sequencer

Execute ordered task sequences with sequential or parallel step execution.

2|Updated Mar 1, 2026

Search Tags:#automation #workflow #parallel execution #orchestration #pipeline #sequencing

Ready to run

npx skills add https://github.com/synapseradio/ai-skills --skill sequencer

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex, multi-step processes by allowing you to define and execute ordered sequences of actions, whether they involve multiple AI skills, agents, or custom instructions.

Core Features & Use Cases

Pipeline Definition: Define sequences using intuitive arrow syntax, bullet lists, or natural language prose.
Parallel Execution: Run multiple steps concurrently for efficiency using ( step1 | step2 ) syntax.
Context Accumulation: Each step's output is automatically passed as context to the next, ensuring continuity.
Use Case: Automate a software development workflow: /seq lint -> test -> deploy -> notify_team.

Quick Start

Use the sequencer skill to run the lint, test, and deploy skills in order.

Frequently Asked Questions about sequencer

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

FAQPage Schema

How do I automate a multi-step workflow with parallel execution?▼

You can automate a complex workflow by defining ordered task sequences using arrow syntax, bullet lists, or prose. The orchestrator supports running multiple steps concurrently using the `( step1 | step2 )` syntax for efficient parallel execution.

How does context accumulation work when orchestrating a pipeline of multiple agents?▼

Context accumulation automatically passes each step's output as context to the next step in the pipeline. This ensures continuity across sequential and parallel executions by managing execution flow through subagents and temporary file storage for inter-step communication.

Can I use natural language prose to define a task sequence for automation?▼

Yes, you can define task sequences using intuitive arrow syntax, bullet lists, or natural language prose. The parser interprets these formats to execute ordered sequences of actions involving multiple AI skills, agents, or custom instructions.

What is the best way to run lint, test, and deploy skills in a specific order?▼

The best way to run lint, test, and deploy skills in order is to define a pipeline using arrow syntax like `/seq lint -> test -> deploy -> notify_team`. This streamlines the software development workflow by executing steps sequentially with accumulating context.

Does pipeline orchestration support concurrent execution of skills and agents?▼

Yes, pipeline orchestration supports concurrent execution of skills and agents. You can run multiple steps concurrently for efficiency by grouping them with the `( step1 | step2 )` syntax within your defined task sequence.

Are there limitations when passing context between parallel execution steps in a pipeline?▼

Inter-step communication in the pipeline is managed through temporary file storage. While parallel execution runs steps concurrently and accumulates context, complex parallel branches may require careful subagent management to ensure proper execution flow and context continuity.