do-agent

Name: do-agent
Availability: InStock
Author: xueheng-li

Coordinate up to ten parallel sub-agents for multi-stage task execution.

4|Updated Jan 30, 2026

Search Tags:#automation #workflow #multi-agent #orchestration #parallel-processing #task-planning

Ready to run

npx skills add https://github.com/Xueheng-Li/ai-tools-installation --skill do-agent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: do-agent
Source: https://github.com/Xueheng-Li/ai-tools-installation/tree/main/recommended_skills/do-agent
Command: npx skills add https://github.com/Xueheng-Li/ai-tools-installation --skill do-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users need a way to execute complex, multi‑stage tasks that involve parallel sub‑agents, systematic planning, and iterative revision without manual coordination.

Core Features & Use Cases

Multi‑stage planning: Define up to ten parallel sub‑agents per stage with explicit input/output files.
Automated execution: Generates temporary workspaces, runs all agents, and tracks progress automatically.
Iterative review: Includes built‑in review and revision phases to refine results.
Use case example: Coordinating a research synthesis where separate agents gather data, draft sections, review content, and produce a final report.

Quick Start

Ask the do‑agent skill to coordinate a multi‑agent workflow for analyzing the latest AI research papers.

Frequently Asked Questions about do-agent

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

FAQPage Schema

How do I automate multi-stage workflows with parallel sub-agents?▼

Multi-stage workflow automation is achieved by orchestrating up to ten parallel sub-agents per stage with explicit input and output files. The system generates temporary workspaces, executes all agents automatically, and tracks progress without requiring manual intervention.

What is multi-agent orchestration for task planning?▼

Multi-agent orchestration is a coordinated hierarchy where sub-agents execute tasks in parallel, followed by iterative review and revision phases. It enforces context protection and file-based communication to refine results systematically across complex stages.

Can I run fully automated parallel processing without human intervention?▼

Fully automated parallel processing runs without human intervention by enforcing context protection and file-based communication across all agents. The system handles workspace generation, execution, and progress tracking independently once the workflow is defined.

Does multi-agent orchestration support iterative review and revision?▼

Multi-agent orchestration supports iterative review and revision through built-in phases that refine results after parallel execution. Separate agents can draft content, review outputs, and produce final reports systematically within the same workflow.

What's the best way to coordinate research synthesis using parallel agents?▼

Coordinating research synthesis with parallel agents involves assigning separate agents to gather data, draft sections, and review content. The orchestration system manages these sub-agents through file-based communication, automatically producing a final refined report.

What are the limitations of file-based communication in multi-agent orchestration?▼

File-based communication in multi-agent orchestration requires explicit input and output file definitions for up to ten sub-agents per stage. This structured approach enforces context protection but limits real-time inter-agent messaging during parallel execution.