MLOps
Operacions d’aprenentatge automàtic
starwave:design
ArjenSchwarz
Create Feature Design Document
rails-model-generator
ThibautBaissac
Creates Rails models using TDD approach - spec first, then migration, then model. Use when creating new models, adding model validations, defining associations, or setting up database tables.
rails-presenter
ThibautBaissac
Creates presenter objects for view formatting using SimpleDelegator pattern with TDD. Use when extracting view logic from models, formatting data for display, creating badges/labels, or when user mentions presenters, view models, formatting, or display helpers.
transformers
ynulihao
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
implementing-mlops
ancoleman
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.
Businessstrategy
robdtaylor
MBA-trained business strategist with full commercial awareness. USE WHEN user says 'business plan', 'financial analysis', 'P&L', 'cash flow', 'valuation', 'market analysis', 'competitive analysis', 'SWOT', 'business model', 'unit economics', 'fundraising', 'pitch deck', or needs strategic business guidance.
funsloth-runpod
chrisvoncsefalvay
Training manager for RunPod GPU instances - configure pods, launch training, monitor progress, retrieve checkpoints
chapter3-guide
orientpine
"Chapter 3 (사업 목표 및 추진 전략) 작성 가이드 - 템플릿 및 요구사항 통합"
Quality Scoring
akaszubski
Multi-dimensional data assessment for training quality evaluation
quality-scoring
akaszubski
"Multi-dimensional data assessment for training quality evaluation including IFD scoring, factuality, and reasoning validation. Use when scoring training data or evaluating dataset quality. TRIGGER when: quality scoring, data assessment, IFD, factuality, training data quality. DO NOT TRIGGER when: code quality, test coverage, documentation, non-data tasks."
prompt-engineering
akaszubski
"Prompt engineering patterns for writing agent prompts and skill files — constraint budgets, register shifting, HARD GATE patterns, anti-personas. Use when writing or reviewing agents/.md or skills//SKILL.md. TRIGGER when: agent prompt, skill file, prompt engineering, model-tier compensation, HARD GATE, prompt quality. DO NOT TRIGGER when: user-facing docs, README, CHANGELOG, config files."
dspy-4-optimizers
vamseeachanta
'Sub-skill of dspy: 4. Optimizers.'
geo-infer-bayes
ActiveInferenceInstitute
Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.
dspy-optimization-not-improving
vamseeachanta
'Sub-skill of dspy: Optimization Not Improving (+2).'
geo-infer-org
ActiveInferenceInstitute
Organizational modeling for geospatial entities. Use when modeling organizational structures, spatial resource allocation, inter-organizational network analysis, or institutional spatial analysis for governance.
geo-infer-ai
ActiveInferenceInstitute
Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, or selecting between ML approaches for spatial problems.
solo-retro
fortunto2
Post-pipeline retrospective — parse logs, score process quality, find waste patterns, suggest skill/script patches. Use after pipeline completes or when user says "retro", "evaluate pipeline", "what went wrong", "pipeline review", "check pipeline logs".
dspy-example-1-engineering-report-analysis-pipeline
vamseeachanta
'Sub-skill of dspy: Example 1: Engineering Report Analysis Pipeline (+2).'
geo-infer-risk
ActiveInferenceInstitute
Geospatial risk modeling including catastrophe models, exposure analysis, and underwriting. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk metrics.
solo-pipeline
fortunto2
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", or "chain skills". Do NOT use for single skills (use the skill directly).
geo-infer-ag
ActiveInferenceInstitute
Precision agriculture and soil health modeling. Use when analyzing soil health, crop water usage (FAO-56), carbon sequestration (IPCC Tier 1), precision farming, or agricultural land management.
deepagents-implementation
existential-birds
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
ml-experiment-tracker
organvm-iv-taxis
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
handoff
blacktop
Generate optimized handoff prompts for delegating tasks to LLM agents. Use when needing to hand off work to another agent (GPT-5.2/Codex, Claude Opus 4.5/Sonnet 4, or Gemini 3 Pro/Flash), whether for a sub-task/parallel task within the same project or a fresh start handoff to a new agent context. Triggers on requests like "create a handoff prompt", "delegate this task to another agent", "hand this off", or "prepare context for another agent".