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    Repair gRPC Deadlines, Cancellation & Retry Bugs

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    Repair gRPC Deadlines, Cancellation & Retry Bugs is a bounded ToolForge Labs workflow.

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    Repair gRPC Deadlines, Cancellation & Retry Bugs

    Repair gRPC Deadlines, Cancellation & Retry Bugs

    Example session with this skill installed

    Our gRPC client sets a 5-second deadline, but retries and server-side background work can continue for much longer. Users see DEADLINE_EXCEEDED while the same operation later completes twice. Repair deadline and cancellation handling without simply increasing timeouts.

    • Read your context and instructions
    • Compiled the repair grpc deadlines

    The likely issue is a contract mismatch around gRPC deadlines, cancellation propagation, retry policy, status mapping, streaming calls, interceptors, background work, idempotency, deadline budgets, and client/server timeout coordination. I would first define the invariant: Every gRPC call must carry one bounded end-to-end deadline budget; cancellation and retries may consume the remaining budget but must not create work that outlives authority or duplicate non-idempotent effects. 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 gRPC Deadlines, Cancellation & Retry Bugs is a bounded ToolForge Labs workflow. Diagnose, review, and repair gRPC deadlines, cancellation propagation, retry policy, status mapping, streaming calls, interceptors, background work, idempotency, deadline budgets, and client/server timeout coordination. 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 access to source code or specific logs/traces to diagnose issues. Does not have access to live production environments or sensitive credentials.

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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 identifies architectural flaws like 'retry storms,' leaking goroutines that outlive parent requests, and failures in deadline propagation across complex service boundaries.

    While it specializes in Go, Java, C++, and Python, the logic applies to any environment using standard Protocol Buffers and gRPC interceptors for context propagation.

    You will receive the specialized agent configuration, including logic for auditing status mappings, idempotency validation, and deterministic testing harnesses for streaming calls.

    The skill requires access to your service definitions (proto files), interceptor logic, or relevant log snippets to diagnose where signals are being swallowed or ignored.

    Unlike generic LLMs, this skill enforces a 'work must never outlive its authority' invariant, ensuring fixes account for idempotency risks and distributed trace context.

    Updates are provided periodically to account for new gRPC specifications and best practices in distributed tracing, ensuring your retry policies remain modern and safe.

    New in APIs & Backend