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    AI Automation QA & UAT Pack

    Specialized QA and UAT framework for AI automations, ageA QA lead for AI automations and agent systems — turns a delivery into acceptance criteria, UAT scripts, a non-determinism test plan, a failure-mode matrix, and a client-ready sign-off pack, or audits an existing automation for the gaps that cause silent production failures.ntic workflows, and non-deterministic pipelines.

    Updated Jun 2026
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    $5

    · or 25 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Generate client-ready UAT scripts for n8n/Make/Zapier automations
    • Identify silent failure points in complex LLM-powered agent pipelines
    • browser automation included
    • Instant install

    Sample input

    I've built an n8n workflow that pulls new leads from a Google Sheet, summarizes their LinkedIn profiles using OpenAI, and pokes them in Slack. It needs a full QA and UAT pack before handoff.

    Sample output

    **MODE: BUILD** **Gate 1: Acceptance Criteria** AC-01: Given 1 new row in Sheet, When workflow triggers, Then 1 Slack message is sent and row marked 'PROCESSED'. AC-02: Given a duplicate UUID, When re-run, Then no duplicate Slack message is sent (Idempotency). **Gate 3: Non-Determinism Plan** - Golden set: 10 diverse profiles. - Rubric: Summary must include 'Current Role' and 'Recent Projects'. Must NOT hallucinate non-existent degrees. - Stability: Run 5x; summaries must maintain 90% semantic similarity.

    About This Skill

    What it does

    This skill transforms your AI agent into a Senior QA Lead specializing in AI automations and agentic workflows. It bridges the gap between traditional software testing and the non-deterministic reality of LLMs. Whether you are building a complex n8n/Make workflow or a custom agentic pipeline, this skill generates the rigorous testing frameworks required to move from 'it works on my machine' to production-ready reliability.

    Why use this skill

    Generic AI prompts often miss the subtle failure modes of automation, such as silent API drops, prompt drift, or idempotency breaks during retries. This skill is better than manual prompting because it follows a structured 'Gate' methodology—covering everything from Given/When/Then acceptance criteria to adversarial non-determinism test plans that verify LLM stability. It ensures you never ship a workflow that could cause 'silent' business damage.

    Key Deliverables

    • Acceptance Criteria: Testable Given/When/Then statements with observable pass conditions.
    • UAT Scripts: Step-by-step human-readable instructions for client sign-off.
    • Non-Determinism Plan: Specialized rubrics for evaluating flaky LLM outputs and prompt injections.
    • Failure-Mode Matrix: A comprehensive map of how the system handles rate limits, timeouts, and partial runs.
    • Audit Reports: Scored findings for existing workflows to identify high-risk gaps before they fail in the wild.

    Use Cases

    • Generate client-ready UAT scripts for n8n/Make/Zapier automations
    • Identify silent failure points in complex LLM-powered agent pipelines
    • Create non-determinism test plans to catch prompt drift and hallucinations
    • Audit existing automation test coverage and provide a risk-scored fix list
    • Establish idempotent 'Given/When/Then' acceptance criteria for external API writes

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    ai-automation-qa-uat-pack/**

    Frequently Asked Questions