Does it support standard bash scripts?

Yes. If a task is deterministic and shell-only without needing AI decision-making, the orchestrator will guide you to create a standard bash script to save tokens.

How does the skill handle safety during file creation?

It includes a parallelization check that mandates 'Plan Mode' for destructive operations, architectural changes, or when modifying more than five files at once.

When should I use a Sub-Agent instead of a Skill?

Sub-Agents are recommended for complex, autonomous research or exploration tasks that require isolated context and exceed a 2000-token budget.

What is the Edit Tool Orchestrator?

It is a specialized management skill that helps users determine the best way to extend Claude Code, automatically triaging requests to create skills, commands, scripts, or agents.

How does it decide between a Skill and a Command?

The decision is based on token budgets and frequency: Skills are preferred for frequent tasks under 500 tokens, while Commands are suited for user-triggered workflows between 500-2000 tokens.

Edit Tool Orchestrator

Name: Edit Tool Orchestrator
Author: digital-stoic-org

bydigital-stoic-org

Productivity & Workflow

Orchestrates the intelligent creation and triage of Claude Code extensions including skills, commands, and sub-agents.

About

The Edit Tool Orchestrator serves as a centralized intelligence layer for expanding Claude Code's capabilities. It analyzes user requests to build new automations and applies a rigorous decision tree—evaluating token budgets, usage frequency, and execution context—to determine the optimal architecture. Whether a task requires a lightweight Bash script, a frequently auto-invoked Skill, a user-triggered Command, or an isolated Sub-Agent, this skill ensures the right tool is built while managing resource efficiency and parallelization safety.

Key Features

Support for mapping workflows to the most token-efficient extension type
Automated delegation to specialized builders (edit-skill, edit-command, edit-agent)
Visual decision tree logic for transparent tool selection rationale
0 GitHub stars
Intelligent triage based on token budgets and execution frequency
Parallelization safety checks for complex multi-file write operations

Use Cases

Determining whether a new automation should be a simple bash script or a complex sub-agent
Optimizing AI token usage by selecting the right tool architecture for frequent tasks
Scaling Claude Code's functionality by creating reusable custom slash commands

About

Key Features

Support for mapping workflows to the most token-efficient extension type
Automated delegation to specialized builders (edit-skill, edit-command, edit-agent)
Visual decision tree logic for transparent tool selection rationale
0 GitHub stars
Intelligent triage based on token budgets and execution frequency
Parallelization safety checks for complex multi-file write operations

Use Cases

Determining whether a new automation should be a simple bash script or a complex sub-agent
Optimizing AI token usage by selecting the right tool architecture for frequent tasks
Scaling Claude Code's functionality by creating reusable custom slash commands