turso
Implements Turso edge SQLite database with libSQL client, embedded replicas, and vector search. Use when building edge-first apps, implementing embedded…
Skills
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Updated 11-05 00:16
Data & analytics
17,418 results
vercel-analytics
Implements privacy-friendly web analytics with Vercel Analytics for traffic insights and Web Vitals. Use when tracking page views and performance metrics in…
usaspending-enrichment
Refresh USASpending enrichment artifacts (vendor landscape, trends, and contract officer intelligence). Use when user asks for market intelligence context or…
docs-diagram
Generate Mermaid diagrams from codebase analysis including architecture, database schema, deployment, and security diagrams. This skill should be used when…
project-planner
Break down large projects into dependency-aware tasks with progress tracking and visualization. This skill should be used when users want to plan complex…
airflow-dag-patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating…
analytics-tracking
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google…
data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation…
data-storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data…
database-migration
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating…
dbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data…
gdpr-data-handling
Implement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal…
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards,…
gsap-utilities
Use when using GSAP utility functions, math helpers, data transformations, or when working with clamp, mapRange, random, and other GSAP utilities.
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides…
nft-standards
Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts,…
pci-compliance
Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI…
postgresql
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
risk-metrics-calculation
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or…
schema-markup
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured…
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval…
sql-optimization-patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when…
supabase-postgres-best-practices
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or…
azure-ai-fine-tuning
Use when the user wants to fine-tune a model on Azure AI Foundry — including dataset preparation, training, evaluation, and deployment.