This repository serves as a practical "cookbook" for AI coding workflows, offering setup assets, reusable skills, and helper scripts for tools like Augment Context Engine, Claude Code, and Codex CLI. It targets developers seeking to standardize AI-assisted development routines and avoid repetitive environment setup, providing pre-configured components and automation scripts for efficient workflow management.

How It Works

Instead of being an application, aicoding-cookbook provides a curated collection of practical resources. It includes configuration kits for AI tools like Augment MCP, designed for direct use or AI-assisted setup. Additionally, it offers modular, reusable skill packages for Codex CLI, alongside utility scripts for tasks such as skill creation, validation, packaging, and CSV-based task management, promoting standardization and efficiency.

Quick Start & Requirements

• Augment MCP Setup: Utilize the augment-mcp-config/ directory and follow the provided Augment-MCP配置教程.md. This process requires Node.js and npm.
• Codex Skills: Browse skills/codex/ directories, read individual SKILL.md files for usage details.
• Helper Scripts: Scripts under skills/codex/ require Python 3.
• Prerequisites: Assumes familiarity with editing local tool configuration files (e.g., ~/.claude.json, ~/.codex/config.toml).
• Links: No direct links to official quick-start guides or demos are provided within the README.

Highlighted Details

• Augment MCP Configuration Kit: Includes a setup guide and a modified augment.mjs file offering codebase-retrieval and prompt-enhancer capabilities for AI-assisted execution across Windows, macOS, and Linux.
• Reusable Codex Skills: Features taskmaster for multi-step task tracking with CSV milestones, todo-list-csv for lightweight task synchronization, and skill-creator for managing the lifecycle of new Codex skills.
• Utility Scripts: Provides Python CLIs for task CSV management (todo_csv.py), skill scaffolding (init_skill.py), skill validation (quick_validate.py), and packaging (package_skill.py).

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord/Slack), or roadmap are present in the provided README.

Licensing & Compatibility

The overall repository license is not explicitly stated. A LICENSE.txt file is present within the skill-creator subdirectory, but its scope is limited to that specific skill package. Compatibility for commercial use or closed-source linking cannot be determined without a clear repository-level license.

Limitations & Caveats

• Security: Users are explicitly warned against committing sensitive credentials, API tokens, or private keys. A .gitignore file is provided to exclude specific sensitive paths.
• Environment Assumptions: Setup relies on specific local environment configurations and user comfort with manual tool configuration file edits.
• License Ambiguity: The absence of a clear, repository-wide license is a significant adoption blocker for many use cases.