ML Ops
Machine learning operations
Skillsmatrix
by robdtaylor
Operator training and competency tracking for MNMUK machine shop. Supports IATF 16949 competency requirements and workforce planning. USE WHEN user asks 'who can run', 'training matrix', 'competency', 'skills matrix', 'operator certification', 'who is trained on', or workforce planning questions.
workout-generator
by LKB-99
"Generate personalized workout plans with progression and tracking. Use this skill when users want to create a workout routine, training program, or exercise plan. Triggers: workout, training, exercise, fitness plan, gym routine, treino, academia, plano de treino, rotina de exercícios."
data-poisoning
by pluginagentmarketplace
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
did-core
by hairyf
W3C DID Core specification—DID/DID URL syntax, data model, core properties, verification methods, services, representations, and DID methods.
benchmark-datasets
by pluginagentmarketplace
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
funsloth-upload
by chrisvoncsefalvay
Generate comprehensive model cards and upload fine-tuned models to Hugging Face Hub with professional documentation
Healthsafety
by robdtaylor
UK health and safety management for manufacturing operations. Covers risk assessments, COSHH, PPE, incident reporting, LOTO, manual handling, and emergency procedures. Aligned with UK HSE regulations and IATF 16949 clause 7.1.4. USE WHEN user says 'health and safety', 'risk assessment', 'COSHH', 'PPE', 'accident', 'incident', 'LOTO', 'lockout tagout', 'manual handling', 'emergency procedure', or needs safety compliance guidance.
funsloth-train
by chrisvoncsefalvay
Generate Unsloth training notebooks and scripts. Use when the user wants to create a training notebook, configure fine-tuning parameters, or set up SFT/DPO/GRPO training.
funsloth-hfjobs
by chrisvoncsefalvay
Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring
model-inversion
by pluginagentmarketplace
Privacy attacks to extract training data and sensitive information from AI models
model-extraction
by pluginagentmarketplace
Techniques to extract model weights, architecture, and training data through API queries
funsloth-local
by chrisvoncsefalvay
Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints
hytale-custom-blocks
by MnkyArts
Create custom block types for Hytale with textures, physics, states, farming, and interactions. Use when asked to "add a custom block", "create a new block type", "make blocks farmable", "add block interactions", or "configure block physics".
concept-explorer
by Semprini
Use this skill when the user asks "what is [concept]", "how does [feature] work", "explain [section]", "compare MD-DDL to [tool]", "why does MD-DDL [design choice]", or any question about a specific part of the standard. Also use when the user wants to understand the reasoning behind a design decision or the trade-offs between alternatives (entity vs enum, canonical vs bounded context, etc.).
fine-tuning-with-trl
by magnetoid
"TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF."
recent-form-review
by tomevault-io
Review a validated recent-match summary and deterministic report using attributable RiftCoach knowledge. Use for recent form, recent match trends, recurring weaknesses, or short training-priority requests. Use when this capability is needed.
stable-diffusion-image-generation
by magnetoid
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
modal-serverless-gpu
by magnetoid
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
huggingface-tokenizers
by magnetoid
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
orientation
by Semprini
Use this skill on first contact, when the user asks "what is MD-DDL", "where do I start", "what can I do here", or describes their role and goals. Also use when the user asks for a general overview of the standard, the agent ecosystem, or the workflow.
lambda-labs-gpu-cloud
by magnetoid
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.
scvi-tools
by Victory-Hugo
单细胞组学深度生成模型。当需要概率批次校正(scVI)、迁移学习、带不确定性的差异表达或多模态集成(TOTALVI, MultiVI)时使用。最适合高级建模、批次效应、多模态数据。标准分析管道请使用scanpy。
tensorrt-llm
by magnetoid
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
nemo-curator
by magnetoid
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.