sql-optimizer

Grills the user about a planned feature or code change before any code is written. It reads the relevant code and docs first so every question is specific to the repo, asks one decision at a time with a recommended answer, works through scope, behaviour, edge cases, data, failure modes and rollout, then writes a SPEC.md with numbered requirements, Given/When/Then acceptance criteria tied to them and a test plan, checked by a linter that flags vague words and untraced requirements. Use when the user asks to grill or interview them about a feature, pressure-test an implementation plan, write a spec or PRD for a change, or turn a rough feature request into testable requirements before coding.

Researches and writes SEO-optimized, genuinely helpful blog articles, covering keyword and search-intent analysis, competitor outline gaps, title and meta description, headings, FAQ, internal links, and schema, in the brand's voice and following Google's helpful-content and E-E-A-T principles. Use when the user asks to write a blog post or article, do SEO content, or rank for a keyword.

Converts a screenshot, mockup, or Figma export into a production-ready UI component that reuses the project's existing design system (React/Next, Vue, Svelte, React Native, Flutter, or SwiftUI with Tailwind, CSS modules, or a component library), so the result is responsive and accessible. Use when the user shares an image of a UI and asks to build, implement, or recreate it in code.

Roasts a GitHub profile with humor, then gives genuinely useful advice. It analyzes public repos, stars, languages, missing descriptions and licenses, abandoned projects, lazy commit messages, and activity with a data script, and produces a shareable scorecard and a glow-up plan. Use when the user asks to roast, rate, review, or improve a GitHub profile, or asks "what does my GitHub say about me".

Rewrites a repository's README into a polished, star-worthy page with badges, a hero tagline, demo section, quickstart, features, usage, and contributing info. Use when the user asks to improve, rewrite, polish, or "glow up" a README, or when a repo has a missing or weak README.

Scans an AI agent's instruction and tool-config files (CLAUDE.md, AGENTS.md, skills, slash commands, subagents, Cursor and Cline rules, hooks, MCP server configs) for prompt injection, hidden Unicode or HTML-comment instructions, exfiltration commands, and risky permissions or unpinned MCP packages, then recommends what to remove or quarantine. Use when the user installs third-party skills or plugins, clones an unfamiliar repo, adds an MCP server, or asks whether their agent setup is safe to trust.

Reviews a pull request or local branch diff like a senior engineer, covering correctness, security, performance, naming, and missing tests, and produces prioritized, actionable comments (optionally posted to GitHub). Use when the user asks to review a PR, a diff, a branch, or "check my changes before I push".

Brutally honest but constructive critique of a landing page's copy, UX, design, and conversion. Gives a scored roast plus a prioritized fix list and rewritten headline and CTA options, working from a URL, screenshot, or the page's source code. Use when the user asks to roast, review, critique, or improve the conversion of a landing page, homepage, or pricing page.

About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.

Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.

Obtain or reuse a Prisma Postgres database and connect an application. Use when the user needs a database and has none configured ("I need a database", "add a Postgres database", "set up a database for this app"), runs or mentions `create-db` or `npx create-db`, or asks to set up or connect Prisma Postgres, including in v0 and the Vercel Marketplace. Hands Prisma ORM configuration to prisma-orm-setup; reuses an existing connection first and honors an explicit provider, driver, alternative ORM, or database-only choice.

Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.

Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching (including schema-only, reset-from-parent, and branch-per-PR workflows), autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, egress optimization, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL, schema, inspect, or search. New backends, Auth, files, Functions, and LLM calls go to the parent `neon` skill. Live queries, reactive UIs, and realtime data go to `neon-realtime`. Also use for "@neondatabase/serverless", "@neon/neon-js", "neon inspect db", "neon postgres computes", "Neon branch", "schema-only branch", "reset branch", "branch per PR", high database bills, network transfer or egress, SELECT * optimization, query overfetching, "semantic search", "vector search", "full-text search", "BM25", or "hybrid search".