solidity-dev
Deep expertise in Solidity language features, patterns, and best practices for secure smart contract development. Covers ERC standards, gas optimization, upgradeable contracts, and security patterns.
subgraph-indexing
Subgraph development for The Graph protocol. Includes manifest configuration, GraphQL schema design, AssemblyScript handlers, entity relationships, and deployment to hosted and decentralized networks.
tokenomics
Token economics simulation and analysis. Supports supply modeling, staking mechanisms, liquidity mining, governance dynamics, agent-based simulations, and cadCAD integration.
wallet-integration
Wallet connection and transaction management for dApps using wagmi and viem. Supports multiple connectors, chain switching, EIP-712 signing, and hardware wallet integration.
zk-circuits
Zero-knowledge circuit development using Circom and Noir languages. Supports constraint optimization, ZK-friendly cryptographic primitives, proof generation (Groth16, PLONK), and Merkle tree implementations.
A/B Test Statistical Analyzer
Performs statistical analysis for A/B testing experiments
airflow-dag-analyzer
Analyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.
Apache Spark Optimizer
Analyzes and optimizes Apache Spark jobs for performance, cost, and resource utilization
BI Semantic Layer Generator
Generates semantic layer definitions for BI tools from dimensional models
CDC Pattern Implementer
Implements Change Data Capture patterns for real-time data integration
Cost Optimizer (Cloud Data Platforms)
Analyzes and optimizes costs for cloud data platforms
Data Catalog Enricher
Enriches data catalog entries with automated metadata
data-lineage-mapper
Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.
data-quality-profiler
Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.
dbt-project-analyzer
Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.
Dimensional Model Validator
Validates dimensional models against Kimball methodology best practices
Feature Engineering Optimizer
Optimizes feature engineering pipelines and feature store configurations
Great Expectations Generator
Generates Great Expectations suites from data profiles and business rules
Incremental Model Strategy Selector
Selects and configures optimal incremental model strategies
Kafka Topic Designer
Designs and optimizes Apache Kafka topics and configurations
OBT Design Optimizer
Designs and optimizes One Big Table (OBT) patterns
SCD Implementation Generator
Generates Slowly Changing Dimension implementations across platforms
Schema Evolution Manager
Manages schema evolution and compatibility across data systems
sql-query-optimizer
Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.
Stream Processing Windowing Designer
Designs optimal windowing strategies for stream processing
alibi-explainer
Alibi explainability skill for counterfactual explanations, anchors, and trust scores.
arize-observability
Arize AI skill for production ML monitoring, embedding drift, and performance analysis.
bentoml-model-packager
BentoML skill for model packaging, serving, and containerization.
dvc-dataset-versioning
Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
evidently-drift-detector
Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.
fairlearn-bias-detector
Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.
feast-feature-store
Feature store management skill for online/offline feature serving, feature registration, and training-serving consistency.
great-expectations-validator
Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.
jupyter-notebook-executor
Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.
kubeflow-pipeline-executor
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
lime-explainer
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
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.
model-card-generator
Model documentation skill for generating model cards following Google's model card framework.
optuna-hyperparameter-tuner
Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.
pandas-dataframe-analyzer
Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.
pytest-ml-tester
ML-specific testing skill using pytest with fixtures for data, models, and predictions.
pytorch-trainer
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
ray-distributed-trainer
Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
seldon-model-deployer
Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
shap-explainer
SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
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.
tensorflow-trainer
TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
wandb-experiment-tracker
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
whylabs-monitor
WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
accessibility-test-runner
Run accessibility audits with axe-core and screen reader testing for desktop applications
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