Agent skills directory

Mixpost is a self-hosted social media management software that helps you schedule and manage your social media content a...

Miyabi CoordinatorAgent統合スキル - DAGベースのタスク統括・並列実行制御。GitHub Issueを複数タスクに分解し、依存関係グラフを構築して並行実行を統括。Use when:- 複数タスクの並列実行が必要な時...

Build responsive email templates using MJML markup language. Compiles to cross-client HTML that works in Outlook, Gmail,...

Build responsive email templates using MJML markup language. Compiles to cross-client HTML that works in Outlook, Gmail,...

Comprehensive guide for creating and managing MkDocs documentation projects with Material theme. Includes official CLI c...

Build professional project documentation with MkDocs and Material theme. Covers site configuration, navigation, plugins,...

Generate mkdocs config generator operations. Auto-activating skill for Technical Documentation. Triggers on: mkdocs conf...

Mkdocs Config Generator - Auto-activating skill for Technical Documentation.Triggers on: mkdocs config generator, mkdocs...

MkDocs Material documentation management. This skill should be used when writing, formatting, or validating documentatio...

Generate MkDocs documentation sites with Material theme, mkdocstrings for API docs, and versioning. Use when setting up...

Generate MkDocs documentation sites with Material theme, mkdocstrings for API docs, and versioning. Use when setting up...

Use when deploying MkDocs documentation to GitHub Pages with GitHub Actions - covers Python-Markdown gotchas (indentatio...

Use when deploying MkDocs documentation to GitHub Pages with GitHub Actions - covers Python-Markdown gotchas (indentatio...

MkDocs with Material theme expertise for Python-centric documentation. Configure navigation, plugins, multi-language sup...

Defines specific rules related to MkDocs usage, including structure, plugins, themes, and customization configurations.

Generate a language translation for a mkdocs documentation stack.

Generate a language translation for a mkdocs documentation stack.

Digital marketing, paid traffic, growth, Meta Ads, Google Ads, funnels, copy, metrics, social media, email marketing, SE...

/============================================================================/

Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues...

Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.

ML 모델 벤치마크 및 평가 실행. "벤치마크", "모델 평가", "성능 테스트", "inference 속도" 요청 시 활성화됩니다.

Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine lear...

Detects and prevents data leakage in machine learning and mathematical modeling. Auto-activates after ML tasks involving...

Prepares ML models for production deployment with containerization, API creation, monitoring setup, and A/B testing. Act...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

- Working on ml engineer tasks or workflows

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Production machine learning systems and model serving infrastructure. Use when building ML pipelines, deploying models t...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

- Working on ml engineer tasks or workflows

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization....

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature en...

Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.

Track ML experiments with proper logging and reproducibility. Use when training models or running experiments.

Track ML experiments with proper logging and reproducibility. Use when training models or running experiments.

Use when designing ML experiments, choosing evaluation metrics, tracking experiments, tuning hyperparameters, debugging...

Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for sys...

Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to stan...

Expert-level machine learning, deep learning, model training, and MLOps

Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and per...

ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Us...

ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Us...

ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Us...

Machine learning integration patterns for rRNA-Phylo covering three use cases - rRNA sequence classification (supervised...

Memory systems specialist for hierarchical memory, consolidation, and outcome-based learningUse when "memory system, mem...

LLM and ML model serving with vLLM, TGI, Triton, and TorchServe. Covers quantization formats (GPTQ/AWQ/GGUF), batching s...

Serve models with A/B testing, monitoring, retraining.

Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and mo...

Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.

Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and val...

Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and...

Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparamet...

Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and p...

Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and p...

Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and p...

Use this skill when deploying ML models to production, setting up model monitoring, implementing A/B testing for models,...

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use whe...

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research re...

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research re...

Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature store...

Coordinate ML-related analysis work by defining the problem, identifying required data, planning extraction, analyzing r...

Single entry point for ML-related tasks. Orchestrates three roles across a data-driven analysis pipeline: Product Manage...

Coordinate ML-related analysis work by defining the problem, identifying required data, planning extraction, analyzing r...

Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or en...

ML pipeline design with Metaflow, Kubeflow, and ZenML including GPU steps, artifact tracking, and production patterns.

Orchestrates complete machine learning pipelines within SpecWeave increments. Activates when users request "ML pipeline"...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Us...

Plan ML projects using CRISP-DM, TDSP, and MLOps methodologies with proper phase gates and deliverables.

ML research for RAN with reinforcement learning, causal inference, and cognitive consciousness integration. Use when res...

WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks...

Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines

Domain-specific ML expert for NLP, Computer Vision, and Time Series. Text classification, NER, sentiment (BERT, transfor...

When the user wants to apply machine learning to supply chain problems, build ML models, or use AI for predictions. Also...

End-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructu...

Use when designing end-to-end ML systems, choosing batch vs streaming inference, preventing training/serving skew, build...

Diagnose and stabilize ML training runs, recover from failures, and deliver validated fixes.