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    Software Architect Skill

    1

    Get a practical software architecture plan with technical choices, risks, and implementation phases.

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    Software Architect Skill

    Software Architect Skill

    Example session with this skill installed

    Give me a brief architecture plan for an internal inventory app used by five staff. We use Django and PostgreSQL, need stock history, and have no external integrations.

    • Read your context and instructions
    • Compiled the software architect

    Recommended a single Django application with PostgreSQL. Hosting, availability targets, and staff permissions still need confirmation.

    Architecture Brief

    Known scope: Five staff, inventory tracking, stock history, Django, PostgreSQL, no external integrations.

    AreaProposed design
    BoundaryStaff browser → Django → private PostgreSQL database
    ComponentsDjango modules for accounts, inventory, and stock history; database owns persistent records
    DataItem and StockMovement records; each movement stores item, quantity change, actor, and time
    InterfaceServer-rendered pages and authenticated form endpoints; no separate public API initially
    Stock updatesValidate input, lock the item row, update balance, and record movement in one transaction
    Failure pathRoll back failed updates; show an error without recording a partial change
    SecurityHTTPS, Django authentication, role checks, CSRF protection, and restricted database credentials
    OperationsError logs, health checks, scheduled backups, and restore testing

    Trade-off: One application keeps deployment simple but shares a failure boundary. Scale only when measurements justify it.

    Main risk: Duplicate submissions can alter stock twice. Use a unique operation ID to reject repeats.

    Next steps

    • Confirm edit permissions, negative-stock rules, hosting, and recovery needs.
    • Build accounts and inventory, then transactional stock history.
    • Review authorization, concurrent edits, duplicate submissions, and backup restoration before release.

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

    About this skill

    Unclear technical decisions can leave a software project expensive to build and hard to maintain. Get a practical architecture plan that connects your requirements to components, data, infrastructure, and implementation phases.

    What it does

    • Defines system boundaries: Clarifies what your software handles and where it depends on other systems.
    • Plans components and data: Explains responsibilities, storage, APIs, and how information moves through the system.
    • Compares technical choices: Recommends an architecture and explains alternatives, costs, and trade-offs.
    • Reviews operational risks: Covers security, failure handling, scaling, backups, and recovery.
    • Maps implementation phases: Turns the design into deliverables with clear dependencies.

    How it works

    1. Share your product requirements, existing systems, and technical constraints.
    2. Include preferred technologies, team limits, and performance targets if known.
    3. Receive an architecture proposal with recommendations, risks, and open questions.
    4. Use the roadmap and review checklist to guide implementation discussions.

    Works with

    Product briefs, technical requirements, existing architecture descriptions, API requirements, database needs, and cloud or deployment constraints. Recommendations can account for your preferred technologies.

    Why use this skill

    Give developers a shared plan before they start building. Make cost, complexity, and maintenance trade-offs visible before committing to major technology choices.

    Use cases

    • Plan the architecture for a new software product.
    • Review an existing system before expanding it.
    • Compare architecture options under budget or team constraints.
    • Organize a migration into practical phases.

    Known limitations

    Produces architecture guidance, not a deployed system. Missing requirements remain open questions, and production readiness or regulatory compliance requires supporting evidence.

    Provides architecture guidance, not implementation or deployment. Missing requirements need clarification; production readiness and compliance cannot be established without evidence.

    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

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    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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    What's inside

    Frequently Asked Questions

    This skill provides a comprehensive architecture document covering component responsibilities, data flow, infrastructure recommendations, risk assessments, and a phased implementation roadmap. It delivers strategic guidance rather than raw source code or a deployed environment.

    Yes, you can provide specific technical constraints, such as a preference for AWS, a specific programming language, or budget limits. The skill will evaluate those preferences against your requirements to ensure the resulting plan is practical for your team.

    This skill is designed to work with most major LLMs and AI agent platforms that support text-based reasoning and long-form document generation. It integrates easily into your existing workflow by processing your product briefs and technical requirements.

    Absolutely. By providing your current system's architecture and your goals for expansion, the skill can identify bottlenecks and outline a phased migration or upgrade path that minimizes technical debt.

    Architecture plans are generated based on the specific requirements and constraints you provide at the time of use. While the skill logic is periodically updated to reflect modern best practices, each architectural output is a point-in-time recommendation for your project.

    New in APIs & Backend