Browse Skills

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.

Systematic research methodology for LLM-assisted workflows. Transforms vague questions into structured inquiry plans using query decomposition, multi-pass retrieval, evidence synthesis, and PRISMA-inspired reporting.

Builds structured competitive intelligence analyses including competitor profiling, feature parity matrices, win/loss patterns, pricing intelligence, and sales battlecards using proven CI frameworks and market research methodologies.

Helps parents evaluate AI-generated parenting advice for developmental accuracy, recognize when AI oversimplifies child health decisions, understand cultural bias in AI parenting norms, and know when to consult pediatricians or child psychologists.

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 robust ETL and ELT data pipelines with focus on idempotency, incremental loading, data lineage, and orchestration. Guides implementation with Apache Airflow, dbt, and modern data stack tools.

Design and optimize production-grade NLP pipelines covering text preprocessing, tokenization, NER, sentiment analysis, and transformer-based architectures using spaCy and HuggingFace.

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.

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.

Guides ML practitioners in designing rigorous experiment tracking workflows using MLflow, Weights & Biases, and related tools, covering hyperparameter optimization, reproducibility, model registry, and team collaboration patterns.

Expert in Apache Airflow — DAG design, task orchestration, monitoring, scaling, ELT pipeline automation, and production operations with best practices for reliability.

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.

Expert in TensorFlow and Keras — model building, training, TF Serving, TF Lite, TFX pipelines, and production deployment on Google Cloud.

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.

Expert guidance for building production-grade LLM applications with LangChain. Covers chain composition with LCEL, RAG pipelines, agent systems, LangGraph workflows, prompt engineering, and production deployment with LangSmith observability.

Design and implement structured deep learning training workflows using PyTorch Lightning, covering LightningModule architecture, distributed training strategies, experiment tracking, checkpoint management, and production model deployment.

Optimize BigQuery deployments for maximum performance and minimum cost through partitioning, clustering, query tuning, and systematic cost control strategies.

Expert guidance for creating compelling geospatial visualizations and spatial data analysis. Covers map design, PostGIS spatial queries, web mapping libraries (Mapbox, Deck.gl, Leaflet), data formats, and location intelligence.

Expert guidance on designing, building, and querying knowledge graphs using ontology engineering, graph databases, NLP-based construction pipelines, and LLM/GraphRAG integration patterns.

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.

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.

Design, implement, and operate real-time event streaming systems using Redis Streams. Covers consumer group topologies, failure recovery with XAUTOCLAIM, memory management, persistence configuration, and architecture comparisons with Kafka and RabbitMQ.

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.