archon

Manage AI workflows with dependencies, external tools, and isolated git worktrees.

Updated May 4, 2026
One-click install
npx skills add https://github.com/BAS-More/Archon --skill archon-bas-more
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: archon
Source: https://github.com/BAS-More/Archon/tree/main/.claude/skills/archon
Command: npx skills add https://github.com/BAS-More/Archon --skill archon-bas-more

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Managing complex AI-driven workflows requires deterministic orchestration, integration of external tools, and safeguards to ensure safety and reproducibility.

Core Features & Use Cases

  • Workflow Automation: Define and execute long-running, multi-step AI workflows with dependencies and conditions.
  • Command and Prompt Management: Create reusable command templates and inline prompts for AI agents.
  • Integration with External Tools: Connect to MCP servers, skills, and external tools for domain-specific tasks.
  • Development Environment Isolation: Use isolated git worktrees for parallel development, testing, and safe experimentation.
  • Example Use: Automatically classify GitHub issues, generate implementation plans, validate results, and create PRs consistently.

Quick Start

Use the archon skill to set up workflows, run commands, and manage configurations in your project.

Frequently Asked Questions about archon

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-step AI workflows with dependencies and conditions?

To orchestrate multi-step AI workflows with dependencies, you can define and execute long-running tasks using deterministic automation that manages conditions, reusable command templates, and inline prompts for reliable AI agents.

Can I execute AI development tasks in isolated environments for safe experimentation?

Yes, you can execute AI development tasks in isolated environments by leveraging git worktrees, which provide safe, parallel development branches for testing and reproducible automation without affecting the main repository.

What is the best way to integrate external tools and MCP servers into AI automation workflows?

The best way to integrate external tools and MCP servers into AI automation is by connecting them directly to your workflow orchestration, enabling domain-specific task execution alongside structured output management.

How do I automatically classify GitHub issues and generate implementation plans?

You can automatically classify GitHub issues and generate implementation plans by defining a structured AI workflow that sequentially processes inputs, validates results, and creates pull requests consistently.

Does deterministic AI workflow orchestration require specific dependencies or external skills?

Deterministic AI workflow orchestration operates without specific core dependencies but supports seamless integration with external skills and MCP servers to handle domain-specific tasks within your project.

When do I need structured output management for complex AI-driven projects?

You need structured output management for complex AI-driven projects when executing long-running automation that requires dependency control, environment isolation, and consistent reproducible results across multiple development cycles.