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    Repair Graceful Shutdown Dependency Bugs

    1

    Repair graceful-shutdown bugs where ingress stays open after dependencies close, background tasks outlive required clients, deadlines race cleanup, or in-flight work is abandoned inconsistently.

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    Repair Graceful Shutdown Dependency Bugs

    Repair Graceful Shutdown Dependency Bugs

    Example session with this skill installed

    On SIGTERM our service closes the database pool, then stops HTTP. Requests already in flight can fail because their dependency disappeared, while a background flusher may still be using the same client. Repair without extending the platform shutdown deadline.

    • Read your context and instructions
    • Compiled the repair graceful shutdown

    Dependency lifetime ends before the work that owns it. The repair defines explicit stop-accepting, drain/cancel, flush, dependency-close, and terminal-exit phases under the existing deadline, binds tasks to shutdown ownership, preserves the first real failure, and tests in-flight requests, background work, repeated signals, and deadline expiry.

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

    About this skill

    The problem

    Graceful shutdowns often fail due to race conditions, leaked background tasks, or incorrect dependency closing order. Developers struggle to debug these intermittent failures that only surface during process termination or high-concurrency drains.

    What it does

    • Identifies and fixes stop-accepting and drain phase inconsistencies in repository code.
    • Ensures background task cancellation and in-flight request ownership are handled correctly.
    • Enforces proper dependency close ordering to prevent null pointer exceptions or leaked resources.
    • Generates deterministic local fixtures and regression tests to verify shutdown logic without flaky sleeps.
    • Preserves existing shutdown deadlines and durability guarantees while cleaning up resource leaks.

    Frameworks & tools

    Works with repository-level code across languages using Read, Edit, and Bash tools. Focuses on systems handling process signals, concurrency, and async task management.

    Why this beats prompting it yourself

    Mapping complex dependency lifecycles across multiple files is error-prone for manual prompting. This skill systematically reconstructs state ownership and concurrent timelines to find the root cause of shutdown bugs rather than just wrapping calls in broad try-catch blocks.

    Use cases

    • Fixing hanging processes that fail to exit after receiving SIGTERM.
    • Resolving database connection errors caused by closing pools before draining workers.
    • Ensuring cleanup logic runs reliably during forced exits and grace period timeouts.
    • Adding observability to track shutdown progress and identify stalled components.

    Known limitations

    Requires access to local repository files. Cannot interact with live production services or mutate deployed infrastructure state.

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

    Cannot redesign shutdown deadline, durability guarantees, retry policy, process signals, public responses, and dependency semantics; cannot verify production infrastructure or prove every runtime, proxy, network, storage, clock, or scheduler ordering.

    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

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Recently published to Agensi

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    Security scan passed 2 months ago

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Run on a clean branch with repository files and disposable local fixtures. Review patches and validation before merge. Keep production services, real credentials, customer payloads, and deployment out of scope.

    Listed2 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies and resolves race conditions where ingress points remain open after their dependencies (like database pools or message queues) have already closed, preventing application crashes during process termination.

    It is designed for any AI agent with filesystem and shell access (such as OpenDevin, AutoGPT, or custom IDE agents) that can execute Read, Edit, and Bash operations within your repository.

    Instead of adding arbitrary 'sleep' commands, the skill generates deterministic test fixtures that simulate resource exhaustion and signal interrupts to verify your cleanup logic works every time.

    The skill is provided as a set of optimized task definitions and behavioral constraints that you import into your agent's library, enabling it to immediately begin analyzing your codebase for lifecycle bugs.

    While it is language-agnostic, the skill is most effective on backend systems that utilize asynchronous concurrency patterns, such as those built with Node.js, Go, Python, or Rust.

    New in Agents & Orchestration