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Agent Skill · 待分类

system-create-skill(系统创造技能)

system-create-skill 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。

system-create-skill 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 6,230。

总安装 470周安装 20GitHub Stars 2下载 165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:system-create-skill(系统创造技能)
来源仓库:https://github.com/multicam/qara
仓库路径:skills/system-create-skill
安装命令:
npx skills add https://github.com/multicam/qara --skill system-create-skill
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/multicam/qara --skill system-create-skill

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

系统创建技能确保: 每项创建的技能都遵循架构标准 自动验证合规性 模板驱动一致性 质量门可防止技能不合规 哲学植根于流程之中 三大核心运营: 创建 - 具有架构合规性的新技能 验证 - 现有技能符合标准 更新 - 修改技能,同时保持合规性 事实来源之一: ${PAI_DIR}/skills/CORE/skill-struct.md 对以下行为零容忍: 孤立的工作流程(未路由) 不可见文件(未链接) 模糊的触发因素(不全面) 结构性违规(错误的原型) 相关文档: ${PAI_DIR}/skills/CORE/skill-struct.md - 规范架构指南(主要) ${PAI_DIR}/skills/CORE/CONSTITUTION.md - PAI总体理念 每周安装量 20 存储库 多机位/卡拉 GitHub 之星 2 第一次看到 2026 年 1 月 27 日 安全审计 Gen Agent Trust Hub 通行证 套接字通行证 斯尼克通行证

来源仓库内路径:skills/system-create-skill

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/multicam/qara --skill system-create-skill;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

system-create-skill 怎么安装?

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

system-create-skill 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。

system-create-skill 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。

system-create-skill 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。

system-create-skill 用的人多吗?

公开数据是累计安装 470 次,近一周安装 20 次,下载 165 次,GitHub 2 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。

system-create-skill 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
system-create-skill

系统创造技能 · 本页

4702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

Workflow Routing (SYSTEM PROMPT)

CRITICAL: Every skill creation request MUST follow architectural compliance validation.

When user requests creating a new skill: Examples: "create skill", "create a skill", "new skill", "build skill", "make skill", "skill for X", "Create-A-Skill" → READ: ${PAI_DIR}/skills/CORE/skill-structure.md → READ: ${PAI_DIR}/skills/system-create-skill/workflows/create-skill.md → EXECUTE: Complete skill creation workflow with architectural validation

When user requests validating existing skill: Examples: "validate skill", "check skill compliance", "audit skill", "verify skill structure" → READ: ${PAI_DIR}/skills/CORE/skill-structure.md → READ: ${PAI_DIR}/skills/system-create-skill/workflows/validate-skill.md → EXECUTE: Skill compliance audit workflow

When user requests updating existing skill: Examples: "update skill", "refactor skill", "fix skill routing", "add workflow to skill" → READ: ${PAI_DIR}/skills/CORE/skill-structure.md → READ: ${PAI_DIR}/skills/system-create-skill/workflows/update-skill.md → EXECUTE: Skill update workflow with compliance checking

When user requests canonicalizing a skill: Examples: "canonicalize skill", "canonicalize this skill", "canonicalize [skill-name]", "rebuild skill to standards", "refactor skill to canonical structure" → READ: ${PAI_DIR}/skills/CORE/skill-structure.md → READ: ${PAI_DIR}/skills/system-create-skill/workflows/canonicalize-skill.md → EXECUTE: Complete skill canonicalization workflow - analyze current skill structure and rebuild according to canonical architecture while preserving functionality


When to Activate This Skill

Direct Skill Creation Requests

  • "create skill", "create a skill", "new skill for X"
  • "build skill", "make skill", "add skill"
  • "Create-A-Skill" (canonical name)
  • "skill for [purpose]" or "need a skill that does X"

Skill Validation Requests

  • "validate skill", "check skill compliance", "audit skill structure"
  • "verify skill follows standards", "is this skill compliant"
  • "review skill architecture", "skill quality check"

Skill Update Requests

  • "update skill", "refactor skill", "fix skill routing"
  • "add workflow to skill", "extend skill"
  • "reorganize skill structure", "migrate skill"

Skill Canonicalization Requests

  • "canonicalize skill", "canonicalize this skill", "canonicalize [skill-name]"
  • "rebuild skill to standards", "refactor skill to canonical structure"
  • "fix skill compliance", "bring skill to canonical form"
  • "standardize skill structure", "make skill compliant"

Quality & Compliance Indicators

  • User mentions "architectural standards" or "compliance"
  • User references "skill-structure.md"
  • User asks about "skill best practices" or "skill patterns"
  • User needs to ensure skill follows "template" or "philosophy"

Core Principles

Architectural Compliance

MANDATORY: Every skill MUST comply with the canonical architecture defined in: ${PAI_DIR}/skills/CORE/skill-structure.md

This document defines:

  • The 3 skill archetypes (Minimal, Standard, Complex)
  • The 4-level routing hierarchy
  • Mandatory structural requirements
  • Workflow organization patterns
  • Naming conventions
  • Routing patterns

NON-NEGOTIABLE Requirements:

  1. Workflow Routing Section FIRST - Immediately after YAML frontmatter
  2. Every Workflow Must Be Routed - No orphaned workflow files
  3. Every Secondary File Must Be Linked - From main SKILL.md body
  4. Canonical Structure Template - Follow the exact structure
  5. Progressive Disclosure - SKILL.md → workflows → documentation → references

Template-Driven Philosophy

Consistency over creativity when it comes to structure:

  • Use established archetypes (Minimal/Standard/Complex)
  • Follow canonical naming conventions
  • Implement proven routing patterns
  • Maintain predictable organization

Creativity where it matters:

  • Domain-specific workflows
  • Custom capabilities
  • Unique integrations
  • Innovative approaches to problems

Quality Gates

Every created/updated skill must pass:

  1. Structural Validation

- Correct archetype directory structure - Proper file naming conventions - Required files present

  1. Routing Validation

- Workflow Routing section present and FIRST - All workflows explicitly routed - Activation triggers comprehensive (8-category pattern)

  1. Documentation Validation

- All files referenced in SKILL.md - Clear purpose and when-to-use guidance - Examples provided

  1. Integration Validation

- No duplication of CORE context - Compatible with agent workflows


Skill Creation Process

Step 1: Define Skill Purpose

Ask user to clarify:

  • What does this skill do? (Core capability)
  • When should it activate? (Trigger patterns)
  • What workflows does it need? (Count and categories)
  • What integrations? (Agents, external services)

Step 2: Choose Archetype

Based on workflow count and complexity - see references/archetype-templates.md for details:

Minimal Skill (1-3 workflows) - Zero framework dependencies Standard Skill (3-15 workflows) - Optional documentation/references Complex Skill (15+ workflows) - Full documentation hierarchy

Step 3: Read Architecture Document

ALWAYS read the canonical architecture before creating:

${PAI_DIR}/skills/CORE/skill-structure.md

This ensures:

  • Latest architectural requirements
  • Current best practices
  • Proven routing patterns
  • Quality standards

Step 4: Create Skill Structure

Use the canonical template from skill-structure.md - follow exact structure for chosen archetype.

Step 5: Validate Compliance

Run through quality gates:

  • ✅ Workflow Routing section present and FIRST?
  • ✅ All workflows explicitly routed?
  • ✅ All files referenced in main body?
  • ✅ Activation triggers comprehensive?
  • ✅ Examples provided?
  • ✅ Naming conventions followed?

Step 6: Test Activation

Verify skill activates with natural language triggers from description.


Extended Context

Primary Reference Document

${PAI_DIR}/skills/CORE/skill-structure.md

  • Canonical guide for all skill structure and routing
  • Defines the 3 archetypes (Minimal, Standard, Complex)
  • The 4-level routing hierarchy
  • All structural requirements and naming conventions
  • Routing pattern examples
  • Complete skill ecosystem reference
  • ALWAYS read this before creating or updating skills

Workflow Files

${PAI_DIR}/skills/system-create-skill/workflows/create-skill.md

  • Complete skill creation workflow
  • Step-by-step process with validation gates
  • Template generation
  • Quality assurance checks

${PAI_DIR}/skills/system-create-skill/workflows/validate-skill.md

  • Skill compliance audit workflow
  • Structural validation
  • Routing validation
  • Documentation validation
  • Integration validation

${PAI_DIR}/skills/system-create-skill/workflows/update-skill.md

  • Skill update and refactoring workflow
  • Adding workflows to existing skills
  • Reorganizing skill structure
  • Migration patterns

Reference Documentation

READ: references/archetype-templates.md for complete structure templates and archetype selection guide

READ: references/skill-examples.md for 6 detailed examples covering all common scenarios


Summary

system-create-skill ensures:

  • Every created skill follows architectural standards
  • Compliance is validated automatically
  • Templates drive consistency
  • Quality gates prevent non-compliant skills
  • Philosophy is embedded in process

Three core operations:

  1. Create - New skills with architectural compliance
  2. Validate - Existing skills against standards
  3. Update - Modify skills while maintaining compliance

One source of truth: ${PAI_DIR}/skills/CORE/skill-structure.md

Zero tolerance for:

  • Orphaned workflows (not routed)
  • Invisible files (not linked)
  • Vague triggers (not comprehensive)
  • Structural violations (wrong archetype)

Related Documentation:

  • ${PAI_DIR}/skills/CORE/skill-structure.md - Canonical architecture guide (PRIMARY)
  • ${PAI_DIR}/skills/CORE/CONSTITUTION.md - Overall PAI philosophy

平台分布

Codex

33.85%
按下载量换算56

Claude

29.3%
按下载量换算48

Cursor

20.1%
按下载量换算33

Gemini CLI

8.69%
按下载量换算14

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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