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Data & AI

Machine learning, LLMs, and data processing.

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data-engineering

1K

archiving-databases

This skill automates database archival processes. It helps reduce primary database size by moving historical records to archive tables or cold storage solutions like S3, Azure Blob, or GCS. The plugin supports PostgreSQL and MySQL, implementing automated retention policies, compression, compliance tracking, and zero-downtime migration. Use this when the user mentions "database archival", "archive old database records", "retention policies", "cold storage", or "reduce database size." It is particularly useful for handling requests related to data lifecycle management and compliance requirements in database systems.

jeremylongshore

data-ai

data-engineering

1K

schema-validator

Schema Validator - Auto-activating skill for Data Pipelines. Triggers on: schema validator, schema validator Part of the Data Pipelines skill category.

jeremylongshore

data-ai

data-engineering

1K

preprocessing-data-with-automated-pipelines

This skill empowers Claude to preprocess and clean data using automated pipelines. It is designed to streamline data preparation for machine learning tasks, implementing best practices for data validation, transformation, and error handling. Claude should use this skill when the user requests data preprocessing, data cleaning, ETL tasks, or mentions the need for automated pipelines for data preparation. Trigger terms include "preprocess data", "clean data", "ETL pipeline", "data transformation", and "data validation". The skill ensures data quality and prepares it for effective analysis and model training.

jeremylongshore

data-ai

data-engineering

1K

supabase-data-handling

Implement Supabase PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for Supabase integrations. Trigger with phrases like "supabase data", "supabase PII", "supabase GDPR", "supabase data retention", "supabase privacy", "supabase CCPA".

jeremylongshore

data-ai

data-engineering

1K

sql-transform-helper

Sql Transform Helper - Auto-activating skill for Data Pipelines. Triggers on: sql transform helper, sql transform helper Part of the Data Pipelines skill category.

jeremylongshore

data-ai

llm-ai

1K

vertex-agent-builder

Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities

jeremylongshore

data-ai

machine-learning

1K

early-stopping-callback

Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.

jeremylongshore

data-ai

llm-ai

1K

dataset-loader-creator

Create dataset loader creator operations. Auto-activating skill for ML Training. Triggers on: dataset loader creator, dataset loader creator Part of the ML Training skill category. Use when working with dataset loader creator functionality. Trigger with phrases like "dataset loader creator", "dataset creator", "dataset".

jeremylongshore

data-ai

llm-ai

1K

retellai-multi-env-setup

Configure Retell AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Retell AI configurations. Trigger with phrases like "retellai environments", "retellai staging", "retellai dev prod", "retellai environment setup", "retellai config by env".

jeremylongshore

data-ai

machine-learning

1K

model-export-helper

Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category.

jeremylongshore

data-ai

machine-learning

1K

validating-ai-ethics-and-fairness

This skill enables Claude to validate the ethical implications and fairness of AI/ML models and datasets. It is triggered when the user requests an ethics review, fairness assessment, or bias detection for an AI system. The skill uses the ai-ethics-validator plugin to analyze models, datasets, and code for potential biases and ethical concerns. It provides reports and recommendations for mitigating identified issues, ensuring responsible AI development and deployment. Use this skill when the user mentions "ethics validation", "fairness assessment", "bias detection", "responsible AI", or related terms in the context of AI/ML.

jeremylongshore

data-ai

machine-learning

1K

building-automl-pipelines

This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning pipeline, specifies the use of AutoML techniques, or asks for assistance in automating the machine learning model building process. The skill analyzes the context, generates code for the ML task, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when the user explicitly asks to "build automl pipeline", "create automated ml pipeline", or needs help with "automating machine learning workflows".

jeremylongshore

data-ai

llm-ai

1K

groq-upgrade-migration

Analyze, plan, and execute Groq SDK upgrades with breaking change detection. Use when upgrading Groq SDK versions, detecting deprecations, or migrating to new API versions. Trigger with phrases like "upgrade groq", "groq migration", "groq breaking changes", "update groq SDK", "analyze groq version".

jeremylongshore

data-ai

machine-learning

1K

training-machine-learning-models

This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like scikit-learn.

jeremylongshore

data-ai

llm-ai

1K

windsurf-keyboard-shortcuts

Configure custom keyboard shortcuts for Cascade and AI features. Activate when users mention "keyboard shortcuts", "keybindings", "hotkeys", "shortcut configuration", or "customize shortcuts". Handles keybinding setup and optimization. Use when working with windsurf keyboard shortcuts functionality. Trigger with phrases like "windsurf keyboard shortcuts", "windsurf shortcuts", "windsurf".

jeremylongshore

data-ai

machine-learning

1K

model-registry-manager

Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.

jeremylongshore

data-ai

llm-ai

1K

vastai-rate-limits

Implement Vast.ai rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Vast.ai. Trigger with phrases like "vastai rate limit", "vastai throttling", "vastai 429", "vastai retry", "vastai backoff".

jeremylongshore

data-ai

machine-learning

1K

explaining-machine-learning-models

This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "interpret model", "feature importance", "SHAP values", or "LIME explanations".

jeremylongshore

data-ai

llm-ai

1K

adk-agent-builder

Build production-ready AI agents using Google's Agent Development Kit with Claude integration, React patterns, multi-agent orchestration, and comprehensive tool libraries

jeremylongshore

data-ai

llm-ai

1K

langchain-sdk-patterns

Apply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integrations, refactoring code, or establishing team coding standards for LangChain applications. Trigger with phrases like "langchain SDK patterns", "langchain best practices", "langchain code patterns", "idiomatic langchain", "langchain architecture".

jeremylongshore

data-ai

llm-ai

1K

vastai-hello-world

Create a minimal working Vast.ai example. Use when starting a new Vast.ai integration, testing your setup, or learning basic Vast.ai API patterns. Trigger with phrases like "vastai hello world", "vastai example", "vastai quick start", "simple vastai code".

jeremylongshore

data-ai

llm-ai

1K

groq-hello-world

Create a minimal working Groq example. Use when starting a new Groq integration, testing your setup, or learning basic Groq API patterns. Trigger with phrases like "groq hello world", "groq example", "groq quick start", "simple groq code".

jeremylongshore

data-ai

llm-ai

1K

openrouter-function-calling

Implement function/tool calling with OpenRouter models. Use when building agents or structured outputs. Trigger with phrases like 'openrouter functions', 'openrouter tools', 'openrouter agent', 'function calling'.

jeremylongshore

data-ai

llm-ai

1K

optimizing-prompts

This skill optimizes prompts for Large Language Models (LLMs) to reduce token usage, lower costs, and improve performance. It analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more concise and effective. It is used when the user wants to reduce LLM costs, improve response speed, or enhance the quality of LLM outputs by optimizing the prompt. Trigger terms include "optimize prompt", "reduce LLM cost", "improve prompt performance", "rewrite prompt", "prompt optimization".

jeremylongshore

data-ai

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