Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- Language Models"Routes AXLearn GPT-family trainer catalogs, tokenizer variants,Votes: 0GitHub stars: 247
- Axlearn"Routes AXLearn training, language-model, vision, audio/ASR, andVotes: 0GitHub stars: 247
- Vision Multimodal"Operate AutoTrain Advanced image classification, image regression,Votes: 0GitHub stars: 247
- Text And Tabular"Operate AutoTrain Advanced text, NLP, sentence-transformers,Votes: 0GitHub stars: 247
- Model Tools"Operate AutoTrain Advanced utility commands for LLM adapterVotes: 0GitHub stars: 247
- Llm Training"Operate AutoTrain Advanced LLM finetuning workflows, configVotes: 0GitHub stars: 247
- Cli Config"Operate AutoTrain Advanced top-level CLI, setup command, configVotes: 0GitHub stars: 247
- App Backends"Operate AutoTrain Advanced FastAPI app/API, spacerunner, backendVotes: 0GitHub stars: 247
- Autotrain Advanced"Routes AutoTrain Advanced installation, CLI, config, training,Votes: 0GitHub stars: 247
- Automl Gs"Routes automl_gs tabular AutoML searches and the generated runtimeVotes: 0GitHub stars: 247
- Task Apis"Use AutoKeras supervised task APIs for image, text, andVotes: 0GitHub stars: 247
- Automodel Customization"Build custom AutoKeras AutoModel graphs, blocks, multimodalVotes: 0GitHub stars: 247
- Optimization Workflows"Route users who need flatten/unflatten helpers, structuredVotes: 0GitHub stars: 247
- Numpy Scipy Primitives"Routes autograd.numpy and autograd.scipy wrapper behavior,Votes: 0GitHub stars: 247
- Autograd"Routes Autograd install, differentiation, wrapper, extension, andVotes: 0GitHub stars: 247
- Classic Agents"Use the unsupported AutoGPT Classic, Forge, and direct benchmarkVotes: 0GitHub stars: 247
- Autodistill"Guides core Autodistill workflows for foundation-modelVotes: 0GitHub stars: 247
- Metadata Maintenance"Maintain auto-sklearn meta-learning metadata, AutoSklearn2Votes: 0GitHub stars: 247
- Execution And MonitoringSelect and operate local, SSH, or Slurm experiment execution with bounded, zero-LLM monitoring, safe paths, truthful terminal outcomes, and actionable recovery.Votes: 0GitHub stars: 247
- Masks And Arrays"Mask-safe ground truth augmentation and in-memory grouped arrayVotes: 0GitHub stars: 247