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    Dependency Upgrade & Compatibility Readiness Review

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    Dependency Upgrade & Compatibility Readiness Review is a bounded ToolForge Labs workflow.

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    Dependency Upgrade & Compatibility Readiness Review

    Dependency Upgrade & Compatibility Readiness Review

    Example session with this skill installed

    Review a planned major framework and dependency upgrade. I have release notes, package files, lockfile diffs, plugin versions, CI failures, generated client changes, and rollout notes. Identify compatibility blockers and evidence still needed before approval.

    • Read your context and instructions
    • Compiled the dependency upgrade

    The likely issue is a contract mismatch around dependency and framework upgrades, transitive packages, breaking changes, peer constraints, generated artifacts, runtime requirements, security fixes, deprecations, tests, rollout, rollback, and ownership evidence. I would first define the invariant: An upgrade is ready only when affected contracts, runtime constraints, generated artifacts, tests, rollout, rollback, and ownership evidence are explicit enough to distinguish verified compatibility from assumptions. Then I would trace the smallest owning boundary, apply or propose a bounded repair/review step, and add deterministic normal, boundary, failure and replay tests. The workflow preserves existing authorization, privacy, security policy, public interfaces, user-visible behavior, and documented operational ownership. If repository/workspace files are available, findings can be mapped to exact paths and focused local validation; with partial evidence, the result stays an explicit diagnosis/evidence map with assumptions and no invented execution claims.

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

    About this skill

    Dependency Upgrade & Compatibility Readiness Review is a bounded ToolForge Labs workflow. Diagnose, review, and repair dependency and framework upgrades, transitive packages, breaking changes, peer constraints, generated artifacts, runtime requirements, security fixes, deprecations, tests, rollout, rollback, and ownership evidence. Works from repositories/workspaces or partial evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving product/security policy and avoiding invented execution claims. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for APIs & Backend.

    Cannot verify production-only environment variables or secrets. Requires access to lockfiles or package manifests for full transitive analysis.

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Use a clean branch or controlled review workspace. Supply repository/workspace files, logs, traces, configuration, documents, or evidence needed for the task. Review patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed1 month ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    The skill maps your entire dependency tree to identify breaking changes, peer constraint conflicts, and silent deprecations that standard package managers often miss. It provides a deterministic validation plan to ensure upgrades don't cause runtime failures or build crashes.

    This skill is designed to work with any AI agent that has access to your project's file system, such as GitHub Copilot Extensions, Cursor, or custom IDE agents. It requires read access to your package manifests and lockfiles to perform its analysis.

    While it is highly effective for JavaScript/TypeScript (NPM/Yarn/PNPM), the skill's logic for analyzing transitive dependencies and peer conflicts also supports major ecosystems like Java (Maven/Gradle) and Python (Pip/Poetry).

    You will receive the core logic for the compatibility review agent, including the 'canonical invariant' rule set for strict evidence-based auditing and templates for generating deterministic rollout and rollback plans.

    No, the skill operates strictly on the codebase and configuration files provided in your workspace. It prioritizes safety by flagging missing evidence rather than guessing how a package might behave in a live environment it cannot see.

    New in APIs & Backend