Results for “queue”

Use when the user asks to "build our social posting calendar", "set weekly slots and queue depth per channel", or "plan the evergreen recycle rotation"; produces the always-on brand calendar — pillar allocation with hero/hub/help balance and give:ask targets (all labeled Estimated starting heuristics to calibrate against own analytics, never scored rules), per-channel recurring slots with queue depth, a batching workflow, an evergreen recycle cycle with freshness re-checks, deliberate open slots for realtime/trend moments fed by trend-spotter go/skip verdicts, and first-comment/publish-order ops — cadence commitments filed to the channel registry, and no batch ships to the queue without a SHIP verdict from social-quality-auditor pre-publish mode. Not for repurposing an existing asset or the paid-amplification calendar — use content-amplifier. 社媒排期/内容日历/栏目配比/常青循环复用

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Use when working with Aws Sqs — aWS SQS queue metrics, dead letter queue management, SNS subscription management, message attributes, and queue health monitoring.

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Upstash QStash expert for serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without managing infrastructure. Use when: qstash, upstash queue, serverless cron, scheduled http, message queue serverless.

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Unified chat inbox (Busabase App-in-Skill) aggregating WhatsApp, Discord, Slack, and Telegram messages into one place with a reply queue. Use when the user invokes $kelly-messenger or /kelly-messenger, wants a unified inbox, chat aggregation, to read WhatsApp/Discord/Slack/Telegram messages in one place, review unanswered conversations, queue or approve replies, run connector sync, or manage the outgoing reply queue.

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Message queues, pub/sub, event sourcing with Kafka, RabbitMQ, Redis Streams. Activate on: event-driven, message queue, pub/sub, Kafka, RabbitMQ, event bus, async messaging, dead letter queue. NOT for: CQRS projections (use cqrs-event-sourcing-architect), real-time WebSocket (use websocket-realtime-expert), observability (use observability-apm-expert).

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Expert in background job processing with Bull/BullMQ (Redis), Celery, and cloud queues. Implements retries, scheduling, priority queues, and worker management. Use for async task processing, email campaigns, report generation, batch operations. Activate on "background job", "async task", "queue", "worker", "BullMQ", "Celery". NOT for real-time WebSocket communication, synchronous API calls, or simple setTimeout operations.

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The agent.review_queue register for work Arman must see or test in the UI. Use at the end of any task that produced something reviewable, at the start of a task to check prior feedback, and when reviewing, claiming, routing, or repairing a queue row.

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Implements background job processing with BullMQ/Redis including job queues, workers, scheduling, retries, and monitoring. Use when users request "background jobs", "queue processing", "async tasks", "BullMQ", or "job scheduler".

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Control Sonos speakers on your local network through an agent. Find speakers, check their status, adjust playback and volume, group multiple speakers, and manage favorites and the queue of tracks waiting to play.

• Adjusting playback and volume in a specific room
• Grouping multiple speakers
• Playing favorites or managing queued tracks

View release versions claimed by open pull requests, proposed code changes, alongside work in related Conductor workspaces. Get a read-only snapshot showing queued work and the version slot that /ship would choose next.

• Checking versions claimed by open pull requests
• Reviewing upcoming work across related workspaces
• Finding the version slot /ship would choose next

Generate music through Venice.ai, handling queued requests, completion, and result retrieval. Use it to create short jingles, repeating background music, or provisional scores for prototypes as part of an agent-assisted music workflow.

• Creating a short jingle
• Generating a repeating background music loop
• Making provisional music for a prototype

Use AltoRank to check whether search engines and AI assistants can read a site, review stored Search Console data, research keywords, and create SEO article drafts. Drafts enter a review queue where a person decides what to publish.

• Check a site's readiness for search engines and AI assistants
• Review stored Search Console performance and coverage data
• Research keywords for future articles

Assess pull requests from external contributors for safety, scope, bug evidence, and outstanding requirements. Produce a verdict table with supporting evidence and draft replies to help maintainers decide what should happen next.

• Triage the queue of external contributor PRs
• Assess whether a fork PR is safe to run in CI
• Check whether a fix fits its target version

Review open GitHub pull requests and issues to rank useful, lower-risk actions. Produce a prioritized report covering merge candidates, already-fixed issues, small fixes, branch verification, and contributor credit, with public comments drafted for approval.

• Prioritizing a crowded pull request and issue queue
• Finding small contributions to include before a release
• Identifying already-fixed issues with supporting evidence

Investigate SGLang serving failures by collecting server state, preserving failing requests, and replaying them on a clean target. Summarize evidence and likely causes, then choose the next debugging tool for crashes, stalls, or performance regressions.

• Investigate failed health checks and growing queues
• Reproduce request-specific timeouts or crashes
• Investigate output changes after deployment

Build AWS applications with managed services that reduce server administration. Follow patterns for Lambda functions, HTTP APIs, database access, and queued background processing, with guidance on deployment and delays when functions first start.

• Build HTTP APIs with Lambda and API Gateway
• Read and write application data in DynamoDB
• Process SQS messages with retries and a dead-letter queue

Plan transactional and marketing email systems with delivery queues, retries, monitoring, and event tracking. Review sender authentication, bounce handling, unsubscribe links, and template practices to address delivery problems and support growing email volumes.

• Designing queues and retries for transactional emails
• Reviewing authentication and email delivery issues
• Tracking deliveries, opens, clicks, and bounces

Coordinates specialist agents in Claude Code to work from product requirements through design, implementation, testing, deployment, and operations. Includes task queues, saved progress, parallel reviews, and recovery workflows for managing extended development work.

• Turning product requirements into development tasks
• Coordinating implementation, testing, and reviews
• Resuming extended work from saved progress

Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.

• Run scripts as monitored background jobs
• Coordinate parallel research by AI agents
• Redirect, pause, or resume an agent task

Prepare overdue invoice reminders using accounting records and recent payment data. Adjust each message to the customer's payment history, flag possible payments for checking, and send through PayPal or queue email drafts after approval.

• Checking which customers have overdue invoices
• Adjusting reminders to each customer's payment history
• Checking for recent payments before sending reminders

Keep customer records and sales deals current using emails, meetings, and call transcripts. Prepare activity summaries, follow-up drafts for quiet deals, cleanup proposals, and a next-step queue with owners and dates.

• Turn sales calls into structured deal notes
• Draft follow-ups for quiet deals
• Review duplicate contacts and outdated records

Assign unowned leads and opportunities using company routing rules and existing account relationships. Prepare a recommendation with its reasoning, draft handoff notes, and apply ownership changes after a person accepts or overrides each recommendation.

• Assigning newly received leads to sales representatives
• Reviewing a queue of unassigned opportunities
• Preparing handoff notes with assignment reasons

Generate Terraform alerts for Cloud Run services, jobs, and worker pools using PromQL, a monitoring query language. Monitor errors, latency, resource usage, job failures, and queue delays, with configurable thresholds and explanations of when each alert triggers.

• Monitor Cloud Run service errors and latency
• Detect failed batch job executions
• Monitor worker pool backlogs and message age

Retrieve BigQuery execution records and resource metrics using the right tool for each task. The skill guides monitoring tool selection and SQL queries for performance investigations, capacity analysis, and reviews of billable compute and storage usage.

• Retrieve execution details for a slow job
• Check compute capacity contention and queue delays
• Review reserved capacity and autoscaling limits