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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
tensorboard-visualizer
Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category. Use when working
tensorflow-model-trainer
Build tensorflow model trainer operations. Auto-activating skill for ML Training. Triggers on: tensorflow model trainer, tensorflow model trainer Part of the ML Training skill category. Use when worki
train-test-splitter
Test train test splitter operations. Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category. Use when writing or running te
wandb-experiment-logger
Execute wandb experiment logger operations. Auto-activating skill for ML Training. Triggers on: wandb experiment logger, wandb experiment logger Part of the ML Training skill category. Use when workin
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
apache-spark-data-processing
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
vector-database-management
Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications
dataset-curator
Use this skill when designing, cleaning, deduplicating, or documenting datasets for model training and evaluation including schema design, class imbalance handling, and train/val/test splits. Not for
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
detecting-anomalies-in-industrial-control-systems
Deploys anomaly detection for OT/ICS environments using machine learning on OT network baselines, physics-based process models, and Modbus/DNP3/OPC UA traffic analysis to flag deviations, rogue device
detecting-business-email-compromise-with-ai
Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based fi
detecting-insider-threat-with-ueba
Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat ind
implementing-epss-score-for-vulnerability-prioritization
Queries FIRST's Exploit Prediction Scoring System (EPSS) API to fetch exploitation-probability and percentile scores for CVEs, then uses those scores to prioritize vulnerability remediation. Use when
python-sandbox
在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
ml-system-design-interview
Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, syst
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
minimind
Train a small GPT model from scratch in 2 hours — understand LLM architecture by building one. Use when: learning how LLMs work internally, training custom small language models, educational AI projec
pytorch
Assists with building, training, and deploying neural networks using PyTorch. Use when designing architectures for computer vision, NLP, or tabular data, optimizing training with mixed precision and d
scikit-learn
Assists with building, evaluating, and deploying machine learning models using scikit-learn. Use when performing data preprocessing, feature engineering, model selection, hyperparameter tuning, cross-
Real Estate Data Analysis with Random Forest and Visualization
Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
detecting-insider-threat-with-ueba
Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators s
litmus
Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledg
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.