Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Optimizes complex graph structures by identifying and removing redundant dependencies while maintaining critical spectral connectivity.
Navigates complex mathematical and philosophical state spaces using Badiou’s event ontology and modal logic constraints.
Implements 3-SAT reductions via colored subgraph isomorphism and non-backtracking geodesics for topological computing.
Generates balanced execution schedules by interleaving three deterministic color streams for parallel tasks and simulations.
Integrates Chicken Scheme with Geiser to provide graph 3-coloring, collaborative S-expression patterns, and Penrose diagram generation.
Facilitates cross-domain knowledge transfer using propagator networks and deterministic parallel processing.
Enhances Clojure development with semantic code navigation and similarity search using vector embeddings.
Enhances Clojure development by providing semantic code navigation and similarity search via CIDER embeddings.
Facilitates cross-domain knowledge synthesis using propagator-based networks to bridge conceptual gaps between different fields of study.
Implements and reasons about complete Segal spaces and local univalence within synthetic ∞-category theory.
Performs high-performance genomic interval analysis, coverage generation, and machine learning preprocessing using Rust and Python.
Builds, tests, and deploys specialized machine learning models for healthcare applications using clinical data and electronic health records.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold database for structural biology and drug discovery.
Analyzes and implements geographic map projections using category theory and manifold distortion metrics.
Analyzes social network dynamics and traces the diffusion of ideas using advanced topological math and cellular sheaf structures.
Updates beliefs systematically based on new evidence using probabilistic reasoning and Bayes' Theorem.
Reorders interaction sequences using entropy-based interleaving to maximize information gain and accelerate pattern learning.
Optimizes interaction sequences using information theory to maximize learning efficiency and pattern recognition.
Consults external AI models like Gemini and OpenAI to provide second opinions, code reviews, and alternative implementation plans.
Consults external LLMs like Gemini, OpenAI, and Qwen to provide second opinions, code reviews, and alternative implementation plans.
Facilitates exploratory abductive inference through iterative hypothesis-test loops within a multi-language REPL environment.
Integrates over 600 specialized AI models for image, video, and audio generation into your development workflow using the unified Replicate API.
Integrates AssemblyAI for cost-effective transcription, sentiment analysis, and PII redaction within your development workflow.
Integrates enterprise-grade real-time speech-to-text, speaker diarization, and low-latency audio processing into development workflows.
Enables high-accuracy speech-to-text transcription and audio processing using OpenAI's Whisper models.
Guides the selection, implementation, and optimization of vector databases like Pinecone, Weaviate, Chroma, and Qdrant for RAG-based AI applications.
Measures and optimizes data complexity by finding the shortest program representation to evaluate intelligence and algorithmic efficiency.
Streamlines audio and video transcription workflows by providing implementation patterns and comparative analysis for Whisper, Deepgram, and AssemblyAI.
Calculates geodesic paths, spherical trigonometry, and Riemannian manifold metrics for complex navigation and spatial modeling.
Integrates sophisticated AI capabilities including multi-tier LLM fallbacks, on-device models, and local image generation.
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