Dispatching Parallel Agents

SkillProductivity

Use when you have 2+ independent tasks with no shared state, dispatches parallel subagents for each task.

Use Dispatching Parallel Agents in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Dispatching Parallel Agents and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Dispatching Parallel Agents skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Dispatching Parallel AgentsStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/yimwoo/hotl-plugin/skills/dispatch-agents/SKILL.md and read by Ahel’s review.

When to Use

  • Tasks are truly independent (no shared files, no sequential dependency)
  • Each task is well-defined with clear success criteria
  • 2-5 tasks in parallel (more than 5 becomes hard to review)

Process

  1. List all tasks and confirm independence
  2. For each task, write a self-contained prompt including:
    • Full context (don't assume agent knows anything)
    • Exact files to touch
    • Success criteria
    • How to verify
  3. Dispatch all agents simultaneously using the Agent tool
  4. Collect results and merge
  5. Run verification across all changes together
  6. Invoke requesting-code-review to dispatch the code-reviewer agent on merged result, then handle findings via receiving-code-review

Safety

Never dispatch agents for tasks involving shared state — race conditions and conflicts will waste more time than sequential execution saves.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
dispatch-agents-hashgraph-online
Source
github.com/hashgraph-online/awesome-codex-plugins