Complex schema work needs clear entity boundaries and relationships. This skill guides Claude, Codex, and Claude Code through Mermaid models and CloudBase data-model tool use.

BigQuery dashboards can become slow, costly, and hard to govern. This skill helps create Looker Studio data sources, SQL models, filters, layouts, and access controls.

Poor schema choices cause slow queries, data duplication, and risky migrations. This skill guides SQL and NoSQL schema design, indexing, relationships, and migration planning.

Raw datasets can hide quality issues, trends, and weak assumptions. This skill guides profiling, cleaning, statistics, visualization, and reporting with reproducible steps.

Slow queries and schema drift can make Postgres apps hard to scale. This skill gives AI agents Supabase-backed rules for indexes, RLS, pooling, and diagnostics.

Duplicate cleanup can remove unique information when identity rules are unclear. This skill creates evidence-rich reports and gates every mutation behind explicit review.

Teams need schemas that preserve data integrity and stay fast as products grow. This skill turns domain requirements into SQL or MongoDB designs with indexes, constraints, and migration guidance.

Blockchain teams need fast answers from SubQuery and SubGraph endpoints. This skill routes natural-language questions through Ask GraphQL MCP for endpoint-aware analysis.

Web pages are hard to convert into clean, reusable data. This skill helps Claude, Codex, and Claude Code use Crawl4AI for crawling, markdown, and extraction workflows.

Vector search tuning can waste memory and hide recall regressions. This skill gives practical benchmarks, parameter guidance, and monitoring checks for production indexes.

Vector search projects need clear architecture choices before teams commit to an index or database. This skill guides retrieval design, embedding strategy, and tuning for production systems.

Teams need accurate Neon setup guidance across drivers, APIs, and local workflows. This skill directs Claude, Codex, and Claude Code to official Neon references.

Startup teams often track too many metrics or miss the numbers investors expect. This skill helps Claude, Codex, and Claude Code build focused metrics plans with formulas, benchmarks, and review cadences.

Startup founders need credible projections for planning, hiring, and fundraising. This skill structures assumptions into revenue, cost, headcount, cash flow, and scenario analysis.

Complex SQL work can slow teams when schemas, indexes, and workloads are unclear. This skill guides query tuning, schema design, and cloud database decisions.

Inconsistent analytics events weaken reporting and customer profiles. This skill provides Segment patterns for browser, server, identity, routing, governance, and HTTP tracking.

Manual Segment calls are error-prone, and schemas can change. This skill discovers current tools and guides authenticated event, identity, group, page, and batch operations.

Portfolio risk reviews need consistent VaR, CVaR, drawdown, and risk-adjusted return calculations. This skill guides Claude, Codex, and Claude Code through clear risk metric patterns.

Trading decisions can hide concentration, drawdown, and position sizing risk. This skill structures risk reviews, R-multiple tracking, hedging plans, and stop-loss discipline.

RAG projects often fail because retrieval quality is weak or unmeasured. This skill guides chunking, embeddings, vector search, hybrid retrieval, reranking, and evaluation choices.