sequencer

Analyze distributed ID generation requirements for uniqueness, sortability, and throughput.

42|2|Updated Jun 1, 2026

Search Tags:#distributed-systems #snowflake #uuid #id-generation #ulid #sequencer

Ready to run

npx skills add https://github.com/proyecto26/system-design-skills --skill sequencer-proyecto26

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sequencer
Source: https://github.com/proyecto26/system-design-skills/tree/main/skills/sequencer
Command: npx skills add https://github.com/proyecto26/system-design-skills --skill sequencer-proyecto26

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of generating unique identifiers across distributed systems without creating performance bottlenecks or data collisions.

Core Features & Use Cases

ID Scheme Selection: Provides guidance on choosing between UUIDs, ULIDs, Snowflake-style IDs, or ticket servers based on your specific ordering and throughput needs.
Stress Testing: Evaluates your chosen ID strategy against failure modes like clock skew, sequence exhaustion, and hot shards.
Use Case: Use this when designing a high-scale messaging system that requires globally unique, time-sortable IDs that can be generated independently by multiple service nodes.

Quick Start

Use the sequencer skill to evaluate the best ID generation strategy for a distributed order management system expecting high write throughput.

Frequently Asked Questions about sequencer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is the best way to generate unique distributed IDs for a high-scale messaging system?▼

The best way to generate unique distributed IDs is to evaluate strategies like UUIDs, ULIDs, or Snowflake-style IDs based on your specific ordering and throughput needs. This ensures globally unique, time-sortable IDs generated independently by multiple service nodes.

How do I choose between ULID and Snowflake for distributed primary keys?▼

Choosing between ULID and Snowflake for distributed primary keys requires analyzing your system's uniqueness, sortability, and throughput constraints. This evaluation checks clock synchronization, bit-budget allocation, and database index performance to determine the optimal scheme.

How do I stress test an ID generation strategy against clock skew and sequence exhaustion?▼

To stress test an ID generation strategy against clock skew and sequence exhaustion, you must evaluate the chosen approach against these specific failure modes. This process identifies potential data collisions and performance bottlenecks across distributed nodes.

Can I use UUIDs for distributed event ordering without creating hot shards?▼

Using UUIDs for distributed event ordering can prevent hot shards because they are randomly generated, but they lack sortability. This skill helps determine if a ticket server or time-sortable ID scheme better suits your database index performance requirements.

When do I need a ticket server instead of Snowflake-style IDs for sharding?▼

You need a ticket server instead of Snowflake-style IDs for sharding when your system cannot guarantee clock synchronization across nodes. This skill analyzes your technical constraints regarding bit-budget allocation and throughput to select the right approach.

Why does my distributed ID generation strategy cause database index performance issues?▼

Your distributed ID generation strategy causes database index performance issues when using non-sortable identifiers like standard UUIDs, leading to fragmentation. This skill helps select time-sortable ID schemes to optimize index performance under high write throughput.