Execute ordered task sequences with sequential or parallel step execution.
npx skills add https://github.com/synapseradio/ai-skills --skill sequencer
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
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.
( step1 | step2 ) syntax./seq lint -> test -> deploy -> notify_team.Use the sequencer skill to run the lint, test, and deploy skills in order.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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