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Agent Skill · 研究检索

moai-toolkit-codegen(摩艾工具包代码生成)

moai-toolkit-codegen 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。

moai-toolkit-codegen 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,权限为接触敏感数据;许可证为 MIT,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 65,084。

总安装 288周安装 12GitHub Stars 公开资料未说明下载 96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-toolkit-codegen(摩艾工具包代码生成)
来源仓库:https://github.com/rdmptv/adbautoplayer
仓库路径:skills/moai-toolkit-codegen
安装命令:
npx skills add https://github.com/rdmptv/adbautoplayer --skill moai-toolkit-codegen
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/rdmptv/adbautoplayer --skill moai-toolkit-codegen

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。

moai-toolkit-codegen 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中获取信息的场景。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-toolkit-codegen

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/rdmptv/adbautoplayer --skill moai-toolkit-code…;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

    它需要接触敏感数据,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-toolkit-codegen 怎么安装?

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

moai-toolkit-codegen 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-toolkit-codegen 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

moai-toolkit-codegen 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-toolkit-codegen 用的人多吗?

公开数据是累计安装 288 次,近一周安装 12 次,下载 96 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。

moai-toolkit-codegen 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

  • 需要接触敏感数据,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。
  • 需要处理研究检索类任务、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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
moai-toolkit-codegen

摩艾工具包代码生成 · 本页

288—接触敏感数据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

⚠️ UV Script Migration Notice All 4 UV CLI scripts have been consolidated into the builder-skill-uvscript skill on 2025-11-30. New script locations: - builder-skill_generate_agent.py (previously generate_agent.py) - builder-skill_generate_skill.py (previously generate_skill.py) - builder-skill_generate_command.py (previously generate_command.py) - builder-skill_scaffold_test.py (previously scaffold_test.py) - Find all scripts in: .claude/skills/builder-skill-uvscript/scripts/ Usage: uv run.claude/skills/builder-skill-uvscript/scripts/builder-skill_generate_agent.py This skill retains its code generation knowledge and patterns.

Quick Reference (30 seconds)

AI-Powered Code Generation Toolkit

What It Does: Enterprise-grade code scaffolding system that generates MoAI agents, skills, commands, and tests with Context7 latest patterns, TRUST 5 validation, and IndieDevDan UV CLI script standards.

Core Capabilities:

  • 🏗️ Agent Generation: Create agent YAML files with proper frontmatter
  • 📦 Skill Generation: Generate complete skill structure (SKILL.md + scripts/)
  • ⚡ Command Generation: Create slash command files with workflow definitions
  • 🧪 Test Scaffolding: Generate pytest/vitest test files from source code

Progressive Disclosure Workflow:

User Request → SKILL.md (200 tokens) → Script --help (0 tokens) → Execute
     ↓              ↓                      ↓                    ↓
   Dormant     Quick Check         Full Documentation    Implementation

When to Use:

  • Generating new MoAI agents following official patterns
  • Creating skills with IndieDevDan UV script structure
  • Scaffolding slash commands with proper frontmatter
  • Auto-generating test files from existing code
  • Rapid prototyping with MoAI standards compliance

Available Scripts

This skill includes 4 UV CLI scripts following IndieDevDan pattern (PEP 723, dual output, 200-300 lines each).

1. generate_agent.py (350 lines)

Purpose: Generate MoAI agent YAML files with complete frontmatter following official agent standards.

Usage:

# Generate agent with name and description
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_agent.py \
    --name expert-api \
    --description "API design and implementation specialist"

# Generate with custom tools
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_agent.py \
    --name manager-workflow \
    --description "Workflow orchestration manager" \
    --tools "Read,Write,Edit,Bash" \
    --model sonnet

# JSON output mode
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_agent.py \
    --name expert-database \
    --description "Database design specialist" \
    --json

Features:

  • YAML frontmatter generation (name, description, tools, model, color, permissions)
  • Context7 integration for latest agent patterns
  • Orchestration metadata (can_resume, parallel_safe)
  • Coordination metadata (spawns_subagents, delegates_to)
  • Mission statement templates
  • Workflow section templates
  • Report format examples

Exit Codes: 0 (success), 1 (warning), 2 (error), 3 (critical)


2. generate_skill.py (380 lines)

Purpose: Generate complete skill structure with SKILL.md + scripts/ directory following IndieDevDan patterns.

Usage:

# Generate basic skill
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_skill.py \
    --name moai-connector-api \
    --description "REST API client generation toolkit"

# Generate with script templates
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_skill.py \
    --name moai-toolkit-data \
    --description "Data processing toolkit" \
    --scripts "process.py,transform.py,validate.py"

# Full generation with keywords
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_skill.py \
    --name moai-library-testing \
    --description "Testing utilities" \
    --keywords "test,testing,pytest,vitest" \
    --json

Features:

  • SKILL.md with YAML frontmatter
  • scripts/ directory creation
  • Script metadata generation (name, purpose, command)
  • auto_trigger_keywords setup
  • Progressive disclosure documentation
  • "When to use" section generation
  • Available Scripts list with usage examples

Exit Codes: 0 (success), 1 (warning), 2 (error), 3 (critical)


3. generate_command.py (280 lines)

Purpose: Generate slash command.md files with proper frontmatter and workflow definitions.

Usage:

# Generate basic command
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_command.py \
    --name analyze-code \
    --description "Analyze code quality and complexity"

# Generate with allowed tools
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_command.py \
    --name deploy-app \
    --description "Deploy application to production" \
    --tools "Bash,Read,Write"

# Generate with arguments
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_command.py \
    --name review-pr \
    --description "Review pull request" \
    --args "pr-number" \
    --json

Features:

  • Markdown frontmatter generation (description, allowed-tools)
  • Argument parsing setup
  • Workflow section templates
  • Report format templates
  • Example usage documentation
  • Variable substitution placeholders

Exit Codes: 0 (success), 1 (warning), 2 (error), 3 (critical)


4. scaffold_test.py (320 lines)

Purpose: Auto-generate test files (pytest/vitest) from existing source code with comprehensive test coverage.

Usage:

# Generate pytest tests
uv run .claude/skills/moai-toolkit-codegen/scripts/scaffold_test.py \
    --source src/user_service.py \
    --framework pytest

# Generate vitest tests
uv run .claude/skills/moai-toolkit-codegen/scripts/scaffold_test.py \
    --source src/components/Button.tsx \
    --framework vitest

# Generate with custom output path
uv run .claude/skills/moai-toolkit-codegen/scripts/scaffold_test.py \
    --source src/api/client.py \
    --output tests/api/test_client.py \
    --framework pytest \
    --json

Features:

  • Pytest test generation (Python)
  • Vitest test generation (TypeScript/JavaScript)
  • Function/method detection
  • Test case templates (success, failure, edge cases)
  • Mock/fixture generation
  • Assertion templates
  • Coverage target calculation

Exit Codes: 0 (success), 1 (warning), 2 (error), 3 (critical)


Architecture

Design Principles:

  • Self-Contained Scripts: Each script is 200-300 lines with embedded dependencies (PEP 723)
  • Progressive Disclosure: Scripts dormant at 0 tokens until invoked
  • Dual Output: Human-readable (default) + JSON mode (--json flag)
  • MCP-Wrappable: Stateless, JSON output, no interactive prompts
  • Context7 Integration: Latest patterns from official MoAI documentation
  • TRUST 5 Compliance: All generated code follows MoAI quality standards

Integration Points:

  • expert-backend: Backend code generation
  • expert-frontend: Frontend component generation
  • manager-tdd: Test generation workflow
  • builder-agent: Agent creation patterns
  • builder-skill: Skill structure patterns
  • builder-command: Command file patterns

IndieDevDan Pattern Compliance

All 4 scripts follow 13 IndieDevDan rules documented in builder-workflow.md:

✅ Size Constraints: 200-300 lines target (max 500) ✅ ASTRAL UV: PEP 723 # /// script dependency blocks ✅ Directory Organization: Flat scripts/ directory ✅ Self-Containment: Embedded HTTP clients, no shared imports ✅ CLI Interface: Click framework, --help, --json flags ✅ Structure: 9-section template (Shebang, Docstring, Imports, Constants, Project Root, Data Models, Core Logic, Formatters, CLI, Entry Point) ✅ Dependency Management: 0-3 packages, minimum version pinning ✅ Documentation: Google-style docstrings, comprehensive --help ✅ Testing: Basic unit tests (5-10 per script) ✅ Single-File: No multi-file dependencies ✅ Error Handling: Dual-mode errors (human + JSON) ✅ Configuration: Environment variables, no hardcoded secrets ✅ Progressive Disclosure: 0-token dormant, SKILL.md listing


Quick Start

# 1. Generate a new agent
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_agent.py \
    --name expert-api --description "API specialist"

# 2. Generate a new skill
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_skill.py \
    --name moai-connector-rest --description "REST API toolkit"

# 3. Generate a slash command
uv run .claude/skills/moai-toolkit-codegen/scripts/generate_command.py \
    --name analyze-performance --description "Performance analysis"

# 4. Generate tests for existing code
uv run .claude/skills/moai-toolkit-codegen/scripts/scaffold_test.py \
    --source src/user.py --framework pytest

Version: 1.0.0 Status: ✅ Active (Phase 2, Tier 1) Scripts: 4 total (all MCP-ready) Lines: ~1,330 total (avg 332 lines/script) Last Updated: 2025-11-30

平台分布

Claude Code

32.03%
按下载量换算31

windsurf

21.13%
按下载量换算20

OpenCode

19.12%
按下载量换算18

Codex

13.08%
按下载量换算13

Antigravity

8.96%
按下载量换算9

Gemini CLI

3.76%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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