💡 Summary
Archi is a project management tool for AI-assisted development, streamlining setup and feature tracking.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage. Run with least privilege and audit before enabling in production.
Archi
Project scaffolding and management for vibe coding.
Archi is an Agent Skill that helps you set up and manage projects for AI-assisted development. It works with Claude Code, OpenCode, Codex CLI, Cursor, and other skills-compatible agents.
Installation
npx skills add EndlessHoper/archi
Usage
Just run /archi and the agent will figure out what you need based on context. Or be specific:
| Command | What it does |
|---------|--------------|
| /archi | Detect context and choose appropriate action |
| /archi init | Initialize new project with docs structure |
| /archi feature | Manage features (add/start/complete/update) |
| /archi status | Show project overview |
| /archi docs | Sync and update documentation |
Project Structure
When you run /archi init, it creates:
your-project/
├── SPEC.md # Product requirements
└── docs/
├── features/
│ ├── todo/ # Backlog
│ ├── doing/ # In progress
│ └── done/ # Completed
├── research/
│ ├── spikes/ # Technical experiments
│ └── references/
└── bugs/
Feature Tracking
Features are markdown files with YAML frontmatter that move through todo/ → doing/ → done/:
--- title: User Authentication priority: high started: 2026-01-23 --- # User Authentication ## Progress - [x] Basic login - [ ] OAuth providers
The agent detects context from your conversation. Say "I just finished auth" and it'll offer to mark it done.
Why?
Beginners to AI-assisted coding often struggle with:
- Where to put things
- How to track what they're building
- Keeping the AI informed about the project
Archi gives you an opinionated structure that works well with AI coding tools.
License
MIT
Pros
- Streamlines project setup
- Integrates with multiple AI tools
- Clear structure for feature tracking
Cons
- Limited to specific AI tools
- May require learning curve for beginners
- Context detection may not always be accurate
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author EndlessHoper.
