3. Data, Science & AI

Rust-based toolkit for developing machine learning and AI applications, supporting model training, inference, and neural networks with libraries like tch-rs and candle.

Builds goal-driven AI agents with node-based workflows and LLM reasoning for complex multi-step automation tasks.

Automates batch data collection by concurrently scheduling researcher agents to scrape multiple data sources efficiently.

Configures and runs LLM prompt evaluations using Promptfoo, supporting custom assertions and rubric-based scoring for model comparison.

Automates correction of speech-to-text errors in transcripts using AI and dictionary rules, learning personalized patterns for multilingual content.

Compares two videos for quality differences using PSNR and SSIM metrics, generating interactive HTML reports with frame-by-frame visual analysis.

Provides design patterns, testing frameworks, and management tools for building and maintaining AI applications using large language models (LLMs).

Structures AI content via semantic triples, page templates, and content clusters to enhance citation accuracy and relevance in AI systems.

Enables event tracking, feature flag management, and dashboard creation for product analytics using the PostHog platform.

Reference guide for latest AI models including Claude, OpenAI, Gemini, Eleven Labs, and Replicate platforms.

Provides context preservation, tiered summarization, and resumability for seamless AI session continuity.

Builds AI-powered Microsoft Teams bots using Claude/OpenAI, Adaptive Cards, and Graph API for intelligent user interactions and data integration.

Critical guide for using Claudish CLI through sub-agents to interface with AI models (OpenRouter, Gemini, OpenAI), preventing direct usage and context pollution.

Generates secure, optimized database queries with parameterization, eager loading, and strategic indexing to prevent N+1 issues and SQL injection.

Generates evidence-based clinical decision support documents with statistical analysis, biomarker stratification, and regulatory compliance for pharmaceutical research.

Creates AI-generated scientific slide decks with structure, design guidance, and timing recommendations for research presentations and academic defenses.

Enables direct PostgreSQL database access for querying, table inspection, migration status checks, and database issue debugging in local/staging environments.

Comprehensive guide for writing efficient Neo4j Cypher read queries, covering modern syntax, patterns, and best practices for graph data retrieval.

Lists all metric functions available in the R yardstick package for model evaluation in data science and machine learning workflows.

Generates publication-quality scientific diagrams, flowcharts, and neural network schematics using Python libraries with automated quality verification.

Converts PDFs, Office files, images, audio, and web content to LLM-optimized Markdown via text extraction, OCR, and transcription.

Accesses 600+ scientific tools, datasets, and APIs for bioinformatics, genomics, drug discovery, and computational biology workflows.

Toolkit for creating, editing, and analyzing spreadsheet data with formula support, formatting, and visualization capabilities.

Programmatic PDF manipulation toolkit for text/table extraction, document creation, merging, splitting, and form filling.