Un cycle Brainstorm → Spec validée → Plan à cases à cocher → TDD strict → Review de conformité, conçu pour les devs qui construisent des SaaS pilotés par IA (générateurs, agents, outils no-code) en HTML/CSS/JS vanilla ou Node/Express, avec intégrations multi-fournisseurs (Anthropic, OpenAI, Gemini, Mistral). Exemples d'usage : "ajoute une fonctionnalité X à mon générateur", "intègre un nouveau fournisseur IA", "refonds ce module"
Backend integration engineering: typed clients with the production resilience layer—retry/backoff, idempotency, rate-limiting, webhook signature verification, mock server and offline tests—that SDK generators skip.
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
Grill Me interviews you like a senior architect would before you build grounded in 18 curated architecture references, then writes your planning docs for you. 1. README — project overview 2. PRD — product requirements doc 3. Architecture doc — tech stack, service topology, integration patterns, security posture 4. Phase plan — locked decisions, delivery methodology, risk register, KPI summary 5. Use-cases — Mermaid sequence diagrams 6. Deliverables guide — phase-by-phase deliverables
Senior level payment integration guidance and code review across Stripe, Adyen, Braintree and PayPal; catches double charges, unverified webhooks, idempotency gaps and client supplied amounts before they cost you money, and guides provider selection, SCA/3DS, subscriptions, disputes, PCI scope and go live.
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.
Created from 10+ years of manufacturing and industrial automation experience across food packaging, planter-part manufacturing, and Tier 1 automotive environments, with Ignition used in production-facing work over that span. The skill packages practical SCADA judgment around maintainable expressions, operator-safe behavior, troubleshooting habits, and realistic Designer/Gateway validation workflows.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.
Turns vague software ideas into clear, implementation-ready specifications for AI coding agents, asking only the questions that matter and clearly separating your requirements from AI assumptions and engineering recommendations.