Execute independent tasks in parallel with acceptance criteria and evidence collection.
npx skills add https://github.com/xz1220/oh-my-kimi --skill ultrawork-xz1220
Please help me install this Agent Skill. Skill: ultrawork Source: https://github.com/xz1220/oh-my-kimi/tree/main/skills/ultrawork Command: npx skills add https://github.com/xz1220/oh-my-kimi --skill ultrawork-xz1220
It solves the time waste of running independent tasks serially by providing a controlled parallel execution engine that still produces lightweight evidence for safe wrap-up.
Use ultrawork to run multiple independent subtasks in parallel while you define clear acceptance criteria and collect evidence to confirm completion, for example ask it to update two separate modules and run the relevant build and tests to verify the changes.
High-intent search queries and answers about installing and using this skill.
Parallel task execution uses a controlled engine to run independent subtasks concurrently, enforcing explicit pass/fail acceptance criteria to verify completion and collect lightweight evidence.
Lightweight evidence collection operates via optional background lanes to gather scoped testing and research data during concurrent execution, confirming task completion without heavy architect validation overhead.
Define explicit pass/fail verification standards for each subtask before delegating, requiring the parallel engine to meet these acceptance criteria and collect evidence prior to marking the work complete.
Yes, the dual-channel approach supports scoped verification workflows by using a direct tool lane for immediate implementation and optional background evidence lanes for concurrent regression mapping and testing.
Avoid high-throughput parallel execution for tasks requiring Ralph-level persistence, architect validation, or verified persistence guarantees, as this engine uses lightweight validation and explicit stop conditions instead.
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