Expert in end-to-end AI-assisted software delivery, from design engineering and design systems to shipping: design engineering, design system automation, technical documentation, spec-driven planning, polyglot code quality, systematic QA, release auditing, LLM context engineering, and Astro frontend optimization. Built for agent-agnostic workflows across the full 9-skill delivery lifecycle.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
This is a tool that automatically generates AI video prompts based on input criteria: Left Control Panel: Theme/Scene (free input) Video Style, Camera Movement (multiple selections possible) Shot Size, Lighting, Tone, Rhythm, Aspect Ratio (single selection) Right Output: "Basic Version": Instantly generates structured prompts by entering the criteria. "AI Optimized Version": Pressing this button will call Claude to write all the criteria into a complete prompt for use.
Turn your AI pilot data into a traceable decision pack with TCO, ROI, NPV, payback, sensitivity analysis, evidence gaps, risks, and clear next steps.
Turn prompts or workflows into testable, launch-ready AI Skill products.
Turn recurring social, banner, and ad requests into a repeatable marketing asset production system. This download skill builds a brief intake gate, template decision, content-variable batch plan, brand QA checklist, handoff/version-control rules, and a performance feedback loop, then writes a campaign production package to journal/marketing-assets/. Built for teams whose designer is the bottleneck and whose assets drift across channels.
Audit and manage local AI Skills across Codex, Claude Code, and project workspaces. See what is actually active, detect duplicates and variants, compare changes over time, and generate an offline interactive management map. Read-only by default; every real change requires your approval.
Michelin-kitchen audit for your AI coding agent setup: finds where you are still the bottleneck, places you on the trust ladder, and hands you the one upgrade that lets you run more agents with less supervision.