Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Coordinates multi-agent systems and graph neural networks using sheaf Laplacians for distributed consensus and harmonic inference.
Generates mass-action ODEs and dynamic simulations for epidemiological and ecological systems using stock-and-flow diagrams.
Replaces temporal sequencing with deterministic seed-chaining and color derivations for verifiable state transitions.
Implements Möbius inversion on posets and lattices to solve complex combinatorial problems, graph coloring, and centrality analysis.
Enables interdisciplinary synthesis across mathematics, music, and philosophy using structural morphisms and ontological world-hopping.
Models complex feedback systems and strategic dynamics using reinforcing and balancing loops with Lotka-Volterra semantics.
Analyzes graph topology using the Ihara zeta function and non-backtracking spectral methods to identify prime cycles and community structures.
Generates group-theoretic structures and computational algebraic objects for the Plurigrid ASI ecosystem.
Performs frequency-domain decomposition and graph Laplacian analysis for complex signal and topological structures.
Enhances AI reasoning by implementing two-stage deliberate attention mechanisms to filter context and reduce sycophancy.
Analyzes mathematical theorem dependencies using spectral random walks to discover comprehension neighborhoods and proof patterns.
Enables high-accuracy speech-to-text transcription and audio processing using OpenAI's Whisper models.
Interleaves three deterministic color streams into balanced schedules for parallel execution and evaluation.
Analyzes graph structures using the Ihara zeta function, non-backtracking walks, and spectral clustering techniques.
Guides the selection, implementation, and optimization of vector databases like Pinecone, Weaviate, Chroma, and Qdrant for RAG-based AI applications.
Identifies and matches audio content through advanced fingerprinting techniques for music recognition and automated segment detection.
Integrates sophisticated AI capabilities including multi-tier LLM fallbacks, on-device models, and local image generation.
Integrates AssemblyAI for cost-effective transcription, sentiment analysis, and PII redaction within your development workflow.
Models molecular biology gene regulatory networks using signed graphs for activation and inhibition logic.
Implements differential forms and exterior calculus on signal manifolds to bridge differential geometry and topological data analysis.
Integrates a persistent AI memory layer to manage user preferences and conversation context across multiple sessions.
Implements higher category theory and simplicial sets to provide a universal framework for homotopy-coherent signal processing and BCI modeling.
Generates sheaf-theoretic models and verifies logical propositions using Kripke-Joyal forcing semantics.
Integrates enterprise-grade real-time speech-to-text, speaker diarization, and low-latency audio processing into development workflows.
Implements advanced category theory frameworks to build compositional, causal, and explainable intelligence systems using polynomial functors and operads.
Optimizes LLM context usage through advanced token management, semantic chunking, and intelligent prompt compression.
Facilitates structured generation and algebraic modeling using colored operad composition.
Builds and manages stateful AI agents with long-term memory and persistent context using the Letta (MemGPT) framework.
Builds and integrates sophisticated AI workflows using the Glif platform for automated content and image generation.
Eliminates invalid and self-revisiting navigation paths in complex data structures using non-orientable topological constraints.
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