Claude Skills by jeremylongshore

'Build and evaluate classification models for supervised learning tasks

'Analyze datasets by running clustering algorithms (K-means, DBSCAN,

'Process images using object detection, classification, and segmentation.

'Process automate data cleaning, transformation, and validation for ML

'Generate plots, charts, and graphs from data with automatic visualization

'Process split datasets into training, validation, and testing sets for

'Optimize deep learning models using Adam, SGD, and learning rate scheduling

'Implement machine learning experiment tracking using MLflow or Weights

'Execute create, select, and transform features to improve machine learning

'Optimize machine learning model hyperparameters using grid search, random

'Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages

'Execute software engineer specializing in creating production-ready

'Generate production-ready Google Cloud code examples from official repositories

'Build production Firebase Genkit applications including RAG systems,

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".

Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with operational guardrails (logs, alerts, cost controls). Use when designing, deploying, or operating Vertex AI agents on Google Cloud. Trigger with "build a Vertex agent", "deploy to Agent Engine", or "wire up RAG on Vertex AI".

'Inspect and validate Vertex AI Agent Engine deployments including Code

'Validate production readiness of Vertex AI Agent Engine deployments

'Generate speech locally from text using VoxCPM2 (2B params, Apache-2.0).

'Build train machine learning models with automated workflows. Analyzes

'Deploy this skill enables AI assistant to deploy machine learning models

'Build this skill allows AI assistant to evaluate machine learning models

'Build this skill enables AI assistant to provide interpretability and

'Build this skill enables AI assistant to track and manage ai/ml model

'Execute this skill allows AI assistant to construct and configure neural

'Execute this skill enables AI assistant to perform natural language

'Configure auto-configure Ollama when user needs local LLM deployment,

'Execute this skill empowers AI assistant to construct recommendation

'Execute this skill empowers AI assistant to perform regression analysis

'Execute this skill enables AI assistant to analyze the sentiment of

'Process this skill enables AI assistant to forecast future values based

'Build this skill automates the adaptation of pre-trained machine learning

'Push-based web analytics intelligence for your entire site portfolio.

'Build secure API authentication systems with OAuth2, JWT, API keys,

'Optimize bulk API requests with batching, throttling, and parallel execution.

'Implement intelligent API response caching with Redis, Memcached, and

'Generate API contracts and OpenAPI specifications from code or design

'Create comprehensive API documentation with examples, authentication

'Implement standardized error handling with proper HTTP status codes

'Build event-driven APIs with webhooks, Server-Sent Events, and real-time

'Create API gateways with routing, load balancing, rate limiting, and

'Execute comprehensive load and stress testing to validate API performance

'Implement API migrations between versions, platforms, or frameworks

'Generate mock API servers for testing and development with realistic

'Build real-time API monitoring dashboards with metrics, alerts, and

'Implement sophisticated rate limiting with sliding windows, token buckets,

'Monitor and log API requests with correlation IDs, performance metrics,

'Validate API responses against schemas to ensure contract compliance

'Validate API schemas against OpenAPI, JSON Schema, and GraphQL specifications.

'Generate client SDKs in multiple languages from OpenAPI specifications.