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    Repair File Watcher, Hot Reload & Reload Leaks

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    Repair File Watcher, Hot Reload & Reload Leaks is a bounded ToolForge Labs workflow.

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    Repair File Watcher, Hot Reload & Reload Leaks

    Repair File Watcher, Hot Reload & Reload Leaks

    Example session with this skill installed

    A Node development service watches configuration and template folders. After several hot reloads CPU usage rises, rebuilds fire multiple times, and the process eventually hits file-descriptor limits. Repair the watcher lifecycle without disabling hot reload or changing the watched paths.

    • Read your context and instructions
    • Compiled the repair file watcher

    The likely issue is a contract mismatch around file watchers, hot reload, duplicate subscriptions, recursive watches, stale handles, rebuild loops, configuration reloads, shutdown cleanup, path churn, and cross-platform watcher semantics. I would first define the invariant: Each logical watch target has one bounded owner and one teardown path; reloads may replace state but must not accumulate duplicate watchers, callbacks, or rebuild loops. 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.

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    About this skill

    Repair File Watcher, Hot Reload & Reload Leaks is a bounded ToolForge Labs workflow. Diagnose, review, and repair file watchers, hot reload, duplicate subscriptions, recursive watches, stale handles, rebuild loops, configuration reloads, shutdown cleanup, path churn, and cross-platform watcher semantics. 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.

    Requires explicit logs or file access to distinguish between LIKELY causes and VERIFIED evidence. Cannot verify production-only environment variables without provided documentation.

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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

    This skill is designed for AI agents operating in Node.js and TypeScript environments, specifically those managing build tools, CLI utilities, or custom development servers that utilize file watching libraries.

    It targets the root cause of HMR loops, such as improper teardown logic and duplicate event subscriptions, providing fixes that ensure your dev server doesn't trigger unnecessary or infinite rebuilds.

    The skill includes automated logic for diagnosing recursive watch overhead, auditing symlink handling, and implementing robust error/reconnect patterns to prevent resource exhaustion.

    Yes, the skill provides patterns for generating deterministic test harnesses that use fakes and bounded mocks, replacing the flaky timing-based tests often found in file-watching logic.

    No, it is designed to work with existing file-watching libraries by auditing their implementation and lifecycle management rather than replacing your entire build stack.

    New in APIs & Backend