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scheduleschedule 开发

Agent Skill

schedule 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

490

周安装

20

GitHub Stars

142

下载量

158
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:schedule(schedule 开发)
来源仓库:https://github.com/poteto/noodle
仓库路径:skills/schedule
安装命令:
npx skills add https://github.com/poteto/noodle --skill schedule
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/poteto/noodle --skill schedule

简介

schedule 用于查找、检索和筛选相关信息,根据关键词或任务场景快速定位候选结果。

  • 适合在需要根据来源线索快速定位信息时使用,提升搜索效率。
  • 可结合来源仓库和原始 README 核验具体用法,建议确认权限范围和维护状态。
  • 安装命令:npx skills add https://github.com/poteto/noodle --skill schedule。
  • 适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

SKILL.md

Schedule

Read .noodle/mise.json, write .noodle/orders-next.json. The loop atomically promotes orders-next.json into orders.json — never write orders.json directly. Use noodle schema mise and noodle schema orders as the schema source of truth.

Operate fully autonomously. Never ask the user to choose or pause for confirmation.

One Plan at a Time

This is the cardinal scheduling rule. Pick the highest-priority plan with remaining phases and schedule all of them. Do not spread work across multiple plans — finishing one plan end-to-end produces shippable results; advancing many plans one phase each produces nothing usable. If the current plan is blocked, idle (empty orders) rather than context-switching to a different plan. Exception: shared infra orders can run alongside a plan's phases.

Orders Model

Output is {orders: [...]} where each order is a pipeline of stages executed sequentially. Group related work into stages within one order rather than separate orders.

Stages

Each stage has a do field (task key, must match a registered task type) and runs one at a time within the order. The loop advances to the next stage when the current one completes.

A typical order pipeline: execute, then quality, then reflect — all as stages of one order.

Task Types

Read task_types from mise to discover every schedulable task type and its schedule hint. Any registered task type can be a stage within an order. Use do on each stage to bind it to a task type.

Execute Tasks

Schedule execute tasks from the backlog array in mise. Use the backlog item ID (as a string) as the order id.

Backlog items always have id and title. Other fields are adapter-defined and may vary. The default adapter (todos.md) provides: status, section, tags, estimate, and plan. Custom adapters may include any fields — treat unknown fields as useful context.

Shared infrastructure: When multiple plans depend on common infrastructure (shared types, utilities, base packages), propose a standalone infra order before the plan's phases. Use a descriptive slug ID (e.g., "infra-shared-types"). If the infra work is substantial, create a backlog item via the adapter (noodle adapter run backlog add), then use that item's ID as the order ID.

Items with plans: When a backlog item has a plan field (a relative path like brain/plans/29-foo/overview.md), read the plan overview and phase files to understand the work. Schedule one order with a stage per remaining unfinished phase (each unchecked - [] item). Populate order.plan with the plan path(s). Use extra_prompt on each stage to inject plan context: the phase brief and any cross-phase dependencies.

Parallelizing phases: Read the plan to identify dependencies between phases. Phases that depend on earlier phases' output (shared types, APIs, schemas) must be sequential stages. Phases that touch independent areas of the codebase (separate packages, unrelated features, docs vs code) can be parallel stages within the same order. When in doubt, sequential is safer — but don't serialize work that has no real dependency.

Items without plans: Assess complexity before scheduling. If the item is straightforward (single concern, clear scope, small change), schedule as a simple execute task using the backlog item's title and description as the prompt. If the item is complex (multi-file, cross-cutting, ambiguous scope, or you'd want to see an architecture sketch before coding), schedule a plan-first order: a prompt-only stage (no do) that invokes /plan, followed by an adversarial-review stage to challenge the plan. No quality or reflect stages — planning output is a design document, not code. Do NOT use "do": "execute" for plan-first stages — the execute skill tells the agent to implement, which conflicts with the plan skill's "stop after planning" instruction. The plan skill will write phased plans to brain/plans/; on the next scheduling cycle, the item will have a plan field and can be scheduled normally with the standard execute → quality → reflect pipeline.

Standalone orders: Orders can have arbitrary IDs — they don't need to correspond to a backlog item. When a standalone order completes, the backlog done adapter call is a no-op (no matching item to mark done). Use standalone orders for shared infrastructure, maintenance tasks, or cross-cutting work that serves multiple backlog items.

Nothing to schedule: When no backlog items are actionable (all blocked, all in-progress, all done, etc.), still write orders-next.json with an empty orders array ({"orders":[]}). This signals to the loop that scheduling ran but found nothing — preventing hot-loop re-spawns.

Follow-Up and Standalone Stages

Each task type's schedule field describes when and how to schedule it — as a follow-up stage within an order, as a standalone order, or both. Read these hints from task_types in mise and compose orders accordingly.

Recent Events

The mise brief includes a recent_events array — lifecycle events emitted by the loop since the last schedule run. These are context for your scheduling decisions, not commands. See references/events.md for the full event type catalog (internal and external).

Using Events for Scheduling

Events are context, not commands. Consider them alongside backlog state and session history when deciding what to schedule:

  • After stage.failed or order.failed — consider whether the failure needs a debugging order, or if the item should be retried with a different approach.
  • After order.completed — consider follow-up work (reflect, related items that were blocked).
  • After merge.conflict — the affected order may need manual attention; avoid re-scheduling it immediately.
  • After external events like ci.failed — consider scheduling an investigation or fix order if it seems actionable.
  • After registry.rebuilt — new task types may be available; check task_types for scheduling opportunities.

Don't react mechanically to every event. Use judgment: a single stage failure in a long pipeline is normal; three consecutive failures of the same order suggests a deeper problem.

Scheduling Heuristics

  • Cheapest mode: Prefer the lowest-cost provider/model that can handle the task.
  • Explicit rationale: Every order must cite which principle or rule drove its placement.
  • Timebox failures: If an item has failed 2+ times in recent_history, deschedule or split it.

Model Routing

See references/model-routing.md for model selection.

Runtime Routing

Always set "runtime": "process" on all stages. The sprites runtime is still WIP and should not be used yet. Always include "runtime" on scheduled stages so dispatch routing is explicit.

Output

Write valid JSON to .noodle/orders-next.json matching noodle schema orders.

See references/examples.md for order JSON examples and extra_prompt field usage.

Principles

  • [[cost-aware-delegation]]
  • [[foundational-thinking]]
  • [[subtract-before-you-add]]
  • [[never-block-on-the-human]]
  • [[guard-the-context-window]]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.83%
按下载量换算55

Claude

29.29%
按下载量换算46

Cursor

18.4%
按下载量换算29

Gemini CLI

10.19%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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