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    Repair Service Dependency Timeout Failures

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    Diagnose and repair service dependency timeouts, deadlines, retries, fallbacks, isolation, and degraded-mode behavior.

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    Repair Service Dependency Timeout Failures

    Repair Service Dependency Timeout Failures

    Example session with this skill installed

    My Go service is timing out, but the downstream API logs show 200 OK. It uses a 5s timeout. The downstream takes 4.5s. We have 3 retries. Fix the cascading failure risk.

    • Read your context and instructions
    • Compiled the repair service dependency

    The diagnosis indicates a deadline alignment failure. Your service has a 5s total timeout, but with 3 retries and a 4.5s downstream latency, the second attempt will always exceed the caller's deadline, wasting resources and potentially saturating the downstream service.

    Cascading Failure Repair

    The following patch implements a retry budget and ensures that the context deadline is respected before attempting a retry. It prevents "zombie" requests where the caller has already given up but the service continues to retry.

    func CallDownstream(ctx context.Context, client *http.Client, req *http.Request) (*http.Response, error) {
        const maxRetries = 3
        const backoff = 100 * time.Millisecond
    
        for i := 0; i <= maxRetries; i++ {
            // Check if we have enough time left for a meaningful attempt
            deadline, ok := ctx.Deadline()
            if ok && time.Until(deadline) < 500*time.Millisecond {
                return nil, fmt.Errorf("insufficient time for retry: %w", ctx.Err())
            }
    
            resp, err := client.Do(req.WithContext(ctx))
            if err == nil && resp.StatusCode < 500 {
                return resp, nil
            }
    
            // Only retry on specific transient errors or 5xx
            if i < maxRetries {
                select {
                case <-time.After(backoff):
                    continue
                case <-ctx.Done():
                    return nil, ctx.Err()
                }
            }
        }
        return nil, errors.New("max retries exceeded")
    }
    

    Deterministic Test Strategy

    To verify this without waiting for real timeouts:

    1. Mock Downstream: Use a httptest.Server with a configurable delay.
    2. Context Injection: Pass a context.WithTimeout(ctx, 5*time.Second).

    Assertion: Verify that the client stops after the first attempt if the elapsed time is > 4.5s, rather than exhausting all 3 retries.

    Next steps

    • Check the ConnectTimeout on your HTTP Transport; it should be significantly lower than the total request timeout.
    • Implement an Exponential Backoff with Jitter to prevent thundering herd issues during downstream recovery.
    • Add a circuit breaker (e.g., gobreaker) to stop attempts entirely if the error rate exceeds 50%.

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    About this skill

    Repair Service Dependency Timeout Failures is a bounded ToolForge Labs workflow. Diagnose and repair service dependency timeouts, deadlines, retries, fallbacks, isolation, and degraded-mode behavior. Works from full repositories or partial context such as snippets, logs, configuration, traces, and architecture notes. Produces concrete repairs or evidence-backed review outputs while preserving existing product/security policy.

    It works from a full repository or partial evidence such as snippets, logs, configuration, traces, tickets, and architecture notes. The skill preserves existing product and security policy, separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair or 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 Agents & Orchestration.

    Requires specific logs, traces, or code snippets for context-only mode. Does not perform live production traffic intervention.

    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

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Use a clean branch or a controlled review workspace. Supply repository files, logs, traces, configuration, or evidence needed for the task. Review all patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed2 months ago
    Updated8 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the diagnosis and remediation of cascading failures in distributed systems, specifically addressing misconfigured timeouts, deadline propagation issues, and improper retry or fallback logic.

    It is highly flexible, requiring either access to your full repository or just partial context like log traces, configuration files, and architecture diagrams to provide actionable repair steps.

    The skill is designed for microservice environments and provides specialized support for Go-based systems, though its logic for circuit breaking and isolation applies across most distributed architectures.

    Yes, the skill is built to prioritize security and product policy, ensuring that all proposed repairs or isolation strategies adhere to your existing infrastructure constraints.

    Each output includes either concrete code repairs or evidence-backed review notes, accompanied by deterministic validation steps to verify the fix before deployment.

    This skill is a bounded ToolForge Labs workflow compatible with major AI agent platforms that support custom tool integration or standardized API hooks.

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