Agentic Coding Standard CLI - Scaffold .agent/ directories for AI-ready codebases
Project description
Agentic Coding Standard CLI
Agentic Coding Standard CLI — Scaffold .agent/ directories for AI-ready codebases.
Why?
AI coding agents (Cursor, Windsurf, GitHub Copilot) work best when they have immediate context about your project's standards, conventions, and goals. The .agent/ directory provides this context in a standardized format.
Installation
Quick Install (Recommended)
Windows (PowerShell as Admin):
irm https://raw.githubusercontent.com/Alaa-Taieb/asc-cli/main/install.ps1 | iex
macOS/Linux:
curl -sSL https://raw.githubusercontent.com/Alaa-Taieb/asc-cli/main/install.sh | bash
Via pip
pip install agentic-std
Note: If using pip directly, ensure Python's Scripts directory is in your PATH.
Usage
Initialize a project
acs init
This creates a .agent/ directory with:
| File | Purpose |
|---|---|
blueprint.md |
Project vision, personas, MVP features |
rules.md |
Tech stack, naming conventions, verification steps |
vibe-guide.md |
Brand voice, visual language |
journal.md |
Decision log |
Force overwrite
acs init --force
Check version
acs --version
The Standard
This CLI implements the Agentic Coding Standard — a set of documentation conventions for AI-agent-ready codebases.
License
MIT
Project details
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