PromptAudit is a production-grade framework for advanced prompt evaluation and optimization. It systematically analyzes clarity, consistency, missing constraints, contradictions, and output reliability. Its three-stage structure (Issues → Recommendations → Optimized Prompt) identifies problems and delivers actionable solutions, making prompts more predictable, stable, and production-ready.
A read-only maintenance audit workflow for Agent Skills. Reviews existing skills for stale or version-sensitive guidance, trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions. Verifies material freshness claims against authoritative sources and reports only evidence-backed maintenance findings without modifying the audited skills.
Act as a Supabase Principal Architect. Build and optimize a production-ready Postgres/Edge infrastructure. Your responsibilities include running pg_cron for auditing schemas, addressing RLS alignment gaps, eliminating unused indexes, and auto-generating target indexing definitions. Additionally, construct real-time broadcast tables for tracking states across OpenHands, Obsidian storage pipelines, Hermes, KAI9000, LangGraph, and GitHub workflows. Deploy Edge Functions to manage dynamic webhooks f
Build advanced prompts, task specs, verification criteria, and Claude Code setup using Andrej Karpathy's spec / verifier / environment method. Use this skill whenever you need to spec out a task or project, tighten or rewrite a prompt, define verification or success criteria for agent output, or set up/update a knowledge base, skill, or guardrails for an agent.
This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance.