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Agent Skill · 研究检索

plan(计划)

plan 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。

plan 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,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,503。

总安装 432周安装 18GitHub Stars 142下载 144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:plan(计划)
来源仓库:https://github.com/poteto/noodle
仓库路径:skills/plan
安装命令:
npx skills add https://github.com/poteto/noodle --skill plan
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 plan

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。

plan 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 plan。适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

来源仓库内路径:skills/plan

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 plan;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

    它需要执行命令,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

plan 怎么安装?

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

plan 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。

plan 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/poteto/noodle --skill plan 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

plan 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。

plan 用的人多吗?

公开数据是累计安装 432 次,近一周安装 18 次,下载 144 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。

plan 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
plan

计划 · 本页

432142执行命令未明确有提醒

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

Plan

Produce implementation plans grounded in project principles. Write plans to brain/plans/. Do NOT implement anything — the plan is the deliverable.

Autonomous Session Mode

When this skill runs in a non-interactive Noodle execution session (for example Cook, Oops, or Repair):

  • Skip Step 2 (AskUserQuestion) — the scope is fully defined in the initial prompt.
  • Skip Step 6's pause — write the plan, commit it, emit stage_yield (see Step 6), and end the session. Do not wait for human review.
  • Step 4 (find-skills) — install skills autonomously without confirmation.

All other steps proceed normally.

Use Tasks to track progress. Create a task for each step (TaskCreate), mark each in_progress when starting and completed when done (TaskUpdate). Check TaskList after completing each step.

Step 0 — Triage Complexity

Before running the full planning workflow, assess whether this task actually needs a plan:

Trivially small (1-2 files, obvious approach): Tell the user this task doesn't need a plan and suggest implementing directly without the plan skill. Stop here — do not implement.

Needs planning (proceed to Step 1):

  • The change spans 3+ files or introduces new architecture
  • There are multiple valid approaches and the user should weigh in
  • The task has unclear scope or cross-cutting concerns
  • The user explicitly asks for a plan

Step 1 — Load Principles

Read brain/principles.md. Follow every [[wikilink]] and read each linked principle file. These principles govern all plan decisions — cite them by name in the plan overview and phase files.

Do NOT skip this. Do NOT use memorized principle content — always read fresh. The self-check in Step 5b will verify citations exist.

Step 2 — Define Scope and Constraints

Use AskUserQuestion to resolve ambiguity before exploring the codebase:

  • What is in scope vs explicitly out of scope?
  • Are there constraints (dependencies, platform requirements, existing patterns to preserve)?
  • What does "done" look like?

Frame questions with concrete options. If the request is already clear, confirm scope boundaries briefly and move on.

Step 3 — Explore Context with Subagents

Always delegate exploration to subagents via the Task tool. Never do large-scale codebase exploration in the main context.

Spawn exploration agents (subagent_type: Explore) to:

  • Read existing code in affected areas
  • Identify patterns, conventions, and dependencies
  • Map architecture relevant to the change
  • Find tests, types, and related infrastructure

Run multiple agents in parallel when investigating independent areas. For large explorations, use a team.

Step 4 — Gather Domain Skills

Match installed skills and discover missing ones. See references/domain-skills.md for the routing table and discovery workflow.

Step 5 — Write the Plan

Create the plan using file tools. See references/templates.md for the full directory structure, overview/phase file formats, verification strategy, and CLI scaffolding steps.

Phase sizing

  • 1 function/type + tests per phase, or 1 bug fix — not "one file" or "one component" (too variable)
  • Max 2-3 files touched per phase when possible
  • Prefer 8-10 small phases over 3-4 large ones — small phases keep future options open
  • If a phase lists >5 test cases or >3 functions, split it

Redesign check

For changes touching existing code, apply redesign-from-first-principles:

"If we were building this from scratch with this requirement, what would we build?"

Don't bolt changes onto existing designs — redesign holistically.

Alternatives check

For architectural decisions, briefly sketch 2-3 approaches in the overview's Constraints section. State which was chosen and why. This prevents premature commitment and documents the design space explored. See brain/principles/exhaust-the-design-space.md.

Update plans index and todos

Verify both entries exist after writing the plan:

  • brain/plans/index.md has - [[plans/NN-plan-name/overview]]
  • brain/todos.md has the plan wikilink on the todo item

New todo: read <!-- next-id: N -->, append N. [] description [[plans/NN-plan-name/overview]], increment next-id. Do NOT edit brain/index.md — the auto-index hook maintains it.

Archiving completed plans

Move directory to brain/archive/plans/, update brain/plans/index.md, mark todo done via the todo skill.

Step 5b — Self-Check

After writing all plan files, verify these three constraints before proceeding. Fix any violations before moving on.

Principles cited: The overview must reference at least 2 brain principles by [[wikilink]]. If not, re-read brain/principles.md and add the most relevant ones to the overview's design decisions.

Phase sizing: Review each phase. If any phase touches >3 files or lists >5 test cases, split it into smaller phases. Count the files listed under "Changes" — if the list exceeds 3, the phase is too big.

No code in phases: Phase files must not contain Go/TS/Python code blocks. Name types and functions but do not define them. A phase should read like a brief to a senior engineer, not a diff or implementation spec. If you find code blocks, replace them with prose describing the intended shape.

Step 6 — Present and Yield

Summarize the plan: list the phases, scope boundaries, applicable skills, and verification approach. Ask the user to review the plan files in brain/plans/.

Emit stage_yield to signal the deliverable is complete:

noodle event emit --session $NOODLE_SESSION_ID stage_yield --payload '{"message": "Plan written to brain/plans/NN-slug-name/overview.md"}'

This tells the Noodle backend the stage's work is done, even if the agent process hasn't exited yet. Without this, the stage only completes on clean process exit.

Stop here. Do not begin implementation. The user decides when and how to execute the plan.

平台分布

Codex

34.36%
按下载量换算49

Claude

32%
按下载量换算46

Cursor

21.05%
按下载量换算30

Gemini CLI

10.38%
按下载量换算15

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/poteto/noodle --skill plan 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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