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    AI App Development Engineer

    1

    Get app plans, implementation code, tests, and launch reviews for new or existing applications.

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    AI App Development Engineer

    AI App Development Engineer

    Example session with this skill installed

    Write a Python helper that paginates a list using 1-based page numbers. Reject invalid page or size values and include unit tests.

    • Read your context and instructions
    • Compiled the ai app development

    Created a list pagination helper and unit tests. Pages beyond the available items return an empty list; tests have not been run here.

    Implementation and tests

    Save as test_pagination.py.

    import unittest
    
    def paginate(items: list, page: int, size: int) -> list:
        """Return one page without modifying the input list."""
        for name, value in (("page", page), ("size", size)):
            if type(value) is not int or value < 1:
                raise ValueError(f"{name} must be a positive integer")
        start = (page - 1) * size
        return items[start:start + size]
    
    class PaginationTests(unittest.TestCase):
        def test_pages(self):
            items = [10, 20, 30, 40, 50]
            self.assertEqual(paginate(items, 1, 2), [10, 20])
            self.assertEqual(paginate(items, 2, 2), [30, 40])
            self.assertEqual(paginate(items, 3, 2), [50])
            self.assertEqual(paginate(items, 4, 2), [])
            self.assertEqual(paginate([], 1, 2), [])
            self.assertEqual(items, [10, 20, 30, 40, 50])
    
        def test_invalid_arguments(self):
            for value in (0, -1, 1.5, "2", True, None):
                for page, size in ((value, 2), (1, value)):
                    with self.subTest(page=page, size=size):
                        with self.assertRaises(ValueError):
                            paginate([10], page, size)
    

    Next steps

    • Run python -m unittest test_pagination.py.
    • Catch ValueError where page settings enter your application.

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

    About this skill

    An app idea can stall when requirements, code, and launch decisions do not line up. Get application plans, working code drafts, tests, and deployment guidance, or help fixing an existing project.

    What it does

    • Plan the build: Turn product requirements into a first-release scope, system design, and implementation roadmap.
    • Develop features: Generate or modify application code, database structures, APIs, and user interfaces.
    • Fix and improve: Investigate supplied errors, refactor code, and review architecture without unnecessary rewrites.
    • Check launch risks: Review testing, security, performance, data integrity, and recovery needs.

    How it works

    1. Share your app requirements, existing code, or failure details, along with relevant constraints.
    2. Ask to build, extend, debug, refactor, or review the application.
    3. Review the proposed scope and unresolved questions before expanding the work.
    4. Receive the requested implementation or review, with relevant tests and verification steps.

    Works with

    Your supplied programming languages, frameworks, databases, API documentation, and deployment environment. Technology recommendations can account for your existing stack, maintenance needs, and costs.

    Why use this skill

    Keep feature decisions connected to data, permissions, tests, and deployment needs. A phased roadmap helps you see dependencies before starting work. Reviews identify launch conditions and gaps rather than treating generated code as verified software.

    Use cases

    • Plan a first release for a customer portal.
    • Add a feature to an existing application.
    • Diagnose a failing API request.
    • Review an app before deployment.

    Known limitations

    Testing and deployment verification depend on available tools, access, and evidence. External integrations need supplied documentation or verified contracts.

    Test execution and deployment verification depend on available tools and access. External integrations require supplied documentation or verified API contracts.

    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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    Security scan

    Security scan passed 1 month ago

    Permissions

    No special permissions declared or detected

    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill acts as an end-to-end technical lead that handles everything from initial system design and database architecture to writing implementation code and creating deployment checklists.

    The skill is language-agnostic and works with any stack you provide, including modern frameworks, REST/GraphQL APIs, and both SQL and NoSQL databases.

    Yes, you can provide existing code snippets or repository structures for the skill to analyze, refactor, or debug without needing to start your project from scratch.

    You receive a comprehensive package including technical roadmaps, functional code drafts, automated test cases, and a pre-launch security and performance review.

    Simply provide your app requirements or error logs to your AI agent; no complex installation is required as the skill integrates directly with your agent's workspace.

    The skill is designed to flag potential security vulnerabilities, data integrity risks, and performance bottlenecks before you go live, ensuring your launch is stable and secure.

    New in APIs & Backend