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Agent Skill · 开发

create-agents(创建 Agent)

create-agents 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

create-agents 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 18,464。

总安装 336周安装 14GitHub Stars 公开资料未说明下载 112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:create-agents(创建 Agent)
来源仓库:https://github.com/nkootstra/skills
仓库路径:skills/create-agents
安装命令:
npx skills add https://github.com/nkootstra/skills --skill create-agents
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/nkootstra/skills --skill create-agents

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

create-agents 遵循极简主义原则构建高效 Agent 指令集,剔除冗余上下文提升执行效率。适用于多语言项目(C#、Python、TypeScript)的统一 Agent 行为规范制定。每条指令必须经得起“是否几乎每次会话都有价值”的检验,否则予以删除。

防范长度膨胀与无关要求干扰,确保正确指令不被次要细节淹没而失效。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/create-agents

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/nkootstra/skills --skill create-agents;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

create-agents 怎么安装?

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

create-agents 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。

create-agents 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。

create-agents 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。

create-agents 用的人多吗?

公开数据是累计安装 336 次,近一周安装 14 次,下载 112 次。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。

create-agents 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
create-agents

创建 Agent · 本页

336—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

Include only what genuinely helps, ruthlessly cut everything else. These principles apply regardless of language or framework — C#, Python, TypeScript all follow the same rules.

Core Principles

  • Minimum viable requirements. Ask of each line: "Does this earn its cost on nearly every session?" If not, cut it. Every line loads on every session — brevity has direct cost benefits.
  • Two failure modes. (1) *Length* — as instruction count grows, compliance degrades uniformly, not just for new instructions. (2) *Task-irrelevant requirements* — correct instructions not needed for the current task still get followed, increasing cost and reducing success.
  • Don't send an LLM to do a linter's job. Style guidelines add instructions and irrelevant context. Use actual linters, wired to hooks if the harness supports it.
  • Never auto-generate. Auto-generated files are stuffed with documentation the agent can read directly. Write by hand.
  • Architecture and overview sections have weak evidence in root files. Exception: scoped sub-files can carry richer context — they only load when the agent is already working in that area.

Single File vs. Hierarchical System

Single root file for simple projects: one app, one language, one team. Keep it under 100 lines.

Hierarchical system for monorepos, large codebases, or multiple apps/packages/services. The harness auto-loads AGENTS.md files as the agent navigates — apps/web/AGENTS.md only loads when the agent works there.

Hierarchical Rules

Place files at semantic boundaries — where responsibilities shift or contracts matter. Not in every directory.

Least Common Ancestor for shared knowledge — shared facts belong in the shallowest file covering all relevant paths. Never duplicate across siblings.

Downlink from parent to children — reference child files so the agent can follow the hierarchy:

## Sub-areas
- `packages/ui/AGENTS.md` — component library conventions
- `apps/api/AGENTS.md` — API server, auth, database access

Build leaf-first — write deepest files first. Parents summarize children's AGENTS.md files, not raw code.

Scoped files can be richer — entry points, invariants, and pitfalls are appropriate in a file that only loads for one service.

Writing a New AGENTS.md

# Project or Area Name

One sentence: what it does and why it exists.

## Stack
Tech stack. Package manager or build tool (be explicit — agents assume defaults).
Path aliases if non-standard. Infrastructure if non-obvious (DB, cache, queue).
Directory tree only if ownership boundaries aren't obvious. 1-2 levels max.

## Development
Verification commands only: typecheck, lint, test. What to run before finishing.
Skip inferrable commands. Include non-obvious ones whose names don't reveal purpose
(e.g. `cf-typegen`, `db:migrate`, `dotnet ef database update`).

## Conventions
Only things the agent can't infer from reading the code.
No style rules — use a linter.

A Reference Docs section is fine — only add a pointer if the agent genuinely needs to read it before working in that area.

Auditing an Existing AGENTS.md

Measure first: total lines, distinct instructions, style rules, overview sections. Classify each: essential and universal (keep), task-specific or architectural (cut or demote to pointer), style/lint rule (remove), redundant or stale (remove).

For hierarchical systems: check whether root content belongs in a scoped sub-file, and whether sub-files duplicate knowledge that belongs at their LCA.

Present before/after line counts, what was cut and why, and the complete rewritten file.

Maintenance

On significant changes, update affected AGENTS.md files leaf-first. A CI agent that detects changed files and proposes updates is worth building.

Anti-Patterns to Flag

Command dump — inferrable commands like dev, build, start listed in full.

Deep tree — directory structures more than 2 levels deep. Replace with a sentence.

Architecture tour — system overviews in a root file. One sentence of purpose, or push into a scoped sub-file.

Style guide — formatting rules. Use a linter.

Code museum — large inline snippets. Use file:line references.

Hotfix graveyard — accumulated one-off corrections. Delete them.

Auto-generated blob — output from auto-init commands. Rewrite from scratch.

Stale reference — outdated paths or commands. Update or remove.

Duplicated siblings — the same fact in two sub-files. Hoist to their LCA.

平台分布

Codex

37.62%
按下载量换算42

Claude

27.6%
按下载量换算31

Cursor

17.1%
按下载量换算19

Gemini CLI

8.59%
按下载量换算10

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。

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