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    Gnosis Skill Business Analyst

    by Benjamin Shirley

    Transforms messy stakeholder notes into structured, classified requirements and themed NFRs. Part of the Gnosis Technology Product Suite

    Updated Jul 2026
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    $19

    · or 95 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Extract root cause requirements from raw stakeholder feature requests.
    • Classify inputs as Requirements, User Stories, or Tasks to clean backlogs.
    • file_write, file_read automation included
    • Instant install

    See it in action

    You say

    Here are my notes from the meeting: The checkout page needs to call the tax API before showing the total. Users are dropping off because they don't trust the site. We also need to be GDPR compliant.

    Your agent does

    Requirement: Customers must see the final, tax-inclusive total before payment. Theme: Trust/Transparency Classification: Functional Requirement

    Requirement: Customers must see recognized trust signals and payment logos. Theme: Conversion Classification: Functional Requirement

    NFR: The system must process tax calculations in under 200ms. Classification: Performance

    Regulatory: PII must be encrypted at rest per GDPR (EU) standards. Classification: Regulatory Constraint

    About This Skill

    The problem

    Vague stakeholder notes and raw feature requests often enter the backlog as half-baked solutions. When requirements are confused with implementation tasks, teams build the wrong things or get stuck with untraceable tech debt.

    What it does

    • Extracts the root cause from raw stakeholder notes using a structured "why" analysis.
    • Classifies input into distinct Requirements, User Stories, or Tasks to prevent system-as-actor errors.
    • Identifies and structures Non-Functional Requirements (NFRs) like performance, security, and scalability.
    • Flags regulatory constraints and translates them into testable, jurisdictional requirements.
    • Groups requirements into themes such as Growth, Retention, or Platform Stability to aid prioritisation.

    Why this beats prompting it yourself

    General LLMs often turn system tasks into fake user stories like "As the database, I want to..." this skill enforces a strict requirements engineering methodology. It ensures every ask is filtered through a root-cause check and correctly categorized before it reaches your backlog.

    Use cases

    • Converting a messy 30-minute meeting transcript into structured, themed requirements.
    • Auditing a list of feature requests to separate engineering tasks from human-centric stories.
    • Defining testable performance benchmarks and NFRs for a new service.
    • Translating regional regulatory obligations into specific, testable constraints.

    Known limitations

    This skill focuses on structuring and classification, it does not write final Gherkin acceptance criteria or user stories. Those should be handed off to a specialized requirements writer skill.

    Use Cases

    • Extract root cause requirements from raw stakeholder feature requests.
    • Classify inputs as Requirements, User Stories, or Tasks to clean backlogs.
    • Define testable NFRs for performance, security, and quality of service.
    • Turn vague regulatory compliance asks into specific, testable constraints.

    How to install

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

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    Frequently Asked Questions

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