ML Ops
Machine learning operations
m09-domain
by actionbook
"CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则"
ai-ml-data-science
by vasilyu1983
"End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining)."
openai-image-gen
by openclaw
Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.
django-patterns
by rohitg00
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure
ray-data
by Orchestra-Research
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
lambda-labs-gpu-cloud
by Orchestra-Research
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
dust-llm
by dust-tt
Step-by-step guide for adding support for a new LLM in Dust. Use when adding a new model, or updating a previous one.
Exploitability Validation Skill
by gadievron
This analysis is performed for defensive purposes, in a lab environment. Full permission has been provided.
domain-ml
by actionbook
"Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理"
model-usage
by elizaOS
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
jenkins-pipeline-intro
by jeremylongshore
Manage jenkins pipeline intro operations. Auto-activating skill for DevOps Basics. Triggers on: jenkins pipeline intro, jenkins pipeline intro Part of the DevOps Basics skill category. Use when working with jenkins pipeline intro functionality. Trigger with phrases like "jenkins pipeline intro", "jenkins intro", "jenkins".
pytorch-lightning
by Orchestra-Research
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
fine-tuning-with-trl
by Orchestra-Research
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
unsloth
by Orchestra-Research
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
openai-image-gen
by elizaOS
Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.
story-type-analyzer
by GongLingRui
分析故事题材类型，提炼创意元素与故事特色。适用于识别题材定位、提炼创意、分析市场受众
story-outliner
by GongLingRui
阅读理解故事文本，总结人物、关系、情节，整理成流畅大纲。适用于快速了解故事核心、为剧本创作提供大纲基础
saleor-django-migration
by saleor
Generate Django schema migrations for the Saleor codebase using manage.py makemigrations. Use when (1) a new Django model is created, (2) model fields are added/altered/removed, (3) user explicitly asks to create a migration. This skill covers ONLY synchronous schema migrations (CreateModel, AddField, AlterField, RemoveField, etc.) — NOT data migrations with RunPython or RunSQL. If unsure whether the migration is schema-only, ask the user.
baoyu-image-gen
by JimLiu
AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
ai-sdk-model-manager
by tambo-ai
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
development-pipeline
by popup-studio-ai
9-phase Development Pipeline complete knowledge. Use when user doesn't know development order or starts a new project from scratch. Use proactively when user asks about development order, phases, what to do first, or starts a new project without clear direction. Triggers: development pipeline, phase, development order, where to start, what to do first, how to begin, new project, 개발 파이프라인, 뭐부터, 어디서부터, 순서, 시작, 開発パイプライン, 何から, どこから, 开发流程, 从哪里开始, pipeline de desarrollo, fase, orden de desarrollo, por dónde empezar, qué hacer primero, pipeline de développement, phase, ordre de développement, par où commencer, que faire d'abord, Entwicklungspipeline, Phase, Entwicklungsreihenfolge, wo anfangen, was zuerst tun, pipeline di sviluppo, fase, ordine di sviluppo, da dove iniziare, cosa fare prima Do NOT use for: ongoing implementation, existing feature work, or bug fixes.
lmms-eval-guide
by EvolvingLMMs-Lab
Guides AI coding agents through the lmms-eval codebase - a unified evaluation framework for Large Multimodal Models (LMMs). Use when integrating new models, adding evaluation tasks/benchmarks, using the HTTP eval server, or navigating the evaluation pipeline architecture.
detailed-plot-analyzer
by GongLingRui
基于大情节点，深入分析并生成详细情节点描述及情节发展说明。适用于细化故事大纲、指导剧本写作、分析情节内在逻辑
databricks-docs
by databricks-solutions
"Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance."