ai-runtime-toolkit
AI Runtime工具装备系统，支持8个内部专业工具和10+个外部CLI工具的整合管理，提供工具发现、执行和配置功能，遵循整合优于创造的设计理念
Best use case
ai-runtime-toolkit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI Runtime工具装备系统，支持8个内部专业工具和10+个外部CLI工具的整合管理，提供工具发现、执行和配置功能，遵循整合优于创造的设计理念
Teams using ai-runtime-toolkit should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-runtime-toolkit/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-runtime-toolkit Compares
| Feature / Agent | ai-runtime-toolkit | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI Runtime工具装备系统，支持8个内部专业工具和10+个外部CLI工具的整合管理，提供工具发现、执行和配置功能，遵循整合优于创造的设计理念
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI Runtime 工具装备系统 ## 概述 工具装备是AI Runtime的**外置能力扩展系统**，遵循"**整合 > 创造**"的核心理念，通过智能整合成熟的CLI工具和自主创建的专业工具，实现认知能力的有效扩展。 ## 核心能力 ### 双重工具体系 - **内部工具**: AI Runtime自主创建的专业工具（8个） - **外部工具**: 深度整合的成熟CLI工具（10+个） ### 智能发现系统 - 自动工具检测和注册 - 元数据驱动的管理机制 - 命令行和编程接口双重支持 ## 快速开始 ### 查看所有工具 ```bash # 进入工具装备目录 cd toolkit # 查看所有工具 python3 discover-toolkit.py list # 查看外部工具 python3 discover-toolkit.py list --external ``` ### 使用工具 ```bash # 查看工具详情 python3 discover-toolkit.py show SERVICE-CHECK-001 # 运行工具 python3 discover-toolkit.py run dependency-analyzer . -o deps.json # 搜索工具 python3 discover-toolkit.py search monitor ``` ## 工具分类 ### 内部工具（自主创建） - **Python工具**: 依赖分析器、代码统计器、图形生成器、报告生成器 - **Bash工具**: 服务健康检查器、日志分析器、磁盘健康检查器 - **Node.js工具**: API测试工具 ### 外部工具（深度整合） - **基础必备**: fzf、eza、bat、ripgrep、zoxide、jq - **搜索增强**: fd、ripgrep - **数据处理**: jq - **界面优化**: fzf、eza、bat、starship ## 渐进式披露文档架构 基于 anthropics/skills 设计，按需加载详细信息： ### 核心理念 - **[工具哲学](references/core/toolkit-philosophy.md)** - 设计理念、分类体系和发展策略 ### 使用指南 - **[快速开始](references/guides/quickstart.md)** - 10分钟上手工具装备系统 ### 详细参考 - **[内部工具详解](../docs/references/internal-tools.md)** - 8个自主创建工具的详细说明 - **[外部工具集成](../docs/references/external-tools.md)** - 10+个CLI工具的整合指南 ### 开发指南 - **[创建新工具](../docs/guides/creating-tools.md)** - 工具开发流程和最佳实践 - **[外部工具整合](../docs/guides/external-integration.md)** - 整合第三方CLI工具 ## 设计理念 ### 整合优于创造 - **成熟工具**: 使用经过社区验证的CLI工具 - **专注专业**: 每个工具只做一件事，做到极致 - **认知卸载**: 直接使用，无需重复开发 ### 元数据驱动 - **.meta.yml**: 工具元数据标准格式 - **自动发现**: 基于文件系统结构自动注册 - **类型安全**: 明确的工具分类和版本管理 ## 使用场景 ### 代码分析 ```bash # 分析项目依赖 python3 discover-toolkit.py run dependency-analyzer . -o deps.json # 生成代码统计 python3 discover-toolkit.py run code-stats src/ -o stats.json ``` ### 系统监控 ```bash # 检查服务健康 python3 discover-toolkit.py run service-check http://localhost:3000 # 分析日志文件 python3 discover-toolkit.py run log-analyzer /var/log/app.log --level ERROR ``` ### 数据处理 ```bash # 处理JSON数据 cat data.json | jq '.items[] | select(.status == "active")' # 搜索代码 rg "TODO|FIXME" src/ ``` ## 相关系统 - **[宪法文档](../.ai-runtime/constitution.md)** - 治理原则和约束 - **[记忆系统](../memory/)** - 分层记忆管理 - **[认知记录](../cognition/)** - 分析洞察和探索报告 - **[命令系统](../commands/)** - 运行时命令和交互 ## 版本信息 - **版本**: 2.0.0 - **内部工具**: 8个 - **外部工具**: 10+个 - **最后更新**: 2025-11-14 --- *基于 anthropics/skills 渐进式披露架构设计*
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