuronModule or PAIDendriteModule. For analyzing completed training results, use the perforatedai-analyze skill.Key capabilities
- →Add artificial dendrites to PyTorch models
- →Configure dendrite training settings
- →Debug existing PerforatedAI integrations
- →Analyze model architecture for PAI compatibility
How it works
The skill analyzes existing PyTorch training scripts to inject dendrite modules and configuration calls, or debugs existing implementations.
Inputs & outputs
When to use perforatedai
- →Add artificial dendrites to a PyTorch model
- →Debug existing PerforatedAI integration
- →Configure dendrite training settings
About perforatedai
Guides users through the setup of PerforatedAI in PyTorch models. It helps configure training modules, analyze implementation, and troubleshoot dendrite integration issues.
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration). Also use when: debugging dendrite training, configuring PAI settings, troubleshootin
When not to use it
- →When the user does not have a working baseline training script
Prerequisites
Limitations
- →Requires manual installation of required pip packages
- →Does not run user training scripts directly
How it compares
It automates the integration of dendritic computation into standard PyTorch layers instead of manual layer modification.
Compared to similar skills
perforatedai side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| perforatedai (this skill) | 0 | 1mo | Review | Advanced |
| langsmith-observability | 4 | 8mo | Review | Intermediate |
| mflux-debugging | 3 | 3mo | No flags | Advanced |
| debug-distributed | 1 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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