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Agent skills
ai-automation

Topic: ai-automation

2,090 skills in this topic.

lime-explainer LIME-based local explanation skill for individual predictions across tabular, text, and image data.
a5c-ai/babysitter 514
mlflow-experiment-tracker MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
a5c-ai/babysitter 514
model-card-generator Model documentation skill for generating model cards following Google's model card framework.
a5c-ai/babysitter 514
optuna-hyperparameter-tuner Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.
a5c-ai/babysitter 514
pandas-dataframe-analyzer Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.
a5c-ai/babysitter 514
pytest-ml-tester ML-specific testing skill using pytest with fixtures for data, models, and predictions.
a5c-ai/babysitter 514
pytorch-trainer PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
a5c-ai/babysitter 514
ray-distributed-trainer Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
a5c-ai/babysitter 514
seldon-model-deployer Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
a5c-ai/babysitter 514
shap-explainer SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
a5c-ai/babysitter 514
sklearn-model-trainer Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.
a5c-ai/babysitter 514
ip-core-management Vendor IP core configuration and integration expertise for FPGA designs
a5c-ai/babysitter 514
vhdl-language Deep expertise in VHDL language constructs, IEEE 1076 standard compliance, and synthesis coding guidelines. Expert skill for generating synthesizable VHDL code.
a5c-ai/babysitter 514
verilog-sv-language Expert-level Verilog and SystemVerilog knowledge following IEEE 1800 standards. Generates synthesizable RTL code with proper coding styles and constructs.
a5c-ai/babysitter 514
uvm-methodology Deep expertise in Universal Verification Methodology (IEEE 1800.2) for FPGA verification
a5c-ai/babysitter 514
timing-constraints Expert skill for developing and validating timing constraints. Writes SDC (Synopsys Design Constraints) and XDC files for FPGA timing closure.
a5c-ai/babysitter 514
synthesis-optimization Expertise in RTL optimization for FPGA synthesis tools. Analyzes synthesis reports, applies attributes, and guides resource inference for optimal QoR.
a5c-ai/babysitter 514
sva-assertions Specialized skill for creating and debugging SystemVerilog assertions for FPGA verification
a5c-ai/babysitter 514
rtl-linting RTL code quality checking and linting. Runs lint rules, identifies synthesis issues, detects inferred latches, and generates lint reports with waivers.
a5c-ai/babysitter 514
power-analysis FPGA power estimation and optimization skill for low-power design
a5c-ai/babysitter 514
place-and-route Expert skill for FPGA place and route optimization and physical implementation
a5c-ai/babysitter 514
memory-interfaces Expert skill for on-chip and external memory interface design in FPGAs
a5c-ai/babysitter 514
whylabs-monitor WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
a5c-ai/babysitter 514
cdc-analysis Specialized skill for clock domain crossing analysis and synchronizer design in FPGA designs
a5c-ai/babysitter 514