Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Repair Stream Backpressure Failures

    1

    Repair unbounded stream/queue pipelines, ignored backpressure, slow-consumer memory growth, retry amplification, and cancellation leaks.

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    Repair Stream Backpressure Failures

    Repair Stream Backpressure Failures

    Example session with this skill installed

    Our Node/TypeScript export service reads PostgreSQL rows as an async iterator, enriches them, compresses the result, and streams a ZIP to the HTTP response. The enrichment stage starts work without awaiting capacity, so 30k–80k promises can be in flight. When a client downloads slowly, memory rises above 2 GB. On disconnect, enrichment continues and the DB iterator closes late. Repair backpressure and cancellation locally with generated rows and fake enrichment. Preserve row order and every row. Do not query production, change proxy settings, drop records, or invent a new memory limit.

    • Read your context and instructions
    • Compiled the repair stream backpressure

    Backpressure failure found. Unbounded enrichment creates excessive in-flight work and slow downstream consumption lets results accumulate. The repair adds bounded concurrency, downstream pressure propagation, ordered release, cancellation-aware cleanup, deterministic pressure tests, and in-flight metrics. Production capacity remains unverified.

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

    What you get

    Implement bounded concurrency for heavy async task fan-out.Fix memory leaks in large-scale data export and upload handlers.Propagate cancellation signals to stop active producers and cleanup resources.Add deterministic tests to verify pipeline stability under sustained pressure.

    About this skill

    Backpressure bugs appear when a fast producer can create work faster than a consumer can safely absorb it. The result may be thousands of pending promises, unbounded queues, large buffers, memory spikes, stalled workers, or request pipelines that keep running after cancellation.

    Repair Stream Backpressure Failures gives an AI coding agent a repository workflow for tracing pressure through streams, async iterators, queues, transforms, uploads, downloads, and worker pipelines; repairing flow-control ownership; bounding concurrency; preserving ordering and cancellation; and proving the change with deterministic slow-consumer tests.

    It does not run production load tests, drop data, change live provider limits, or invent production memory/throughput thresholds.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Security scanned

    Verified clean 28 days ago

    • Passed all security checks, Safe to install

    Listed28 days ago
    Updated25 days ago

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