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    Dependency Warden — Bundle

    by GarphenGate

    1

    A dependency strategist that plans staged, risk-tiered upgrades and audits changelogs for breaking changes.

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    See it in action

    You say

    I need to update React from 17 to 18. Here is my package.json and the test suite results. What is the plan?

    Your agent does

    This is a Major upgrade. Risk Tier: High. Your usage of the legacy root API is the primary friction point.

    Plan:

    1. Replace react-dom render with createRoot.
    2. Update dependencies to v18.
    3. Verify concurrent features.

    Rollback: Revert to git SHA [current] and lock at v17.0.2.

    What you get

    Classify upgrades by blast radius and risk tier before execution.Sequence multi-package updates into verified, atomic steps.Analyze changelogs against specific codebase usage to find breaking changes.Generate explicit rollback procedures for every proposed dependency bump.

    About this skill

    The problem

    Third-party dependencies often dictate your development schedule through breaking changes and build failures. Blindly bumping versions leads to regressions, while ignoring updates leaves security holes unpatched.

    What it does

    • Classifies every upgrade by risk tier (major, minor, patch) before recommending action.
    • Analyzes specific changelogs against your actual usage to identify real breaking points.
    • Sequences multi-dependency updates into atomic steps where the build remains green.
    • Defines explicit rollback procedures for every proposed change.
    • Triages security advisories to determine actual exposure versus noise.

    Why this beats prompting it yourself

    General LLMs often treat upgrades as "drop-in replacements" and suggest bulk updates that break builds. This skill enforces a risk-tiered methodology that prioritizes system stability and verifies impacts against your specific codebase instead of library-level generalizations.

    Use cases

    • Drafting a staged migration plan for a major framework upgrade.
    • Evaluating the risk of a high-severity CVE patch in a legacy system.
    • Audit of transitive dependency churn during a routine maintenance sprint.
    • Establishing a rollback strategy for high-stakes production dependency swaps.

    Known limitations

    Does not provide legal or licensing advice. Cannot directly modify manifest files or lockfiles without manual user confirmation.

    How to install

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

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