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    A role-based architecture board that interrogates, hardens, and scaffolds resolved implementation plans.

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    Example session with this skill installed

    I have a raw idea for a HIPAA-compliant patient intake system for small clinics. Start Build Mode.

    • Read your context and instructions
    • Compiled the spark

    I have initiated

    Build Mode for the HIPAA-compliant patient intake system. The current maturity stage is

    IDEA. I have performed the initial intake and identified the core system primitives: patient identity management, encrypted form submission, and clinical dashboarding.

    Build Mode: Discovery & Silence Audit

    RoleStatusDependency
    System ArchitectMENTIONEDREQUIRED_NOW
    Security ArchitectPARTIALLYREQUIRED_NOW
    Compliance / PrivacyABSENTBLOCKER
    Data ArchitectABSENTREQUIRED_NOW
    FinOpsABSENTNOT_REQUIRED

    Initial Interrogation (P0 Questions)

    1. Compliance: How will we handle Business Associate Agreements (BAAs) with third-party cloud providers?
    2. Security: Will the decryption keys for patient data reside on the client-side or in a managed HSM?
    3. Data: Does the requirement for HIPAA compliance necessitate a physical data residency within a specific region?

    Decision Log Preview

    IDDecisionStatusImpact
    DEC-001Cloud ProviderPROPOSEDHigh (Security/Compliance)
    DEC-002Encryption LayerOPENCritical (Security)

    Next steps

    1. Resolve the Compliance BLOCKER by defining the regulatory scope (e.g., HIPAA vs. HITECH).
    2. Answer the P0 Interrogation questions to move from IDEA to ARCHITECTURAL_DISCOVERY.
    3. Confirm if the clinical dashboard requires an OWNED_UI classification to activate Frontend roles.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Founders often rush from a raw idea to implementation, leaving critical architectural gaps and security risks unaddressed. Traditional AI prompting results in generic code snippets rather than a hardened, internally consistent system design.

    What it does

    • Executes a role-based interrogation using 15 specialized architectural lenses, including Security, Data, FinOps, and GTM.
    • Runs mandatory gates for claim coverage, 28-pair consistency checks, and security hardening before finalizing any design.
    • Generates a complete implementation-ready document set, including PRDs, architecture specs, security models, and phased execution plans.
    • Produces a full repository scaffold of directories and empty files to ensure structural integrity without injecting premature code.

    Why this beats prompting it yourself

    Standard prompts generate what you ask for, even if it is a bad idea. This skill actively challenges your assumptions, identifies silent omissions across 15 technical domains, and refuses to sign off on a design until it survives a simulated adversarial review.

    Use cases

    • Transforming a rough "back of the napkin" startup concept into a verified technical specification.
    • Auditing existing architecture documents to find security vulnerabilities and scaling bottlenecks.
    • Validating that a product's GTM strategy is technically supported by its backend infrastructure.
    • Standardizing repository structures for new projects to prevent architectural drift from day one.

    Known limitations

    Does not write implementation code, stubs, or boilerplate. Requires explicit founder sign-off at high-consequence decision points.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed1 month ago
    Updated9 days ago

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