Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements search architectures that combine vector similarity and keyword matching to maximize retrieval precision and recall.
Optimizes Apache Spark workloads through advanced partitioning, memory management, and shuffle tuning strategies.
Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and structured prompt templates.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking to ensure performance and quality.
Builds production-ready Apache Airflow pipelines using industry best practices for orchestration, testing, and error handling.
Integrates Azure AI Search capabilities into TypeScript applications, including vector, hybrid, and semantic search implementations.
Builds and embeds sophisticated AI agents and programmable workflows into custom applications using the GitHub Copilot SDK.
Generates and maintains standardized code examples for Vercel AI SDK functions and provider integrations.
Builds production-grade AI-powered applications, agents, and chatbots using the Vercel AI SDK for TypeScript.
Architects sophisticated LLM applications using LangChain for autonomous agents, complex chains, and context-aware memory systems.
Optimizes vector index performance to achieve high-speed search, low memory consumption, and superior recall rates.
Simplifies the creation of data-centric LLM applications by providing patterns for RAG, document ingestion, and vector indexing.
Designs and builds autonomous AI agents by providing architectural frameworks for capabilities, knowledge management, and agentic loops.
Builds sophisticated financial models, backtests trading strategies, and implements risk management metrics using vectorized operations.
Enhances and upscales image and video resolution using high-performance AI models via the Fal.ai platform.
Designs and implements sophisticated memory architectures including short-term, long-term, and graph-based persistence layers for AI agents.
Manages fal.ai models, monitors real-time pricing, and tracks API usage for high-performance AI applications.
Builds and automates production-grade machine learning pipelines, experiment tracking systems, and cloud-native ML infrastructure.
Optimizes AI performance through dynamic context engineering, vector database orchestration, and intelligent memory systems for complex workflows.
Performs advanced statistical analysis, machine learning modeling, and data-driven business intelligence to extract actionable insights from complex datasets.
Builds production-ready LLM applications, advanced RAG systems, and intelligent agent architectures with a focus on scalability and safety.
Executes autonomous multi-step research tasks and synthesizes findings into comprehensive, cited reports using Gemini.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback loops, and benchmarking.
Integrates fal.ai audio models into Claude Code for seamless text-to-speech and speech-to-text processing.
Facilitates advanced protein design, structure prediction, and representation learning using the Evolutionary Scale Modeling (ESM) toolkit.
Processes and analyzes enterprise RAG retrieval results through statistical computation, format conversion, and automated report generation.
Refactors agentic architectures by integrating agentic-flow@alpha to eliminate code redundancy and maximize swarm performance.
Trains and deploys custom neural network architectures across distributed sandbox environments.
Orchestrates intelligent agent swarms, manages secure code sandboxes, and handles application deployment within the Flow Nexus ecosystem.
Implements adaptive learning and meta-cognitive capabilities to enable AI agents to recognize patterns and optimize strategies through continuous experience.
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