PostgreSQL schemas can fail when data types, constraints, and indexes are chosen without workload context. This skill guides table design with PostgreSQL-specific rules for durable, performant, and maintainable schemas.

Market sizing is hard when sources, assumptions, and methods are scattered. This skill guides Claude, Codex, and Claude Code through defensible TAM, SAM, and SOM analysis.

LLM teams need evidence before changing prompts, models, or retrieval flows. This skill guides automated metrics, judge reviews, human labels, A/B tests, and regression checks.

Embedding choices affect retrieval quality, latency, and cost. This skill helps teams select models, chunk content, and evaluate search results for RAG systems.

Raw metrics often fail to guide stakeholder decisions. This skill turns analysis into clear narratives, visual structures, and action plans.

Unreliable tables can break analytics, reporting, and downstream products. This skill helps define Great Expectations suites, dbt tests, data contracts, and automated validation pipelines.

Trading strategy tests often overstate performance because they ignore bias, costs, and validation discipline. This skill guides Claude, Codex, and Claude Code through robust backtesting patterns.

Financial agents need reliable market, fund, bond, document, news, and macroeconomic data. This skill routes requests to Wind MCP tools and returns sourced results.

Image review tasks need clear scene descriptions, object lists, and extracted text. This skill shows how to call the verging.ai GPT-4o Vision API with image URLs or file uploads.

Large JSON payloads waste tokens and hide important facts. This skill converts JSON or jsonb exports into compact summaries for Claude, Codex, and Claude Code.

Browser apps need a clear CloudBase relational database setup path. This skill shows the shared web SDK client and Supabase-style query flow.

CloudBase MySQL operations need clear tool choice and safety checks. This skill guides agents through MCP-based provisioning, querying, schema changes, and permission reviews.

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.

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.