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Machine Learning

Training models and neural networks.

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machine-learning
210

operator-versioning

Map between Calico/enterprise versions and tigera/operator release branches. Use this skill whenever you need to determine which operator branch corresponds to a Calico or enterprise release (e.g., "which operator branch is Calico v3.30?"), or the reverse (e.g., "what Calico version does release-v1.40 ship?"). Also use this skill whenever cherry-picking to operator release branches, creating cherry-pick PRs targeting release branches, or any task that requires knowing the operator↔Calico version relationship. Trigger even if the user doesn't explicitly ask about versioning — if the task involves targeting an operator release branch by Calico version, use this skill to find the right branch.

tigera
tigera
data-ai
open
machine-learning
208

add-model-server

Add a new VLA model server to the evaluation harness. Use this skill whenever the user wants to integrate, create, or add a new model — e.g. 'add OpenVLA server', 'integrate RT-2', 'hook up my model', 'write a model server'. Also use when they ask how model servers work or want to understand the server interface.

allenai
allenai
data-ai
open
machine-learning
208

run-evaluation

Run a VLA model evaluation against a simulation benchmark. Use this skill whenever the user wants to evaluate, benchmark, test, or run a model on a sim environment — even if they say it casually like 'try OpenVLA on LIBERO' or 'get me CALVIN scores'. Covers the full workflow: serving the model, launching the benchmark, sharding for speed, merging results, and interpreting output.

allenai
allenai
data-ai
open
machine-learning
205

langchain4j-ai-services-patterns

Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.

giuseppe-trisciuoglio
giuseppe-trisciuoglio
data-ai
open
machine-learning
205

nestjs-best-practices

Provides comprehensive NestJS best practices including modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration. Use when designing NestJS modules, implementing providers, creating exception filters, validating DTOs, or integrating Drizzle ORM within NestJS applications.

giuseppe-trisciuoglio
giuseppe-trisciuoglio
data-ai
open
machine-learning
203

tsh-engineering-prompts

LLM prompt engineering patterns: structure, optimization, security, templates, evaluation, and anti-patterns. Use when designing, writing, optimizing, or reviewing prompts for LLM applications (system prompts, user prompts, RAG templates, agent instructions, chatbot personas). NOT for Copilot customization — use tsh-creating-prompts for that.

TheSoftwareHouse
TheSoftwareHouse
data-ai
open
machine-learning
202

sap-ai-core

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.

secondsky
secondsky
data-ai
open
machine-learning
200

gemini-nanobanana

Use this skill when users ask to generate, edit, or compose images with Nano Banana (Gemini image models), including text-to-image, image editing, multi-image composition, grounding, and output sizing/saving controls.

duotify
duotify
data-ai
open
machine-learning
198

tts-voice-synthesis

智能语音合成服务，支持音色克隆、拟人化语义适配配音、流式实时生成、多语言与方言支持，提供 1.7B/0.6B 双模型选择

anbeime
anbeime
data-ai
open
machine-learning
198

video-frame-extractor

视频反推工具,支持视频抽帧、视觉模型分析、提示词生成,适用于视频创作参考、内容提取、场景分析

anbeime
anbeime
data-ai
open
machine-learning
197

extract-learnings

Persist learnings to memory or maintain existing memories. Triggers on "extract learnings", "save this for next time", "remember this pattern", "consolidate memories", "dream", "clean up memories".

gupsammy
gupsammy
data-ai
open
machine-learning
195

econml-causal-guide

Apply EconML for causal inference combining machine learning and econometrics

wentorai
wentorai
data-ai
open
machine-learning
195

mostly-harmless-guide

Replication code and guide for Mostly Harmless Econometrics methods

wentorai
wentorai
data-ai
open
machine-learning
195

panel-data-analyst

Expert panel data regression analysis with fixed effects and GMM

wentorai
wentorai
data-ai
open
machine-learning
195

sem-guide

Structural equation modeling with latent variables guide

wentorai
wentorai
data-ai
open
machine-learning
195

ai-model-benchmarking

Benchmark AI models across 60+ academic evaluation suites and metrics

wentorai
wentorai
data-ai
open
machine-learning
195

keras-deep-learning

Build and debug deep learning models with Keras and TensorFlow backend

wentorai
wentorai
data-ai
open
machine-learning
195

llm-evaluation-guide

Evaluate and benchmark large language models for research applications

wentorai
wentorai
data-ai
open
machine-learning
195

ml-pipeline-guide

Build and deploy reproducible production ML pipelines for research

wentorai
wentorai
data-ai
open
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