Data & Analytics

Scholze-Clausen condensed mathematics bridge to sheaf neural networks

Colored stochastic six-vertex model with rainbow initial data, projection properties, and height functions tracking particle counts by color.

Binary visualization for human pattern recognition - Ghidra plugin by Chris Domas (xoreaxeaxeax)

bmorphism Diagrams

Interleave layer bridging the BigQuery cluster to plurigrid/asi. Routes BigQuery queries through asi's DuckDB stack, wires patent search into asi knowledge graph, connects Looker Studio dashboards to CatColab, and feeds BigQuery ML into the lolita physics emulation pipeline.

Generate bifurcation diagrams for dynamical systems. Use when visualizing parameter-dependent behavior transitions.

Combines AMP thread export with GF(3)-classified continuation for skill orchestration. Export threads as markdown, classify continuation choices as {-1:reductive, 0:neutral, +1:generative}, and fork parallel execution paths.

Measure ACSets better than authors via surjectivity gadgets, Betti numbers,

Comprehensive spreadsheet creation, editing, and analysis with support

Automated video processing: metadata extraction, thumbnails, transcoding, audio extraction with DuckDB tracking

UV/UVX zero-install Python with comma-syntax deps, justfile patterns, PEP 723 scripts

Interleave three deterministic color streams into balanced schedules

Topoi Hatchery

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

Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Handles PDF vision or JSON input.

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling

Detect DNS tunneling and data exfiltration by analyzing Zeek dns.log for high-entropy subdomain queries, excessive query volume, long query lengths, and unusual DNS record types indicating covert channel communication.

Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis, jitter calculation, and coefficient of variation scoring to detect periodic callbacks from compromised endpoints.

Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.

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.

Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs. Uses pandas for behavioral analytics and statistical baselines. Use when investigating insider threats or building user behavior analytics for data loss prevention.

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.

Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.

Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the ZAT library to load Zeek logs into Pandas DataFrames, calculates inter-arrival time standard deviation, and flags periodic connections with low jitter. Use when hunting for command-and-control callbacks in network data.