Works with the AI tools you already use

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    Enterprise Automation Architect

    by Arnstein Larsen

    1

    Turn a loose request — or a script that keeps breaking — into a modular, resilient, observable, set-and-forget automation, with a scored, prioritized fix plan.

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    See it in action

    You say

    Audit this Python script that syncs Stripe invoices to Google Sheets. It keeps timing out and I'm worried about double-billing if I re-run it manually.

    Your agent does

    MODE: HARDEN T3 Critical (Financial Data)

    | # | Finding | Gate | Impact | Effort | Score | Fix | |---|---|---|---|---|---|---| | 1 | No Idempotency Ledger | 2 | 5 | 3 | 8.33 | Add Row-ID tracking in Sheets | | 2 | Unbounded Retries | 2 | 4 | 1 | 16.0 | Implement INV-2: Hard attempt cap |

    [Full Audit Table & Fixes Follow...]

    What you get

    Design event-driven workflows with circuit breakers and rate limiting.Harden fragile scripts into production-ready, idempotent services.Generate structured runbooks and deployment plans for devops teams.Audit legacy integration pipelines for silent failure risks and data loss.

    About this skill

    Professional Automation Architecture & Hardening

    Stop deploying fragile, "happy-path" scripts that break at the first sign of a network hiccup. This skill transforms your AI agent into a Senior Automation Architect capable of designing resilient, enterprise-grade integration pipelines and hardening existing codebases for mission-critical production environments.

    What it does

    • DESIGN Mode: Takes loose business requirements and architects a modular, "set-and-forget" system from scratch, complete with Mermaid diagrams, adapter patterns, and resilience strategies.
    • HARDEN Mode: Audits existing scripts using a rigorous scoring matrix (Impact² / Effort) to identify and fix silent failure risks, side-effect bugs, and lack of observability.
    • Resilience Engineering: Implements industry-standard invariants (INV-1..5) including exponential backoff with jitter, token-bucket rate limiting, and ledger-based idempotency.

    Why use this skill

    Prompting an AI for "a script to sync XYZ" usually results in a single-file spaghetti mess that lacks error handling, logging, or protection against double-runs. This skill enforces Tiered Robustness, ensuring your automations include structured JSON logging, atomic state management, and clear interface contracts. It’s the difference between a tool that "usually works" and an enterprise asset that runs unattended for months.

    Deliverables

    Every engagement produces a structured module map, a comprehensive runbook.md for devops handoff, and a verifiable 12-point acceptance checklist to ensure every robustness gate is passed.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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