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Flask ML API Creator
flask-ml-api-creator
jeremylongshore/claude-code-plugins-plus-skills
478
Automates Flask-based machine learning API deployment by guiding you through best practices, generating production code/configurations, and validating outputs for serving, monitoring, and MLOps pipelines.
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Gamma Hello World
gamma-hello-world
jeremylongshore/claude-code-plugins-plus-skills
75
Minimal Gamma integration sample showing how to initialize the SDK, create a simple three-slide presentation, and handle common setup errors; ideal for smoke testing new Gamma projects or learning basics.
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Onboard
git-pr-workflows-onboard
sickn33/antigravity-awesome-skills
155
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
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Langfuse Trace Starter
langfuse-hello-world
jeremylongshore/claude-code-plugins-plus-skills
140
Provides a minimal Langfuse trace example that initializes the client, records spans and generations, flushes data, and logs a trace URL—ideal when starting integrations, validating setup, or learning trace patterns.
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Deliberate Learning Exercises
learning-opportunities
tech-leads-club/agent-skills
55
Offers short interactive exercises after architectural or unfamiliar work in AI-assisted coding, prompting learners with prediction, explanation, or comparison questions before revealing answers.
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Learning Rate Scheduler
learning-rate-scheduler
jeremylongshore/claude-code-plugins-plus-skills
458
Provides automated guidance for configuring learning rate schedulers during ML training, covering best practices, setup patterns, and framework-ready code snippets for PyTorch, TensorFlow, and Scikit-learn while validating against common standards.
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Lindy Hello World
lindy-hello-world
jeremylongshore/claude-code-plugins-plus-skills
399
Provides a minimal Lindy AI agent example for starting a new integration, testing your setup, or learning core API patterns, guiding you through file creation, client initialization, and first agent execution.
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Linear Issue Quickstart
linear-hello-world
jeremylongshore/claude-code-plugins-plus-skills
176
Walks through using the Linear GraphQL API to query teams, create an issue, and list recent issues, making it ideal for testing connectivity or learning the Linear SDK.
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Machine Learning Pipeline - Multi-Agent MLOps Orchestration
machine-learning-ops-ml-pipeline
sickn33/antigravity-awesome-skills
406
Design and implement a complete ML pipeline for: $ARGUMENTS
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Model Evaluation Metrics
model-evaluation-metrics
jeremylongshore/claude-code-plugins-plus-skills
227
Automates guidance for evaluating machine learning models, covering best practices, sample code, and validation patterns triggered by mentions of model evaluation metrics.
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Model Quantization Assistant
model-quantization-tool
jeremylongshore/claude-code-plugins-plus-skills
222
Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.
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Minimalist GPT Training
nanogpt
Orchestra-Research/AI-Research-SKILLs
239
NanoGPT is a hackable ~300-line PyTorch reproduction of GPT-2 for learning transformer internals; train Shakespeare or OpenWebText on CPUs or multi-GPU setups, experiment with fine-tuning/custom datasets, and prototype quickly.
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