Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Designs and implements robust multi-agent systems to overcome context limits and handle complex, parallelizable tasks.
Design and implement advanced memory architectures to help AI agents persist state, maintain entity consistency, and reason over structured knowledge.
Diagnoses and mitigates performance loss in AI agents by identifying patterns like lost-in-middle, context poisoning, and distraction.
Master the mechanics, constraints, and optimization strategies of context within AI agent architectures to improve performance and reduce costs.
Executes machine learning examples on remote GPU hosts via SSH by syncing minimal workspaces and launching Docker-based training scripts.
Design and implement sophisticated memory architectures for AI agents to maintain state, consistency, and long-term knowledge.
Provides a unified local API for ASR, TTS, translation, and image generation optimized for Apple Silicon.
Transforms vague human intent into structured, production-ready prompt artifacts through iterative clarification.
Maps LinkML enum permissible values to verified ontology terms and CURIEs using the Ontology Access Kit (OAK).
Implements robust pipes-and-filters architectures for complex ETL, media processing, and data transformation workloads.
Provides rigorous, PhD-level critiques of academic manuscripts and research methodologies to ensure high-impact scholarly standards.
Bootstraps a production-ready LangChain TypeScript project with optimal configuration for AI agents and LangGraph.
Automates the end-to-end machine learning lifecycle including data preprocessing, model selection, and hyperparameter optimization.
Enhances AI agents with high-performance adaptive learning and vector-based experience replay to improve decision-making over time.
Enables high-performance semantic vector search and intelligent document retrieval for RAG systems and knowledge bases.
Manages and executes complex ComfyUI image generation workflows and model lifecycles directly within Claude Code.
Implements adaptive learning systems for Claude to recognize patterns, optimize strategies, and continuously improve through experience.
Train and deploy distributed neural networks in isolated E2B sandboxes with automated cluster management.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.
Implements nine reinforcement learning algorithms to train autonomous agents that improve through experience.
Fine-tunes AI models on 0G's decentralized GPU network using a streamlined CLI and SDK workflow.
Generates accurate, data-driven charts and business visualizations using Python for professional reports and analysis.
Implements high-performance persistent memory and context management for AI agents using AgentDB and vector storage.
Optimizes agent behavior by automatically identifying the active LLM and adjusting execution configurations for maximum cross-model compatibility.
Provides comprehensive China A-share financial data including real-time quotes, historical K-lines, and corporate announcements via the AkShare library.
Automates structured entity extraction and data validation using the Cohere v2 Python Chat API and strict JSON Schema enforcement.
Configures Ollama as a local embedding provider to enable private, offline semantic code search within GrepAI.
Automates complex quantum chemistry workflows and molecular simulations through a high-level cloud-based Python API.
Optimizes semantic code search by configuring precise file splitting and embedding parameters within GrepAI.
Connects Claude to the K-Dense Web AI co-scientist platform for executing complex, end-to-end scientific research workflows.
Scroll for more results...