Orchestrate multi-stage OMX pipelines with state persistence and resume support.
npx skills add https://github.com/Orinks/AccessiWeather --skill pipeline-orinks
Please help me install this Agent Skill. Skill: pipeline Source: https://github.com/Orinks/AccessiWeather/tree/main/.codex/skills/pipeline Command: npx skills add https://github.com/Orinks/AccessiWeather --skill pipeline-orinks
Orchestrates multi-stage OMX pipelines to enable reliable, resumed execution across complex workflows.
Create an autopilot pipeline configuration and run it to execute the default stages (ralplan, team-exec, and ralph-verify).
High-intent search queries and answers about installing and using this skill.
You can orchestrate multi-stage OMX pipelines by using a uniform PipelineStage interface that executes sequential stages and persists state in .omx/state/pipeline-state.json, enabling reliable resumed execution after interruptions across development, testing, and production.
The default OMX autopilot pipeline includes three sequential stages: ralplan, team-exec, and ralph-verify. These stages provide a structured workflow for planning, parallel execution, and verification across your pipeline runs.
Yes, you can tune per-run parameters such as maxRalphIterations, workerCount, and agentType in your OMX pipeline configuration. This allows you to adjust execution behavior dynamically for each pipeline run.
Pipeline state persistence works by saving execution progress to the .omx/state/pipeline-state.json file. This mechanism captures stage completion data, allowing the OMX pipeline to resume execution reliably from the exact point of interruption.
The best way to configure a custom PipelineStage interface is to implement the uniform stage interface provided by the orchestrator, allowing you to compose and execute custom sequential stages alongside the default ralplan, team-exec, and ralph-verify stages.
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