AI Agents Marketplace
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PowPow രജിസ്ട്രേഷൻ — കുമിള രജിസ്റ്റർ ചെയ്യുക, യാത്രാക്കുറിപ്പ് ഭൂപടത്തിൽ പിൻ ചെയ്യുക, ഡിജിറ്റൽ മനുഷ്യരുമായി സംസാരിക്കുക
ഉപയോക്താവിനെ സംഭാഷണത്തിനുള്ളിൽ തന്നെ PowPow (കുമിള) രജിസ്റ്റർ ചെയ്യാനും, Alipay/PayPal സബ്സ്ക്രിപ്ഷൻ ആക്റ്റിവേറ്റ് ചെയ്യാനും, വൺ-ക്ലിക്ക് ലോഗിൻ ചെയ്യാനും സഹാ...
ML Run Provenance
Design or audit self-describing ML run metadata attached at initialization, including intent, code and data identity, resume lineage, and evidence limits. Use when wiring a tracker, introducing a run naming pattern, or investigating why a run exists.
Ctf Ai Ml
Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, pro...
ML Experiment Tracker
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment def...
bigquery-ai-ml
# BigQuery AI & ML BigQuery integrates with Vertex AI to provide powerful machine learning and generative AI capabilities directly within SQL queries using built-in functions like `AI.FORECAST`, `AI.KEY_DRIVERS`, `AI.DETECT_ANOMALIES`, and `AI.GENERATE`. ## Attribution **MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read [Usage Attribution](references/attribution.md). For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix
ml-pipeline-workflow
# ML Pipeline Workflow Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. ## Overview This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring. ## When to Use This Skill - Building new ML pipelines from scratch - Designing workflow orchestration for ML systems - Implementing data → model → deployment automation - Setting up reprod
Advanced ML Classification Skill
自动化生成工业级机器学习分类算法代码、调用算法做预测、输出准确率对比和可视化结果，支持新手友好的结果解读。
Ml Visualizer
Visual analysis and diagnostic tools to help machine learning model selection. ml-visualizer, python, anaconda, estimator, machine-learning, matplotlib.
ML Pipeline
Complete machine learning pipeline for trading: feature engineering, AutoML, deep learning, and financial RL. Use for automated parameter sweeps, feature cre...
ML Evolution Agent
Auto-evolving ML competition agent. Learns from each experiment, accumulates HCC multi-layer memory, and continuously improves LB scores. Inspired by MLE-Ben...
ml-engineer
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep...
Pilot Ml Training Pipeline Setup
Deploy an end-to-end ML training pipeline with 4 agents. Use this skill when: 1. User wants to set up a machine learning training pipeline 2. User is configu...
ML Training
Train, evaluate, tune, and deploy supervised, unsupervised, and transfer learning models using PyTorch, TensorFlow, and scikit-learn on Nautilus.
Ml Ops
Deep MLOps workflow—reproducible training, experiment tracking, packaging, deployment, monitoring (drift, performance), governance, and rollback for ML. Use...
AI ML Engineer
Generate personalized AI/ML engineering career roadmaps based on individual experience, skills, and goals.
Ml Roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
Agent Ai Ml Ops Specialist
Imported specialist agent skill for ai ml ops specialist. Use when requests match this domain or role.
Non Tumor Ml Research Planner
Generates structured research designs for non-tumor biomedical machine learning studies, focusing on diagnostic models, biomarker discovery, and mechanism an...
Dual Disease Transcriptomic Ml Planner
Generates dual-disease transcriptomic and ML research designs for shared biomarkers, hub genes, and mechanisms, outputting four workload plans with workflows...
Ml Pipeline Starter
Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.
ML Engineering
Provides end-to-end methodology for defining, engineering, experimenting, deploying, and operating production ML/AI systems at scale.