2

    Perf Hotspot Detector with Grok

    by Markus Isaksson

    Identify and prioritize hidden performance bottlenecks like N+1 queries and blocking I/O via intelligent static analysis.

    Updated May 2026
    Security scanned
    One-time purchase
    TUI**.

    $5

    One-time purchase

    Included in download

    • Identify N+1 query patterns in ORM-heavy backend services
    • Detect expensive re-renders and large imports in frontend applications
    • terminal, file_read, file_write automation included
    • Ready for TUI**.
    • Instant install

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    About This Skill

    What it does

    The Perf Hotspot Detector is a high-performance static analysis skill designed to uncover invisible performance bottlenecks before they hit production. It systematically scans codebases for anti-patterns such as N+1 queries, blocking I/O on the main thread, unbounded allocations, and expensive frontend re-renders.

    Why use this skill

    Unlike standard linters, this skill uses a structured five-phase framework to categorize findings by severity and "hot path" frequency. It doesn't just point out problems; it provides a prioritized roadmap for optimization. It's built for developers who need to audit legacy code, prepare for high-traffic events, or conduct deep-dive performance reviews without the overhead of immediate runtime profiling.

    Supported tools

    This skill is framework-agnostic and works across modern stacks including:

    • Languages: TypeScript, JavaScript, Python, Go, Java
    • Backend: Node.js (Express/Fastify), Django, FastAPI, Spring Boot
    • Frontend: React, Vue, Next.js
    • ORM/DB: Prisma, TypeORM, SQLAlchemy, Mongoose

    What the output looks like

    You receive a structured Markdown report featuring a severity summary table, precise file/line locations for hotspots, impact assessments (e.g., "O(n²) scaling risk"), and concrete before/after code examples for remediation.

    Use Cases

    • Identify N+1 query patterns in ORM-heavy backend services
    • Detect expensive re-renders and large imports in frontend applications
    • Assign severity ratings to bottlenecks based on execution frequency
    • Generate before/after code examples for performance remediation
    • Audit pull requests for scaling risks and O(n²) algorithmic complexity

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files
    Write Files
    Browser

    File Scopes

    src/**
    app/**
    components/**
    **/*.ts
    **/*.js
    **/*.py
    **/*.go
    **/*.java
    package.json

    This skill performs static analysis only. It identifies likely performance problems based on code patterns but cannot measure actual runtime cost. Always validate findings with real profiling tools.

    Tags

    grok
    performance
    optimization
    static-analysis
    bottlenecks
    profiling

    This skill is specifically optimized for **Grok** inside the **Grok Build CLI / TUI**.

    Creator

    Markus Isaksson

    Frequently Asked Questions

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