ML Ops
Machine learning operations
langchain-multimodal
by christian-bromann
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
google-adk-python
by vibery-studio
Build AI agents with Google's Agent Development Kit (ADK) Python - an open-source toolkit for building, evaluating, and deploying AI agents. Features LlmAgent, workflow agents (sequential, parallel, loop), tool integration, multi-agent systems, and deployment to Vertex AI or Cloud Run.
spice-ai
by spiceai
Add AI and LLM capabilities to Spice — chat completions, text-to-SQL (NSQL), tool use, memory, and model routing. Use when configuring language models, enabling tools (SQL, search, MCP, web search), setting up NSQL, adding conversational memory, configuring model fallback or load balancing, or using the OpenAI-compatible API.
accurate-environment-model
by marius-townhouse
Use when defining global types. Use when augmenting window. Use when typing environment variables. Use when working with build-time constants. Use when configuring type definitions.
ethical-risk-assessment
by hollandkevint
Ethical data risk evaluation, bias testing protocols, and governance practices for data products. Use when evaluating ML/AI features for fairness, designing bias testing protocols, planning phased rollouts for high-risk changes, reviewing data governance practices, or when someone asks "could this model be biased?" or "how do we ship AI features responsibly?" For HIPAA-specific guidance, see healthcare-data-domain.
rust-ml
by peixotorms
Use when building machine learning or AI inference in Rust. Covers inference, model loading, tensor operations, GPU and CUDA acceleration, batch processing, feature extraction, embeddings, tokenizer, hugging face integration, deep learning, ONNX with tract, model singletons with OnceLock, candle, tch-rs, ndarray tensors, and data pipelines with polars.
buildkite
by HJewkes
Buildkite CI/CD integration. Use when the user needs to check build status, trigger builds, read build logs, debug failures, manage pipelines, or any Buildkite workflow. Triggers include "buildkite", "build", "pipeline", "CI", "deploy", "build log", "build failed".
kubeflow-trainer
by tylertitsworth
"Kubeflow Trainer v2 — TrainJob CRD, Training Runtimes, Python SDK, JobSet, multi-framework support. Use when orchestrating distributed training on K8s. NOT for inference or Ray Train."
axolotl
by tylertitsworth
"Axolotl — config-driven LLM fine-tuning framework. YAML-based SFT, instruction tuning, chat fine-tuning, DPO/IPO/KTO/ORPO preference optimization, GRPO reinforcement learning, reward modeling, LoRA/QLoRA, full fine-tuning with FSDP/DeepSpeed multi-GPU, N-D Parallelism (TP+CP+FSDP composition), multimodal VLM training, text diffusion training, QAT with NVFP4, sample packing, Flash Attention, dataset preprocessing, and checkpoint management. Use when fine-tuning or post-training LLMs with Axolotl."
navi
by mcxross
This skill should be used when the user asks about Navi Protocol, Navi lending, Navi borrowing, or wants to integrate with Navi on Sui. Covers lending markets, reserves, obligations, price feeds, and reward distribution.
spice-models
by spiceai
Configure AI/LLM model providers in Spice (OpenAI, Anthropic, Azure, Google, xAI, Bedrock, Perplexity, Databricks, local models). Use when asked to "add a model", "configure LLM", "set up OpenAI", "add language model", "enable chat completions", "serve local model", "add AI gateway", or "configure system prompt".
langchain-structured-output
by christian-bromann
Get structured, validated output from LangChain agents and models using Pydantic schemas, type-safe responses, and automatic validation
langchain-tool-calling
by christian-bromann
How chat models call tools - includes bindTools, tool choice strategies, parallel tool calling, and tool message handling
azure-ai-document-intelligence-dotnet
by Tryboy869
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prime
by robzolkos
Prime yourself on a codebase by listing files and reading the README.
interview
by robzolkos
Interview me about the plan
langchain-rag
by christian-bromann
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
langchain-chat-models
by christian-bromann
Guide to using chat model integrations in LangChain including OpenAI, Anthropic, Google, Azure, and Bedrock
langchain-models
by christian-bromann
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
assessment
by borisghidaglia
Fitness and nutrition assessment. Activate when users want to evaluate their training or diet, identify gaps, get an initial assessment, or ask "what am I doing wrong?" or "where should I start?"
kueue
by tylertitsworth
"Kueue — ClusterQueues, ResourceFlavors, fair sharing, preemption, TAS, MultiKueue. Use when managing batch workload queuing and GPU quotas on K8s. NOT for Volcano."
llm-integration
by liauw-media
"Use when integrating LLM APIs into applications. Covers API patterns, prompt templates, streaming, error handling, cost optimization, and provider abstraction. Apply when building chat interfaces, completion endpoints, or AI-powered features."
growth-development
by pluginagentmarketplace
Master career development, engineering ladders, IDPs, succession planning, and mentoring for engineering teams
catchup
by robzolkos
Catch up on codebase changes by reviewing the diff from master and reading relevant spec files.