Find the perfect skill

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

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

Designs data-quality monitoring for production data: six-dimension checks placed at the right pipeline stage, with severity, owner, failure action, SLAs, and incident routing. Produces monitor specs and quarantine policies.

Data & AI

Expert ML engineer specializing in production-ready machine learning systems. Masters modern ML frameworks, model serving, feature engineering, and ML infrastructure.

Data & AI

Generate publication-ready statistical tables using gt, kableExtra, or flextable. Covers descriptive statistics, regression results, ANOVA tables, correlation matrices, and APA formatting.

Data & AI

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