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Data & AI

Apply general knowledge reasoning across diverse domains — trivia, commonsense inference, analogy, and factual question answering.

Data & AI

Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy, pandas, matplotlib, scipy.

Data & AI

Automates bank reconciliation by matching book transactions to bank transactions, detecting discrepancies, and tracking outstanding items. Useful for monthly closing, balance verification, and resolving unmatched transactions across multiple accounts and currencies.

Data & AI

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Data & AI

Generates matplotlib figure code following project conventions for publication-ready figures.

Data & AI

Run IV, DiD, and RDD causal analyses in R with proper diagnostics, panel data visualization, and robust standard errors.

Data & AI

Execute DeepConsult workflow for advanced medical research synthesis using reasoning models.

Data & AI

Local-first cross-harness memory for agents. Gives agents syke ask, syke memex, and syke record for continuity across sessions.

Data & AI

Load, clean, and analyze datasets of various formats. Create visualizations, detect patterns, and build predictive models using statistical methods. Ideal for exploratory data analysis, time series forecasting, and generating professional reports.

Data & AI

Automates bank reconciliation for Israeli banks using the israeli-bank-scrapers library. Matches transactions to invoices and generates reports.

Data & AI

Optimize context window usage for OpenRouter models to reduce cost and improve quality. Use when hitting context limits, managing long conversations, or building RAG systems.

Data & AI

Build and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization.