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Agent Skill · AI 工具

moai-workflow-project(摩艾工作流程项目)

moai-workflow-project 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。

moai-workflow-project 是AI 工具类 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;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 2,459。

总安装 198周安装 8GitHub Stars 61下载 62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
MIT

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:moai-workflow-project(摩艾工作流程项目)
来源仓库:https://github.com/modu-ai/cc-plugins
仓库路径:skills/moai-workflow-project
安装命令:
npx skills add https://github.com/modu-ai/cc-plugins --skill moai-workflow-project
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/modu-ai/cc-plugins --skill moai-workflow-project

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

moai-workflow-project 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态或协作事项进行整理。适用于需要分析代码变更或协作事项的 Codex、Claude、Cursor、Gemini CLI 场景。

通过 npx skills add 命令安装,需结合原始 README 确认具体用法。安装前建议核实权限范围、维护状态及是否触发联网或文件操作。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/moai-workflow-project

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/modu-ai/cc-plugins --skill moai-workflow-proje…;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

moai-workflow-project 怎么安装?

在终端执行 npx skills add https://github.com/modu-ai/cc-plugins --skill moai-workflow-project。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

moai-workflow-project 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。

moai-workflow-project 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/modu-ai/cc-plugins --skill moai-workflow-project;npx skills add modu-ai/cc-plugins --skill "moai-workflow-project" 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。

moai-workflow-project 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

moai-workflow-project 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 次,GitHub 61 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。

moai-workflow-project 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
moai-workflow-project

摩艾工作流程项目 · 本页

19861执行命令MIT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

MoAI Workflow Project - Integrated Project Management System

Purpose: Comprehensive project management system that integrates documentation generation, multilingual support, and template optimization into unified architecture with intelligent automation and Claude Code integration.

Scope: Consolidates documentation management, language initialization, and template optimization into single cohesive system supporting complete project lifecycle from initialization to maintenance.

Target: Claude Code agents for project setup, documentation generation, multilingual support, and performance optimization.


Quick Reference

Core Capabilities:

  • Documentation Management: Template-based documentation generation with multilingual support
  • Language Initialization: Language detection, configuration, and localization management
  • Template Optimization: Advanced template analysis and performance optimization
  • Unified Interface: Single entry point integrating all capabilities

Key Features:

  • Automatic project type detection and template selection
  • Multilingual documentation generation supporting English, Korean, Japanese, and Chinese
  • Intelligent template optimization with performance benchmarking
  • SPEC-driven documentation updates
  • Multi-format export including Markdown, HTML, and PDF

Supported Project Types:

  • Web applications
  • Mobile applications
  • Command-line interface tools
  • Libraries and packages
  • Machine learning projects

Implementation Guide

Module Architecture

Documentation Management Capabilities:

  • Template-based documentation generation
  • Project type detection for web, mobile, CLI, library, and ML projects
  • Multilingual support with localized content
  • SPEC data integration for automatic updates
  • Multi-format export capabilities

Language Initialization Capabilities:

  • Automatic language detection from project content
  • Comprehensive language configuration management
  • Agent prompt localization with cost optimization
  • Domain-specific language support
  • Locale management and cultural adaptation

Template Optimization Capabilities:

  • Advanced template analysis with complexity metrics
  • Performance optimization with size reduction
  • Intelligent backup and recovery system
  • Benchmarking and performance tracking
  • Automated optimization recommendations

Core Workflows

Complete Project Initialization Workflow:

Step 1: Initialize the project management system by specifying the project directory path

Step 2: Execute complete setup with the following configuration parameters:

  • Language setting: Specify the primary language code such as "en" for English or "ko" for Korean
  • User name: Provide the developer or team name for personalization
  • Domains: List the project domains such as backend, frontend, and mobile
  • Project type: Specify the project type such as web_application
  • Optimization enabled: Set to true to enable template optimization during initialization

Step 3: Review initialization results which include:

  • Language configuration with token cost analysis
  • Documentation structure creation status
  • Template analysis and optimization report
  • Multilingual documentation setup confirmation

Documentation Generation from SPEC Workflow:

Step 1: Prepare SPEC data with the following structure:

  • Identifier: Unique SPEC ID such as SPEC-001
  • Title: Feature or component title
  • Description: Brief description of the implementation
  • Requirements: List of specific requirements
  • Status: Current status such as Planned, In Progress, or Complete
  • Priority: Priority level such as High, Medium, or Low
  • API Endpoints: List of endpoint definitions including path, method, and description

Step 2: Generate comprehensive documentation from the SPEC data

Step 3: Review generated documentation which includes:

  • Feature documentation with requirements
  • API documentation with endpoint details
  • Updated project documentation files
  • Multilingual versions if configured

Template Performance Optimization Workflow:

Step 1: Analyze current templates to gather metrics

Step 2: Configure optimization options:

  • Backup first: Set to true to create backup before optimization
  • Apply size optimizations: Enable to reduce file sizes
  • Apply performance optimizations: Enable to improve loading times
  • Apply complexity optimizations: Enable to simplify template structures
  • Preserve functionality: Ensure all features remain intact

Step 3: Execute optimization and review results:

  • Size reduction percentage achieved
  • Performance improvement metrics
  • Backup creation confirmation
  • Detailed optimization report

Language and Localization

Automatic Language Detection Process:

The system analyzes the project for language indicators using the following methods:

  • File content analysis examining comments and strings
  • Configuration file examination for locale settings
  • System locale detection
  • Directory structure patterns

Multilingual Documentation Structure:

When creating documentation for multiple languages, the system generates:

  • Language-specific documentation directories such as docs/ko for Korean and docs/en for English
  • Language negotiation configuration
  • Automatic redirection setup between language versions

Agent Prompt Localization:

The localization system provides:

  • Language-specific instructions for agents
  • Cultural context adaptations
  • Token cost optimization recommendations for multilingual prompts

Template Optimization

Performance Analysis Process:

Template analysis provides the following metrics:

  • File size and complexity measurements
  • Performance bottleneck identification
  • Optimization opportunity scoring
  • Resource usage patterns
  • Backup recommendations

Intelligent Optimization Process:

The optimization system applies the following techniques:

  • Whitespace and redundancy reduction
  • Template structure optimization
  • Complexity reduction techniques
  • Performance caching improvements

Configuration Management

Integrated Configuration Status:

The project status includes:

  • Project metadata and type classification
  • Language configuration and associated costs
  • Documentation completion status
  • Template optimization results
  • Module initialization states

Language Settings Update Process:

When updating language settings, configure the following parameters:

  • Conversation language: The language for user-facing responses
  • Agent prompt language: The language for internal agent instructions, often kept as English for cost optimization
  • Documentation language: The language for generated documentation

Updates trigger the following automatic changes:

  • Configuration file modifications
  • Documentation structure updates
  • Template localization adjustments

Advanced Implementation

For advanced patterns including custom template development, performance optimization strategies, and integration workflows, see reference.md which covers:

  • Custom Templates: Creating project-type-specific documentation templates
  • Performance Caching: Implementing template caching for improved performance
  • Batch Processing: Efficiently processing multiple templates simultaneously
  • Integration Workflows: Complete project lifecycle and multilingual management

Resources

Configuration Structure

Project Configuration Fields:

  • Project name: The display name for the project
  • Project type: Classification such as web_application, mobile_application, or cli_tool
  • Initialization timestamp: When the project was initialized
  • Language configuration: Conversation, agent prompt, and documentation language settings
  • System version: The project management system version
  • Initialization status: Whether all modules are fully initialized

Language Configuration Fields for Each Supported Language:

  • Name: Display name in English
  • Native name: Display name in the native language
  • Code: Language code such as en, ko, ja, or zh
  • Locale: System locale string
  • Agent prompt language: Whether to use English or localized prompts
  • Token cost impact: Percentage increase in token usage for non-English prompts

Performance Metrics

Documentation Generation Performance:

  • Complete documentation generation typically completes within 2 to 5 seconds
  • Language detection analysis completes within approximately 500 milliseconds
  • Template optimization duration varies from 10 to 30 seconds depending on project size
  • Configuration updates complete within approximately 100 milliseconds

Memory Usage Characteristics:

  • Base system requires approximately 50MB RAM
  • Large projects may require an additional 10 to 50MB depending on template count
  • Optimization cache uses approximately 5 to 20MB for performance improvements

File Size Impact:

  • Documentation files range from 50 to 200KB per project
  • Optimization backups match the size of original templates
  • Configuration files range from 5 to 10KB for complete project setup

Works Well With

  • moai-foundation-core: Core execution patterns and SPEC-driven development workflows
  • moai-foundation-claude: Claude Code integration and configuration
  • moai-workflow-docs: Unified documentation management
  • moai-workflow-templates: Template optimization strategies
  • moai-library-nextra: Advanced documentation architecture

平台分布

Claude Code

28.64%
按下载量换算18

windsurf

24.33%
按下载量换算15

trae

16.35%
按下载量换算10

OpenCode

13.9%
按下载量换算9

Codex

7.66%
按下载量换算5

Antigravity

3.83%
按下载量换算2

安全审计

Gen Agent Trust Hub

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/modu-ai/cc-plugins --skill moai-workflow-project;npx skills add modu-ai/cc-plugins --skill "moai-workflow-project" 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。

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