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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,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 66,030。

总安装 269周安装 11GitHub Stars 118下载 86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/rileyhilliard/claude-essentials
仓库路径:skills/executing-plans
安装命令:
npx skills add https://github.com/rileyhilliard/claude-essentials --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/rileyhilliard/claude-essentials --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。

executing-plans 用于查找、检索和筛选相关信息,支持基于关键词快速定位候选结果。适用于任务执行与计划落地场景,帮助 Agent 获取操作依据。通过 npx skills add 从 GitHub 仓库安装,路径为 skills/executing-plans。

安装前建议确认是否涉及文件写入或系统调用,确保符合权限策略。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

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/rileyhilliard/claude-essentials --skill execut…;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

executing-plans 怎么安装?

在终端执行 npx skills add https://github.com/rileyhilliard/claude-essentials --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?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/rileyhilliard/claude-essentials --skill executing-plans 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。

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 269 次,近一周安装 11 次,下载 86 次,GitHub 118 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?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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
executing-plans

执行计划 · 本页

269118执行命令未明确未通过

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

You are an orchestrator. Spawn and coordinate sub-agents to do the actual implementation. Group related tasks by subsystem (e.g., one agent for API routes, another for tests) rather than spawning per-task. Each agent re-investigates the codebase, so fewer agents with broader scope = faster execution.

1. Setup

Create a branch for the work unless trivial. Consider git worktrees for isolated environments.

Clarify ambiguity upfront: If the plan has unclear requirements or meaningful tradeoffs, use AskUserQuestion before starting. Present options with descriptions explaining the tradeoffs. Use multiSelect: true for independent features that can be combined; use single-select for mutually exclusive choices. Don't guess when the user can clarify in 10 seconds.

Track progress with tasks: Use TaskCreate to create tasks for each major work item from the plan. Update status with TaskUpdate as work progresses (in_progress when starting, completed when done). This makes execution visible to the user and persists across context compactions.

2. Group Tasks by Subsystem

Group related tasks to share agent context. One agent per subsystem, groups run in parallel.

Why grouping matters:

Without: Task 1 (auth/login) → Agent 1 [explores auth/]
         Task 2 (auth/logout) → Agent 2 [explores auth/ again]

With:    Tasks 1-2 (auth/*) → Agent 1 [explores once, executes both]
SignalGroup together
Same directory prefixsrc/auth/* tasks
Same domain/featureAuth tasks, billing tasks
Plan sectionsTasks under same ## heading

Limits: 3-4 tasks max per group. Split if larger.

Parallel: Groups touch different subsystems

Group A: src/auth/*    ─┬─ parallel
Group B: src/billing/* ─┘

Sequential: Groups have dependencies

Group A: Create shared types → Group B: Use those types

3. Execute

Dispatch sub-agents to complete task groups. Monitor progress and handle issues.

Task tool (general-purpose):
  description: "Auth tasks: login, logout"
  prompt: |
    Execute these tasks from [plan-file] IN ORDER:
    - Task 1: Add login endpoint
    - Task 2: Add logout endpoint

    Use skills: <relevant skills>
    Commit after each task. Report: files changed, test results

Architectural fit: Changes should integrate cleanly with existing patterns. If a change feels like it's fighting the architecture, that's a signal to refactor first rather than bolt something on. Don't reinvent wheels when battle-tested libraries exist, but don't reach for a dependency for trivial things either (no lodash just for _.map). The goal is zero tech debt, not "ship now, fix later."

Auto-recovery:

  1. Agent attempts to fix failures (has context)
  2. If can't fix, report failure with error output
  3. Dispatch fix agent with context
  4. Same error twice → stop and ask user

4. Verify

All four checks must pass before marking complete:

  1. Automated tests: Run the full test suite. All tests must pass.
  2. Manual verification: Automated tests aren't sufficient. Actually exercise the changes:

- API changes: Curl endpoints with realistic payloads - External integrations: Test against real services to catch rate limiting, format drift, bot detection - CLI changes: Run actual commands, verify output - Parser changes: Feed real data, not just fixtures

  1. DX quality: During manual testing, watch for friction: Fix DX issues inline or document for follow-up. Don't ship friction.

- Confusing error messages - Noisy output (telemetry spam, verbose logging) - Inconsistent behavior across similar endpoints - Rough edges that technically work but feel bad

  1. Code review (mandatory): After tests pass and manual verification is done, dispatch the ce:code-reviewer agent via Task tool to review the full diff against the base branch. This step is not optional. Load relevant domain skills into the agent based on what was implemented. Evaluate which apply and include them in the agent prompt: Handle the review verdict: Plan execution is not done until review findings are addressed.

- Skill(ce:architecting-systems) - system design, module boundaries - Skill(ce:managing-databases) - database work - Skill(ce:handling-errors) - error handling - Skill(ce:writing-tests) - test quality - Skill(ce:migrating-code) - migrations - Skill(ce:optimizing-performance) - performance work - Skill(ce:refactoring-code) - refactoring - Must fix: Fix all Critical and Important issues before marking complete - Suggestions: Fix these too unless there's a clear reason not to

5. Commit

After verification passes, commit only the changes related to this plan:

  1. Run git status to see all changes
  2. Stage files by name, not with git add -A or git add. - only stage files you modified as part of this plan
  3. Leave unrelated changes alone - if there are pre-existing staged or unstaged changes that aren't part of this work, don't touch them
  4. Write a commit message that summarizes what was implemented, referencing the plan

6. Cleanup

After committing:

  • Merge branch to main (if using branches)
  • Remove worktree (if using worktrees)
  • Mark plan file as COMPLETED
  • Move to ./plans/done/ if applicable

平台分布

Codex

36.81%
按下载量换算32

Claude

28.58%
按下载量换算25

Cursor

20.53%
按下载量换算18

Gemini CLI

8.68%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

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/rileyhilliard/claude-essentials --skill executing-plans 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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