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Data & AI

Machine learning, LLMs, and data processing.

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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

llm-ai

1K

deepgram-core-workflow-b

Implement real-time streaming transcription with Deepgram. Use when building live transcription, voice interfaces, or real-time audio processing applications. Trigger with phrases like "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming".

jeremylongshore

data-ai

llm-ai

1K

langchain-hello-world

Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts. Trigger with phrases like "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".

jeremylongshore

data-ai

machine-learning

1K

fastapi-ml-endpoint

Configure fastapi ml endpoint operations. Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category. Use when working with APIs or building integrations. Trigger with phrases like "fastapi ml endpoint", "fastapi endpoint", "fastapi".

jeremylongshore

data-ai

machine-learning

1K

building-neural-networks

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

jeremylongshore

data-ai

llm-ai

1K

perplexity-upgrade-migration

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

jeremylongshore

data-ai

machine-learning

1K

building-neural-networks

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

jeremylongshore

data-ai

llm-ai

1K

vastai-incident-runbook

Execute Vast.ai incident response procedures with triage, mitigation, and postmortem. Use when responding to Vast.ai-related outages, investigating errors, or running post-incident reviews for Vast.ai integration failures. Trigger with phrases like "vastai incident", "vastai outage", "vastai down", "vastai on-call", "vastai emergency", "vastai broken".

jeremylongshore

data-ai

machine-learning

1K

distributed-training-setup

Distributed Training Setup - Auto-activating skill for ML Training. Triggers on: distributed training setup, distributed training setup Part of the ML Training skill category.

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

machine-learning

1K

building-neural-networks

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

jeremylongshore

data-ai

llm-ai

1K

wandb-experiment-logger

Execute wandb experiment logger operations. Auto-activating skill for ML Training. Triggers on: wandb experiment logger, wandb experiment logger Part of the ML Training skill category. Use when working with wandb experiment logger functionality. Trigger with phrases like "wandb experiment logger", "wandb logger", "wandb".

jeremylongshore

data-ai

llm-ai

1K

processing-computer-vision-tasks

This skill enables Claude to process and analyze images using computer vision techniques. It's used to perform tasks such as object detection, image classification, and image segmentation. Use this skill when a user requests analysis of an image, asks for identification of objects within an image, or needs help with other computer vision related tasks. Trigger terms include "analyze image", "object detection", "image classification", "image segmentation", "computer vision", "process image", or when the user provides an image and asks for insights.

jeremylongshore

data-ai

machine-learning

1K

building-classification-models

This skill enables Claude to construct and evaluate classification models using provided datasets or specifications. It leverages the classification-model-builder plugin to automate model creation, optimization, and reporting. Use this skill when the user requests to "build a classifier", "create a classification model", "train a classification model", or needs help with supervised learning tasks involving labeled data. The skill ensures best practices are followed, including data validation, error handling, and performance metric reporting.

jeremylongshore

data-ai

llm-ai

1K

klingai-common-errors

Execute diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like 'kling ai error', 'klingai not working', 'fix klingai', 'klingai failed'.

jeremylongshore

data-ai

machine-learning

1K

tracking-model-versions

This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.

jeremylongshore

data-ai

llm-ai

1K

deepgram-deploy-integration

Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring production infrastructure, or setting up Deepgram in containerized environments. Trigger with phrases like "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud".

jeremylongshore

data-ai

machine-learning

1K

wandb-experiment-logger

Wandb Experiment Logger - Auto-activating skill for ML Training. Triggers on: wandb experiment logger, wandb experiment logger Part of the ML Training skill category.

jeremylongshore

data-ai

llm-ai

1K

ideogram-hello-world

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

jeremylongshore

data-ai

llm-ai

1K

vastai-upgrade-migration

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

jeremylongshore

data-ai

machine-learning

1K

model-explainability-tool

Model Explainability Tool - Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category.

jeremylongshore

data-ai

llm-ai

1K

ollama-setup

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

jeremylongshore

data-ai

machine-learning

1K

fastapi-ml-endpoint

Fastapi Ml Endpoint - Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category.

jeremylongshore

data-ai

llm-ai

1K

building-recommendation-systems

This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".

jeremylongshore

data-ai

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