Schedule work orders from backlog, plan phases, and session history.
npx skills add https://github.com/poteto/noodle --skill schedule-poteto
Please help me install this Agent Skill. Skill: schedule Source: https://github.com/poteto/noodle/tree/main/.agents/skills/schedule Command: npx skills add https://github.com/poteto/noodle --skill schedule-poteto
This Skill helps teams avoid manual, error-prone backlog juggling by automatically scheduling work orders using backlog state, plan phases, and session history.
Load the current backlog, run the scheduler, and observe it writing orders-next.json for subsequent promotion.
High-intent search queries and answers about installing and using this skill.
Automate work order scheduling by evaluating backlog state, plan phases, and session history to determine the next set of actions. The scheduler outputs orders-next.json and promotes it atomically to orders.json, ensuring deterministic progression without manual juggling.
Deterministic order generation prevents manual backlog juggling by using backlog state and session history to output orders-next.json, then atomically promoting it to orders.json. This avoids direct writes and ensures a single plan drives the next actions.
Yes, you can use this scheduler for cross-team infrastructure tasks. It applies to backlog-driven projects and cross-team initiatives by prioritizing a single plan's remaining phases to execute end-to-end, ensuring deterministic progression.
Yes, you need mise and orders schemas to orchestrate workflow phases. The scheduler uses these schemas as the source of truth for task types and plans, ensuring deterministic progression when evaluating backlog and session history.
The best way to prioritize one plan at a time is to let the scheduler evaluate remaining phases and session history. It focuses on finishing a single plan end-to-end before moving to the next, outputting orders-next.json for atomic promotion.
The scheduler writes to orders-next.json instead of orders.json directly to ensure atomic promotion and avoid race conditions. This mechanism guarantees deterministic progression by evaluating backlog and plan phases before updating the source of truth.
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