
Generates production-ready PostgreSQL schemas, RLS security policies, and Supabase TypeScript definitions from plain text requirements.

Audits soccer analysis before conclusions are trusted: source tiers, dates and seasons, competition splits, 450-minute sample checks, availability flags, and uncertainty labels.

Audit a machine learning platform against 62 production checks, or generate a verified AWS MLOps repository.

Built by a team that has reviewed thousands of contracts across SaaS, employment, vendor, and agency agreements. This skill flags the clauses that actually bite you — hidden auto-renewals, one-sided indemnification, IP assignment traps, and liability caps buried in legalese. Think of it as a trained legal eye that never misses the fine print.

Over 5,000 ADA accessibility lawsuits were filed in the US last year. 64% targeted businesses under $25M revenue. Most started with an automated scan — the same kind this agent runs on your site. Enter a URL. Get a risk report: which WCAG 2.2 AA failures a plaintiff's scanner would flag, ranked by lawsuit likelihood, with the exact fix for each. Covers contrast, alt text, labels, ARIA, focus order, and touch targets. Not a compliance certificate. A radar for what's coming.

Audit Excel workbooks before you trust, send, or deliver them. Detect formula, structure, data-quality, hidden-content, dependency, validation, and consistency risks with traceable evidence — without modifying the original file.

DBA-grade migration safety: expand-contract plans, lock-behavior analysis, batched backfills, forward+rollback and integrity checks (Postgres/MySQL · Prisma/Rails/Django)

Catch dangerous Postgres DDL before merge. Paste SQL or ORM migration files and get a GREEN/AMBER/RED verdict, 0-100 score, exact findings, and a merge-gate checklist. Free local Download; no API key or database connection.

marketingskills/skills/ab-testing. Corey Haines`s expert-level skill. It checks detectable lift, traffic limits, safe metrics, QA risk, and locked decision rules before launch. When you provide baseline rate, MDE, power, and traffic, it runs Python sample-size math to estimate required sample size and test duration, so you avoid wasted traffic, broken tracking, peeking, and fake wins. Support Corey Haines on https://buymeacoffee.com/coreyhaines