aicoding-cookbook 是一个面向 AI Coding 工作流的实用资料仓库,收集了本地配置资产、可复用技能和辅助脚本。它的定位不是应用、SDK 或框架,而是一套围绕真实操作场景整理出来的 cookbook,用于配置工具、复用技能,以及标准化日常的 AI 辅助开发流程。
- 使用 Claude Code、Codex CLI、Augment Context Engine 等 AI 编码工具的开发者
- 希望直接复用现成配置资产,而不是每次从零搭建环境的个人或团队
- 需要维护 Codex 技能、任务跟踪流程和技能打包流程的操作者
augment-mcp-config/ 目录提供了一套面向 Augment Context Engine MCP 的配置资料:
Augment-MCP配置教程.md:中文配置指南,面向 AI 辅助执行场景,覆盖 Augment MCP 和 Codex MCP 在 Windows、macOS、Linux 上的配置流程augment.mjs:随指南一起提供的augment.mjs文件。根据指南说明,这是一个经过修改的 Auggie 入口文件,包含codebase-retrieval和prompt-enhancer能力
这个目录适合直接交给 AI 助手执行配置任务,减少手工逐步操作。
skills/codex/ 目录当前包含 3 个可复用技能包:
taskmaster:多步骤任务跟踪技能,带任务规格、进度日志和基于 CSV 的里程碑管理todo-list-csv:轻量级 CSV 任务跟踪技能,用于把待办文件和 agent 计划保持同步skill-creator:用于创建、校验和打包新技能的说明与脚本集合
仓库里不仅有说明文档,也包含可直接复用的脚本和模板:
skills/codex/todo-list-csv/scripts/todo_csv.py:Python CLI,用来创建和推进任务 CSV,支持path、init、add、start、done、todo、advance、plan、status、cleanup等命令skills/codex/skill-creator/scripts/init_skill.py:从模板初始化一个新技能目录skills/codex/skill-creator/scripts/package_skill.py:先校验技能,再把技能目录打包成 zipskills/codex/skill-creator/scripts/quick_validate.py:对技能SKILL.md的元数据做轻量校验skills/codex/taskmaster/assets/:可复用的SPEC.md、PROGRESS.md、TODO.csv模板
aicoding-cookbook/
├── README.md
├── augment-mcp-config/
│ ├── Augment-MCP配置教程.md
│ └── augment.mjs
└── skills/
└── codex/
├── skill-creator/
│ ├── LICENSE.txt
│ ├── SKILL.md
│ └── scripts/
├── taskmaster/
│ ├── SKILL.md
│ └── assets/
└── todo-list-csv/
├── SKILL.md
└── scripts/
- 打开
augment-mcp-config/ - 按
Augment-MCP配置教程.md中的步骤执行 - 只有在你的本地环境与文档假设一致时,才替换已安装环境中的
augment.mjs - 按文档说明在 Claude Code 或 Codex CLI 中配置对应 MCP 服务
- 浏览
skills/codex/下的各个技能目录 - 阅读每个
SKILL.md,确认其触发条件和工作流 - 如果你需要复用其中的既定流程,优先直接使用随技能附带的脚本和模板
如果你只需要自动化部分,也可以直接使用这些脚本:
todo_csv.py:CSV 任务推进init_skill.py:技能脚手架初始化package_skill.py:技能打包quick_validate.py:技能元数据快速校验
- Augment/Auggie 相关配置流程默认需要 Node.js 和 npm
skills/codex/下的辅助脚本默认需要 Python 3- Augment 配置指南默认你能够编辑本地工具配置文件,例如
~/.claude.json或~/.codex/config.toml
- 当前顶层 README 默认使用中文,便于中文读者直接阅读
- 仓库中仍然保留部分中文原始资料,例如
augment-mcp-config/Augment-MCP配置教程.md - 向下滚动即可查看完整英文版说明
- 不要把真实 API token、私钥或机器相关凭据提交进这个仓库
- 当前
.gitignore已忽略一个本地敏感路径:augment mcp setting/key.txt
- J3n5en 提供了指南中引用的修改版
augment.mjs - Augment ACE MCP
- OpenAI Codex CLI
aicoding-cookbook is a practical repository of setup assets, reusable skills, and helper scripts for AI coding workflows. It is not an application, SDK, or framework. It is a working cookbook for configuring tools, reusing skill packages, and standardizing day-to-day AI-assisted development routines.
- Developers who use AI coding tools such as Claude Code, Codex CLI, and Augment Context Engine
- Individuals or teams who want reusable local setup assets instead of rebuilding toolchains from scratch
- Operators who maintain Codex skills, task-tracking flows, and skill packaging workflows
The augment-mcp-config/ directory contains a setup package for Augment Context Engine MCP:
Augment-MCP配置教程.md: a Chinese-language setup guide for AI-assisted execution, covering Augment MCP and Codex MCP setup across Windows, macOS, and Linuxaugment.mjs: a bundledaugment.mjsfile referenced by the guide. The guide describes it as a modified Auggie entry file withcodebase-retrievalandprompt-enhancersupport
This folder is designed to be handed directly to an AI assistant so the assistant can perform most of the setup process.
The skills/codex/ directory currently contains three reusable skill packages:
taskmaster: a multi-step task tracking skill with task specifications, progress logging, and CSV-backed milestone managementtodo-list-csv: a lightweight CSV task tracker that keeps a to-do file synchronized with agent planningskill-creator: a guide and script bundle for creating, validating, and packaging new skills
The repository includes reusable scripts and templates in addition to documentation:
skills/codex/todo-list-csv/scripts/todo_csv.py: a Python CLI for creating and advancing task CSV files, with commands such aspath,init,add,start,done,todo,advance,plan,status, andcleanupskills/codex/skill-creator/scripts/init_skill.py: initializes a new skill directory from a templateskills/codex/skill-creator/scripts/package_skill.py: validates and packages a skill directory into a zip archiveskills/codex/skill-creator/scripts/quick_validate.py: performs lightweight validation onSKILL.mdmetadataskills/codex/taskmaster/assets/: reusable templates forSPEC.md,PROGRESS.md, andTODO.csv
aicoding-cookbook/
├── README.md
├── augment-mcp-config/
│ ├── Augment-MCP配置教程.md
│ └── augment.mjs
└── skills/
└── codex/
├── skill-creator/
│ ├── LICENSE.txt
│ ├── SKILL.md
│ └── scripts/
├── taskmaster/
│ ├── SKILL.md
│ └── assets/
└── todo-list-csv/
├── SKILL.md
└── scripts/
- Open
augment-mcp-config/ - Follow the steps in
Augment-MCP配置教程.md - Replace the installed
augment.mjsonly if your local environment matches the assumptions in the guide - Configure the MCP server in Claude Code or Codex CLI as described in the document
- Browse the folders under
skills/codex/ - Read each
SKILL.mdto understand its trigger conditions and workflow - Reuse the bundled scripts and templates when you want the exact packaged workflow
If you only want the automation pieces, the bundled scripts can also be used directly:
todo_csv.pyfor CSV-backed task progressioninit_skill.pyfor skill scaffoldingpackage_skill.pyfor skill packagingquick_validate.pyfor lightweight metadata validation
- Node.js and npm are expected for the Augment/Auggie-related setup flow
- Python 3 is expected for the helper scripts under
skills/codex/ - The Augment guide assumes you are comfortable editing local tool configuration files such as
~/.claude.jsonor~/.codex/config.toml
- This README defaults to Chinese for the primary reading experience
- Some bundled source materials are still Chinese-language documents, especially
augment-mcp-config/Augment-MCP配置教程.md - The English section mirrors the same repository facts for global readers
- Do not commit real API tokens, private keys, or machine-specific credentials into this repository
- The current
.gitignorealready excludes a local secret path:augment mcp setting/key.txt
- J3n5en for the modified
augment.mjsreferenced by the bundled guide - Augment ACE MCP
- OpenAI Codex CLI