Token导航 LogoToken导航

Agent Skill · 研究检索

schedule(schedule 开发)

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。

schedule 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 55,093。

总安装 490周安装 20GitHub Stars 142下载 158核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/schedule

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/poteto/noodle --skill schedule;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

schedule 怎么安装?

在终端执行 npx skills add https://github.com/poteto/noodle --skill schedule。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

schedule 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

schedule 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

schedule 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

schedule 用的人多吗?

公开数据是累计安装 490 次,近一周安装 20 次,下载 158 次,GitHub 142 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

schedule 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
schedule

schedule 开发 · 本页

490142需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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]]

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

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills