ML Ops
Machine learning operations
ai-ml-engineer
by nahisaho
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.
ruby-on-rails-best-practices
by sergiodxa
Ruby on Rails architecture and coding patterns from Basecamp. Use when writing, reviewing, or refactoring Rails code to follow proven conventions for models, controllers, jobs, and concerns. Triggers on tasks involving Rails models, concerns, controllers, background jobs, or Turbo/Hotwire.
model-council
by michaelboeding
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.
transcribe-and-analyze
by buddyh
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
genai-services
by acedergren
Use when implementing OCI GenAI inference APIs, troubleshooting rate limits or token errors, optimizing GenAI costs, or handling sensitive data (PHI/PII) in prompts. Covers model selection, cost calculations, token management, response validation, and healthcare/compliance considerations.
qlora
by itsmostafa
Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.
lora
by itsmostafa
Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.
pytorch
by itsmostafa
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
rlhf
by itsmostafa
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.
mlx
by itsmostafa
Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.
transformers
by itsmostafa
Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.
aptos-object-model
by raintree-technology
Expert on Aptos Object Model for composable, transferable assets. Covers ObjectCore, Object<T> wrapper, ConstructorRef, ExtendRef, DeleteRef, TransferRef capabilities, object ownership, named vs generated objects, and composability patterns.
shelby
by raintree-technology
Shelby Protocol expert for decentralized blob storage on Aptos blockchain. Covers erasure coding (Clay Codes), TypeScript SDK, smart contracts, CLI tools, storage providers, and dApp integration. High-performance storage for video streaming, AI training, and large datasets. Triggers on Shelby, Shelby Protocol, decentralized storage, Aptos storage, blob storage, ShelbyNodeClient, erasure coding, Clay Codes.
cc-proxy-detector
by zxc123aa
检测 Claude Code 中转站的真实后端来源（Anthropic 官方 / AWS Bedrock Kiro / Google Vertex AI Antigravity / 疑似伪装）。当用户想要检测中转站渠道来源、验证 API 是否为官方直连、识别中转站伪装、扫描多模型混合渠道时使用。触发词包括"检测渠道"、"检测中转"、"proxy detect"、"渠道来源"、"是不是官方"。
Video Editing
by 6missedcalls
Output: always tell the user the output file path and duration
convert-elm-clojure
by aRustyDev
Convert Elm code to idiomatic Clojure. Use when migrating Elm frontend applications to Clojure/ClojureScript, translating The Elm Architecture to Clojure patterns, or refactoring type-safe functional code to dynamic functional style. Extends meta-convert-dev with Elm-to-Clojure specific patterns.
convert-elm-scala
by aRustyDev
Bidirectional conversion between Elm and Scala. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Scala specific patterns. Use when migrating Elm frontend applications to Scala backends or full-stack Scala, translating The Elm Architecture to functional Scala patterns, or refactoring type-safe functional code from compile-time guarantees to more powerful type system features. Extends meta-convert-dev with Elm-to-Scala specific patterns.
convert-elm-erlang
by aRustyDev
Bidirectional conversion between Elm and Erlang. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Erlang specific patterns.
convert-clojure-roc
by aRustyDev
Bidirectional conversion between Clojure and Roc. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Clojure↔Roc specific patterns. Use when migrating Clojure applications to Roc's platform model, translating dynamic functional code to static functional style, or refactoring REPL-driven code to compile-time verified patterns. Extends meta-convert-dev with Clojure-to-Roc specific patterns.
convert-elm-roc
by aRustyDev
Bidirectional conversion between Elm and Roc. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Roc specific patterns. Use when migrating Elm frontend code to Roc applications, translating browser-based Elm to platform-agnostic Roc, or refactoring Elm web applications to Roc CLI/native tools. Extends meta-convert-dev with Elm-to-Roc specific patterns.
convert-elm-fsharp
by aRustyDev
Bidirectional conversion between Elm and Fsharp. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Fsharp specific patterns.
convert-clojure-elm
by aRustyDev
Bidirectional conversion between Clojure and Elm. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Clojure↔Elm specific patterns. Use when migrating Clojure projects to Elm, translating functional patterns from JVM to browser, or building type-safe frontends from Clojure logic. Extends meta-convert-dev with Clojure-to-Elm specific patterns for handling dynamic-to-static typing, REPL-driven to TEA architecture, and side effects to managed effects.
convert-erlang-elm
by aRustyDev
Convert Erlang code to idiomatic Elm. Use when migrating Erlang backend logic to Elm frontend applications, translating BEAM VM patterns to functional frontend code, or refactoring distributed systems to type-safe UIs. Extends meta-convert-dev with Erlang-to-Elm specific patterns.
convert-elixir-elm
by aRustyDev
Bidirectional conversion between Elixir and Elm. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elixir↔Elm specific patterns. Use when migrating server-side Elixir logic to frontend applications, translating BEAM concurrency patterns to The Elm Architecture, or refactoring Elixir codebases for browser-based UI. Extends meta-convert-dev with Elixir-to-Elm specific patterns.