3. Data, Science & AI

Identifies orphan earthquakes unassociated with mapped faults to reveal unmapped active structures via microseismicity analysis.

Statistical toolkit for paleoseismic research, including geostatistics, uncertainty quantification, and time series analysis.

Transforms user prompts into structured, context-aware formats for CircleTel project AI workflows.

Classifies speleothem anomalies into seismic, climatic, volcanic, or compound events to distinguish earthquake signals from climate/volcanic false positives.

Batch-generates AI images via OpenAI API with random prompts and auto-generates an HTML gallery for display.

Automates web content extraction, API data retrieval, and data parsing for efficient information gathering.

Analyzes correlations between speleothem anomalies and volcanic eruption records to rule out false positives and validate seismic interpretations using eVolv2k and VSSI data.

Tracks hidden emotional states in real-time to simulate realistic relationship dynamics in interactive applications.

Analyzes CDR records to determine active client sessions, session history, and termination causes for Interstellio/NebularStack systems.

Batch-generates images via OpenAI API with random prompts and outputs an HTML gallery.

Verifies earthquake claims by cross-referencing with fault databases to determine if an earthquake is 'dark' (unmapped fault) or pre-historical (known fault).

Command-line interface for accessing Oura Ring health data including sleep, activity, readiness, HRV, and workout metrics.

Generates or edits images using Google's Gemini 3 Pro Image model for AI-powered visual content creation.

Creates specialized AI sub-agents for Claude Code with custom system prompts and tool configurations to enable task-specific AI workflows.

Registers SynthesisFlow skills in AGENTS.md for AI agent discovery, triggered by setup commands or project initialization.

Manages data preparation and storage for the PromptWar̊e ØS Vector Memory Subsystem, enabling efficient vector-based retrieval in AI applications.

Converts PDF, EPUB, and other documents to structured Markdown/JSON/HTML using AI for accurate table, math, and form extraction.

Scrapes Instagram artist profiles and recent posts, including profile data and artwork images, and stores them in a database for data analysis or usage.

Converts markdown documents into RDF/TTL knowledge graphs by extracting entities and relationships for structured data representation.

Precise token counter for GPT, Claude, and Gemini models, ensuring accurate cost and performance metrics.

Measures, analyzes, and optimizes content performance using data-driven metrics and pattern recognition for informed decision-making.

Scrapes Instagram hashtag pages to collect artist data for GalleryTalk.io outreach, identifying emerging talent based on specified tags.

Converts PDF, EPUB, DOCX, PPTX, XLSX, HTML, and image documents to Markdown using Datalab cloud API.

Creates specialist subagents by analyzing detected technology stacks and usage patterns to enhance system adaptability.