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Agent Skill · 研究检索

executing-plans(执行计划)

executing-plans 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。

executing-plans 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,权限为只读;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 64,698。

总安装 294周安装 12GitHub Stars 5下载 94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:executing-plans(执行计划)
来源仓库:https://github.com/ckorhonen/claude-skills
仓库路径:skills/executing-plans
安装命令:
npx skills add https://github.com/ckorhonen/claude-skills --skill executing-plans
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/ckorhonen/claude-skills --skill executing-plans

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。

用于加载、审查和批量执行计划任务,强调分阶段汇报机制。执行前需批判性审查计划漏洞,识别依赖缺失和技术风险。通过命令行安装,建议核验权限范围与维护状态,注意可能触发的联网或文件操作。适用于复杂项目实施,要求明确步骤边界和检查点设置。executing-plans 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/executing-plans

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/ckorhonen/claude-skills --skill executing-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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

executing-plans 怎么安装?

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

executing-plans 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。

executing-plans 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

executing-plans 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。

executing-plans 用的人多吗?

公开数据是累计安装 294 次,近一周安装 12 次,下载 94 次,GitHub 5 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。

executing-plans 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
executing-plans

执行计划 · 本页

2945只读未明确通过

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

Executing Plans

Overview

Load plan, review critically, execute tasks in batches, report for review between batches.

Core principle: Batch execution with checkpoints for architect review.

Announce at start: "I'm using the executing-plans skill to implement this plan."

The Process

Step 1: Load and Review Plan

  1. Read the plan file completely
  2. Review it critically — this is where you catch flaws before they become expensive rework. Look for:

- Steps that seem vague or contradictory - Missing dependencies or setup - Assumptions that don't hold in your actual codebase - Technical choices you'd question

  1. If concerns exist: Raise them with your partner before proceeding. Getting alignment now saves many hours of wrong execution
  2. If the plan looks solid: Create a todo tracker and proceed to Step 2

Step 2: Execute Batch

Default: First 3 tasks per batch

The checkpoint-driven approach (3 tasks, pause for feedback, continue) gives your partner visibility and prevents you from building on a flawed foundation.

For each task in the batch:

  1. Mark it as in_progress in your tracker
  2. Follow the plan's steps exactly — they're designed to be small and verifiable
  3. Run the specified verifications before marking done — this catches mistakes early
  4. If verification fails: stop, report it, and wait for guidance
  5. If verification passes: mark as completed and move to the next task

Keep focus tight. Executing 3 tasks well and getting feedback is faster than executing 10 tasks blind and discovering you went the wrong direction halfway through.

Step 3: Report

When the batch is done, report clearly:

  • Show what was implemented (what changed, new files, modified code)
  • Show verification output (test results, error messages if any)
  • Summarize any unexpected findings or minor deviations from the plan
  • End with: "Ready for feedback."

This pause-to-report is critical. It gives your partner a chance to course-correct before you invest more work.

Step 4: Continue

Your partner will respond. They might:

  • Approve and ask you to continue (execute next batch)
  • Point out an issue and ask for changes (go back to Step 1 or Step 2)
  • Change the plan based on new information (return to Step 1)

Follow their guidance. The loop (Execute → Report → Feedback → Continue) prevents you from diverging.

Once you've completed all batches and your partner approves, move to Step 5 (Complete Development).

Step 5: Complete Development

After all tasks complete and verified, finalize the branch. Verify all tests pass, ensure the working tree is clean, and then present options to the user: merge to main, open a PR, or keep the branch for further review.

  • Run the full test suite one final time
  • Confirm no untracked or uncommitted changes remain
  • Ask the user: merge now, open a PR, or leave for manual review

When to Stop and Ask for Help

Execution should pause for clarification when:

  • You hit a blocker mid-batch (missing dependency, test fails, instruction unclear) — continuing blind wastes effort
  • The plan has critical gaps preventing starting — you can't execute what doesn't exist
  • You don't understand an instruction — guessing is slower than asking
  • Verification fails repeatedly — this signals the plan may have flawed assumptions

Why this matters: Stopping early prevents wasted work and lets your partner give you the right guidance. It's faster to pause and clarify than to build on a wrong foundation.

When to Revisit Earlier Steps

Return to Review (Step 1) when:

  • Your partner updates the plan based on your feedback — old review isn't valid anymore
  • Fundamental approach needs rethinking — new information changes strategy

Forcing through blockers creates debt. A pause to reconsider is faster than fixing mistakes later.

Remember

  • Review plan critically first
  • Follow plan steps exactly
  • Don't skip verifications
  • Reference skills when plan says to
  • Between batches: just report and wait
  • Stop when blocked, don't guess
  • Never start implementation on main/master branch without explicit user consent

Common Pitfalls

Agent Skips Review and Starts Executing Immediately

The problem: Jumping straight to Step 2 (Execute Batch) without doing Step 1 (Load and Review Plan). This skips your chance to catch plan flaws before wasting work.

Why it happens: Execution feels more productive than reading; the urge to "just start" is strong.

How to avoid it: Force yourself to read the plan, write down questions, and raise them before marking the first task in_progress. Your review step is the highest-leverage time to prevent rework.

Batch Size Too Large Causes Confusion

The problem: Trying to execute 10+ tasks in a batch makes it hard to track what's done, what's blocked, and where verification failed. You lose the checkpoint benefit.

Why it happens: Wanting to move fast, or misunderstanding "default: first 3 tasks" as a minimum instead of a safe default.

How to avoid it: Stick to 3 tasks per batch unless the plan explicitly says otherwise. After you report and get feedback, you'll know if you should do bigger batches. Smaller batches = clearer reporting = faster feedback loops.

Verification Failures Ignored

The problem: A verification fails (test doesn't pass, output doesn't match expected), but you mark the task completed anyway and move on. This compounds — later tasks depend on earlier ones working.

Why it happens: The temptation to "mark it done" and push forward. Verification feels like optional polish.

How to avoid it: If verification fails, that task is not done. Stop the batch, report the failure, and wait for guidance. The plan may have a flaw or you may have misunderstood a step. Your partner needs to know.

Plan Becomes Stale Mid-Execution

The problem: You're halfway through executing, and your partner realizes the plan needs updating (scope changed, tech choice was wrong, new blocker discovered). But you keep executing the old plan.

Why it happens: You're focused on the tasks in front of you; you don't realize the plan has been superseded.

How to avoid it: After reporting each batch, read your partner's response carefully. If they mention plan changes, go back to Step 1 (Review) even if you're already partway through. Fresh context beats forward momentum.

Integration

Related workflow skills:

  • writing-plans — Generates the plan that this skill executes. This skill assumes a well-structured plan exists; if you need to create one, refer to that skill first.
  • brainstorming — Produces the design that feeds into writing-plans. Run brainstorming → writing-plans → executing-plans for the full workflow.

Git worktree tip: Before executing a plan, consider running in an isolated git worktree so your work is sandboxed from main:

git worktree add ../feature-work -b feature/my-feature

This prevents accidents on main and lets you abandon bad experiments cleanly.

平台分布

Codex

34.66%
按下载量换算33

Claude

32.67%
按下载量换算31

Cursor

17.85%
按下载量换算17

Gemini CLI

9.15%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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