Orchestrate multi-stage agent workflows with resumable state persisted to JSON.
npx skills add https://github.com/xz1220/oh-my-kimi --skill pipeline-xz1220
Please help me install this Agent Skill. Skill: pipeline Source: https://github.com/xz1220/oh-my-kimi/tree/main/skills/pipeline Command: npx skills add https://github.com/xz1220/oh-my-kimi --skill pipeline-xz1220
This Skill removes the friction of manually coordinating multiple agent stages (planning, execution, and verification) by providing a single pipeline runner with resumable state.
Ask your agent to run a pipeline for build feature X and execute RALPLAN, then team execution with workerCount set to 3, and finally Ralph verification with maxIterations set to 15.
High-intent search queries and answers about installing and using this skill.
Multi-stage agent workflows with resumable state are orchestrated through a unified pipeline runner that checkpoints progress to .omk/state/pipeline-state.json. This allows automatically resuming execution from the last incomplete stage across runs.
Consensus planning is the initial stage of agent orchestration implemented via RALPLAN. It generates an implementable plan from complex requirements, passing accumulated context to downstream team execution and iterative verification phases.
Executing a plan with multiple workers involves running a team-based execution stage within the pipeline. You can configure the workerCount parameter, such as setting it to 3, to parallelize tasks before final verification.
Yes, specific stages can be skipped in a configurable multi-stage pipeline. The system implements a PipelineStage interface that supports stage skipping, allowing you to bypass unnecessary phases while maintaining accumulated context.
Iterative verification works directly with parallel team execution via Ralph verification. After team execution completes, the pipeline validates results through an iterative loop with configurable parameters like maxIterations set to 15.
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