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    Legacy Code Modernization Skill

    1

    Audit legacy codebases and generate staged, risk-aware modernization roadmaps that preserve system behavior.

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    Legacy Code Modernization Skill

    Legacy Code Modernization Skill

    Example session with this skill installed

    Analyze this Node.js v10 express app using callbacks and an old version of Request. We need to move to Node 20, use Promises/Async-Await, and replace Request with Axios.

    • Read your context and instructions
    • Compiled the legacy code modernization

    I have analyzed the Node.js v10 Express application. The primary risks involve the transition from callback-based error handling to async/await and the replacement of the deprecated Request library with Axios, which handles streams and errors differently.

    Legacy Modernization Plan

    Legacy Inventory

    ComponentCurrent PatternProblemRiskModern TargetStrategy
    API LayerExpress CallbacksPyramid of doom; poor error handlingMediumAsync/AwaitRefactor in place
    HTTP ClientRequest v2.88.2Deprecated; no Promise supportHighAxios v1.6.0Replace component
    RuntimeNode.js v10.xEOL; security vulnerabilitiesCriticalNode.js v20.x (LTS)Runtime upgrade

    Modernization Roadmap

    Phase 1 — Characterization & Tooling

    • Scope: Establish baseline behavior for all Request-based service calls.
    • Tasks: Implement nock for HTTP mocking and add Jest snapshot tests for current API responses.
    • Exit Criteria: 80% coverage of core business logic paths.

    Phase 2 — Runtime & Dependency Preparation

    • Scope: Update package.json and engine requirements.
    • Tasks: Upgrade Node in CI; install Axios; keep Request as a peer dependency during transition.
    • Exit Criteria: Build passes on Node 20 with existing callback code.

    Phase 3 — Incremental Refactor
    *

    Scope: Convert middleware and routes to async functions; wrap Request calls in a Promise wrapper before full Axios replacement.

    • Tasks: Replace (err, res) => ... with try/catch blocks. Implement Axios adapter.
    • Verification: Run snapshot tests after every 5 converted routes.

    Risk Register

    RiskImpactLikelihoodEvidenceMitigation
    Unhandled ExceptionsHighMediumCallbacks often swallow errorsUse a global async error handler middleware
    Axios Stream HandlingMediumLowRequest handles streams differentlyUse responseType: 'stream' in Axios

    Next steps

    1. Run npm list and share the full output to identify transitive dependency conflicts.
    2. Provide the main app.js or entry point to define the Global Error Handler strategy.
    3. Identify the most critical API endpoint to serve as the Pilot migration.

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    About this skill

    The problem

    Legacy codebases often become black boxes that developers are afraid to touch. Fear of breaking undocumented behavior leads to stagnation, mounting technical debt, and dependency rot.

    What it does

    • Analyzes source code, manifests, and architecture to identify high-risk technical debt.
    • Detects deprecated APIs, obsolete framework patterns, and runtime compatibility issues.
    • Maps complex dependency chains to plan staged, non-breaking upgrades.
    • Generates incremental migration roadmaps including characterization tests and rollback strategies.
    • Evaluates architectural coupling to define clean boundaries and modern service patterns.

    Why this beats prompting it yourself

    Generic prompts often suggest risky "big bang" rewrites or hallucinate package versions. This skill enforces a discovery-first workflow that prioritizes behavior preservation and incremental validation, ensuring modernization is evidence-based rather than speculative.

    Use cases

    • Migrating monolithic applications to modular or service-oriented architectures.
    • Upgrading critical dependencies and runtimes while managing breaking changes.
    • Establishing test safety nets for business-critical code lacking documentation.
    • De-risking technical debt reduction in high-traffic production environments.

    Does not perform automated code execution or live refactoring. Success depends on the quality of provided source code and dependency manifests.

    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 performs a multi-layered audit of your source code and architecture to identify technical debt, then generates a phased roadmap that prioritizes incremental changes over risky 'big bang' rewrites.

    The skill is compatible with any major AI agent capable of file-system access or multi-file context analysis, and it supports most modern programming languages including Java, Python, C#, and JavaScript.

    Upon purchase, you receive the full skill configuration, specialized workflow parameters for discovery-first auditing, and a set of templates for generating migration roadmaps and characterization tests.

    Setup is straightforward: import the skill into your preferred AI agent environment and grant it read access to the relevant code repositories or architecture documentation.

    Yes, purchasers receive lifetime access to all future updates, including new templates for emerging framework versions and refined logic for detecting modern security vulnerabilities in legacy code.

    Unlike general prompting, this skill follows a structured discovery workflow that enforces the creation of characterization tests and dependency mapping before suggesting any code changes.

    New in Code Quality & Review