Browse Skills

Designs end-to-end computer vision pipelines including model selection (CNN/ViT/YOLO), data augmentation, training strategies, transfer learning, and production deployment with ONNX/TensorRT optimization for cloud and edge.

Guide systematic exploratory data analysis workflows — from initial profiling through distribution analysis, correlation discovery, and hypothesis generation — using statistical rigor and effective visualization.

Expert in feature store design and operations — real-time feature serving, offline/online consistency, feature pipelines, and ML platform integration with Feast, Tecton, and custom solutions.

Design and implement digital twin systems that create virtual representations of physical assets using IoT sensor data, simulation models, and cloud platforms for predictive maintenance and operational optimization.

Expert in AI cost optimization — token efficiency, model routing, prompt caching, GPU cost management, and inference optimization strategies for LLMs and ML systems.

Designs unified customer profiles using Segment, RudderStack, or custom CDP solutions with identity resolution, event streaming, audience segmentation, and privacy-compliant data governance.

Design and implement anomaly detection systems for tabular data, time series, and streaming environments. Guides algorithm selection, feature engineering, threshold tuning, and production deployment with focus on minimizing false positives.

Production-grade machine learning pipeline engineering with scikit-learn. Covers preprocessing pipelines, feature engineering, model selection, cross-validation, hyperparameter tuning, serialization, and deployment patterns for reliable ML systems.

Expert regression analysis guidance covering model selection, diagnostics, regularization, and causal inference across OLS, GLM, and ML techniques.

Designs, builds, and validates high-quality training datasets for LoRA fine-tuning of large language models, applying data-centric AI principles and instruction-tuning best practices to maximize model performance per training example.

Design and implement comprehensive Google Analytics 4 event tracking strategies with proper taxonomy, data layer architecture, and consent-aware measurement.

Helps users critically evaluate AI-generated financial advice, understand regulatory boundaries (MiFID II, BaFin, SEC), detect hallucinated financial information, and know when to consult a licensed financial advisor.

Transforms content to channel-optimal lengths using empirical engagement data for 12+ platforms. Handles truncation-aware restructuring, hook positioning, and format-specific constraints from Reddit to TikTok.

Transforms Claude into an evidence-based Socratic tutor that teaches through structured questioning rather than direct answers. Applies cognitive science frameworks (Bloom's taxonomy, zone of proximal development, cognitive load theory, retrieval practice) to guide learners toward genuine understanding. Adapts question complexity, manages scaffolding, and builds metacognitive skills across any subject domain.

Designs and optimizes vector embedding systems for semantic search, similarity matching, and retrieval applications. Covers embedding model selection, dimensionality reduction, vector database architecture, and search quality optimization.

Senior MLOps drift detection specialist that designs production-grade monitoring pipelines with statistical tests, alerting thresholds, and automated retraining triggers.

Design and implement automated data quality validation pipelines using Great Expectations, with expectation suite design, threshold calibration, and integration into dbt, Airflow, and Spark workflows.

Designs effective prompts and prompt chains for LLM applications. Covers chain-of-thought reasoning, few-shot learning, system prompt architecture, output formatting, prompt evaluation, and reusable template design.

Expert analytics engineering skill for dbt Core/Cloud — guides you through SQL-based data modeling with staging/intermediate/mart layers, dimensional modeling (Kimball methodology), incremental models, SCD Type 2 snapshots, comprehensive testing strategies, Jinja macros, dbt packages, and warehouse-specific optimization for Snowflake, BigQuery, and Redshift.

Design and build Salesforce reports, dashboards, and CRM Analytics solutions that transform raw CRM data into actionable business intelligence for sales, marketing, and customer success teams.

The concierge for 1,100+ SupaSkills. Describe what you need in plain language and Skill Navigator diagnoses your task, identifies the right domain and category, and recommends 1 to 3 specific skills with clear reasoning. Like a librarian who knows every book on every shelf.

Helps older adults (60+) and their families understand AI tools safely, recognize health information risks amplified by low digital literacy, protect against AI-enabled scams, and use AI companions responsibly.

Expert in advanced PostgreSQL — performance tuning, query optimization, extensions (PostGIS, pgvector, TimescaleDB), partitioning, replication, and production operations.

Design and build production-grade Power BI dashboards with optimized data models, advanced DAX measures, and professional visualization layouts. Get expert guidance on star schema modeling, performance tuning, Row-Level Security, and deployment pipelines.