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Archify

tt-a1i/archify

Turn an idea or codebase into an interactive architecture or workflow diagram.

Get started ↓

What is Archify?

Prepared by LessAI Tools from public project documentation

Archify gives a coding assistant instructions for turning a description, plan or repository into a diagram you can explore. It creates a self-contained HTML file with details behind its nodes, so teammates can open the result in a browser. Start with a plain-language idea or ask the assistant to inspect a repository for supporting evidence.

Archify setup documentation

What you need

  • Use a supported host such as Claude Code, Codex, Cursor or OpenCode and follow the official installation guide.
  • Give the assistant the idea to explain, or access to the repository it should inspect. View the generated HTML in a browser.

Limitations and costs

  • Check diagrams against the source: generated diagrams can miss important relationships or details.
  • The code is MIT-licensed. Model access and third-party online services have separate pricing and privacy terms.
  • An optional update check contacts the project's fixed manifest endpoint. This site has not installation-tested the skill.
Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Archify use cases

  • Architecture, workflow and data-flow diagrams
  • Interactive HTML output for browser viewing
  • Diagrams based on descriptions or repository evidence

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.

Alternatives to Archify for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Matt Pocock Skills — Clarify requirements, improve code structure, test changes and prepare a clear record for the next agent.
  • Superpowers — Give AI a development workflow for clarifying requirements, planning, coding, and checking results.
  • ECC — Give your coding assistant repeatable steps for planning, tests, reviews and project memory.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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