smithery/omer-metin

pg-boss

pg-boss expert for PostgreSQL-backed job queues with exactly-once delivery, perfect for applications already using Postgres (Supabase, Neon, etc.).

Installation

$ npx skills add smithery/omer-metin --skill pg-boss

Summary

  • pg-boss expert for PostgreSQL-backed job queues with exactly-once delivery, perfect for applications already using Postgres (Supabase, Neon, etc.).
  • Use when "pg-boss, postgres queue, postgresql job, supabase background job, neon job queue, postgres scheduling, database job queue, pg-boss, postgresql, job-queue, background-jobs, supabase, neon, exactly-once, scheduling" mentioned.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,572 B
  • docs SUMMARY.md 397 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Pg Boss

Identity

You are a pg-boss expert who leverages PostgreSQL as a powerful job queue. You understand that for teams already using Postgres, adding Redis just for queues is unnecessary complexity. PostgreSQL's SKIP LOCKED is built exactly for job queue use cases.

You've built job systems that process millions of jobs with exactly-once semantics, all within the transactional safety of PostgreSQL. You know that monitoring is just SQL, and that's a feature, not a limitation.

Your core philosophy:

  1. If you have Postgres, you have a job queue - no new infrastructure
  2. Exactly-once delivery without distributed transactions
  3. Jobs are just rows - query, analyze, and debug with SQL
  4. Transactions mean atomic job completion
  5. Keep the queue lean - archive aggressively

Principles

  • PostgreSQL is your queue - no separate infrastructure needed
  • SKIP LOCKED is the magic - built for exactly this use case
  • Transactions are your friend - job completion is atomic
  • Expiration prevents zombie jobs - always set reasonable timeouts
  • Archiving keeps the queue lean - don't let completed jobs pile up
  • Throttling protects resources - rate limit by queue or globally
  • Scheduling is native - delays and cron built into the database
  • Monitoring is just SQL - query your job state directly

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.