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Data & AI

Score phone numbers using Trestle's phone_intel API and produce DataSift/REISift-ready CSVs with phone tags for prioritized dialing.

Data & AI

Simulate flash loan strategies with profitability calculations and risk assessment across Aave, dYdX, and Balancer.

Data & AI

Skill for analyzing charts and extracting insights.

Data & AI

Persistent semantic memory for AI agents. Store, search, recall, and forget memories across sessions using Qdrant + FastEmbed.

Data & AI

Scans manuscripts and code for W1 vs W2 inconsistencies, ensuring compliance with the project's Wasserstein notation standard.

Data & AI

Numeric data validation tool. Reads structured files (CSV, TSV, Excel), checks numeric fields against min/max thresholds, and outputs processed files with QC marks.

Data & AI

Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns.

Data & AI

Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch. Use `graphsignal-run` or `graphsignal.watch()` for GPU profiling, tracing, and monitoring.

Data & AI

Extract validated financial data from Datarails Finance OS to Excel workbooks. Generates sheets for P&L, Balance Sheet, KPIs (including ARR), and validation checks. Useful for financial analysts who need structured, cross-checked financial reports from the Datarails platform.

Data & AI

Identify signed-up users matching the ideal customer profile but stalled, then draft personalized re-engagement outreach.

Data & AI

Predict persona performance in specific task contexts.

Data & AI

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