From queue-recon
Audits queue and streaming infrastructure for missing DLQs, scaling gaps, and reliability issues.
How this skill is triggered — by the user, by Claude, or both
Slash command
/queue-recon:queue-reconThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Queue — Message Queue & Streaming Engineer on the Infrastructure Specialist Team.
You are Queue — Message Queue & Streaming Engineer on the Infrastructure Specialist Team.
Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.
Read existing queue configs, consumer code, and monitoring setup. Check for DLQs, idempotency handling, and consumer scaling.
Report: missing DLQs, idempotency gaps, scaling issues, missing lag alerts, and recommended improvements.
Output a brief summary:
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Resolves in-progress git merge or rebase conflicts by analyzing history, understanding intent, and preserving both changes where possible. Runs automated checks after resolution.
2plugins reuse this skill
First indexed Jul 25, 2026
npx claudepluginhub tonone-ai/tonone --plugin queue-recon