Data & Analytics

Counterfactual conceptual string rewriting with trapezoid termination for recursive rendering of phenomenologically-rich diagrams.

Skill statistics, thread usage analysis, GF(3) conservation tracking, and probe verification for the 443+ skill ecosystem

Intent taxonomy and morphisms across 15 amp threads

Evaluates messages and actions against 23 empirically-grounded relational norms from Miller's Intimate Relationships (9th ed). Returns relational assessments for communication filtering, conflict pattern analysis, and trust erosion detection.

Transform single property/neighborhood images into photorealistic 3D Gaussian Splats using Apple's ml-sharp, enabling virtual walkthroughs from a single photograph. Bridge to PropertyPriceOracle for valuation analytics.

Von Holst reafference and corollary discharge for behavioral verification and signal processing

Quarto + Julia Skill

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

P-adic ultrametric distance for UMAP/itUMAP/HNSW with Snowflake Arctic

The Lake-Salakhutdinov-Tenenbaum challenge for human-level concept learning through probabilistic program induction. Learn new concepts from a single example.

> Unified observatory for learning in, on, and from nonlinear dynamical systems. Integrates dysts (attractor corpus), lolita (latent diffusion physics emulation), bayesian-breathing (Bayesian state estimation), geomstats (Riemannian manifold geometry), neuraloperator (FNO/DeepONet), panda (Patched Attention), and hoi (higher-order interactions). Use when working with strange attractors, physics emulation, attractor identification, or Riemannian geometry of dynamical systems. >>>>>>> origin/main

Model Nix store as Attributed C-Set for dependency verification, GC analysis,

Bridge layer connecting tweag/monad-bayes to plurigrid/asi. Routes SMC/MCMC/PMMH/RMSMC monad transformer stacks into asi's abductive reasoning, lolita physics emulation, and GF(3)-colored sampling capabilities.

Turbulence scaling theory: K41 energy cascade, Onsager's anomalous dissipation, and Hurst exponent for long-range dependence

- `alphafold-database` - Protein structure prediction

Fisher-Rao metric on statistical manifolds with natural gradient and divergence analysis

Large-scale graph analytics for entity resolution, network analysis, and relationship mapping. Based on methodologies from Project Domino (1B+ node COVID misinformation graphs) and ICIJ's Panama/Paradise Papers investigations.

Information geometry for Bayesian inference. Fisher-Rao metric on statistical manifolds, Riemannian optimization for model selection, Wasserstein geodesics connecting geomstats to Gromov-Wasserstein optimal transport.

Gay Monte Carlo Measurements

**Category:** Phase 3 Core - Alternative Learning Paradigms

1. **Category Theory & ACSet Implementations** - Categorical data structures, functorial programming

Query Dune Analytics API for blockchain data, pyUSD flows, stablecoin metrics, and on-chain analytics. Use when analyzing DeFi protocols, token flows, or building dashboards.

This skill enables content-addressed interoperability between three Syrup implementations:

Machine learning environment for automated theorem proving with Coq.