skills$openclaw/dispatch-multiple-agents
arisylafeta1.9k

by arisylafeta

dispatch-multiple-agents – OpenClaw Skill

dispatch-multiple-agents is an OpenClaw Skills integration for writing workflows. Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently.

1.9k stars8.2k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026writing

Skill Snapshot

namedispatch-multiple-agents
descriptionUse when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently. OpenClaw Skills integration.
ownerarisylafeta
repositoryarisylafeta/clawlistpath: dispatch-multiple-agents
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @arisylafeta/clawlist:dispatch-multiple-agents
last updatedFeb 7, 2026

Maintainer

arisylafeta

arisylafeta

Maintains dispatch-multiple-agents in the OpenClaw Skills directory.

View GitHub profile
File Explorer
1 files
dispatch-multiple-agents
SKILL.md
1.8 KB
SKILL.md

name: dispatch-multiple-agents description: "Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently."

Dispatch Multiple Agents

When you have multiple independent tasks, don't do them sequentially. Dispatch agents to work in parallel.

When to Use

Use when:

  • 3+ independent tasks need attention
  • Tasks don't share state or resources
  • No dependencies between tasks
  • Speed matters

Don't use when:

  • Tasks are related (fixing one might fix others)
  • Tasks share files/resources (would conflict)
  • You need full system context for all tasks
  • Tasks must happen in specific order

The Pattern

1. Identify Independent Domains

Group work by what's needed:

  • Task A: Research competitor A
  • Task B: Research competitor B
  • Task C: Research competitor C

Each is independent.

2. Create Focused Tasks

Each subagent gets:

  • Specific scope: One clear task
  • All context needed: Don't make them hunt
  • Clear output: What should they return?
  • Constraints: What NOT to touch

3. Dispatch in Parallel

Using sessions_spawn for concurrent execution.

4. Review and Integrate

When agents return:

  • Read each result
  • Verify no conflicts
  • Integrate findings
  • Report summary

Integration with Other Skills

Use dispatch-multiple-agents WITHIN the workflow:

brainstorming → write-plan → dispatch-multiple-agents → verify-task
                                   ↓
                            doing-tasks (per subagent)

Example

Problem: Research 5 competitors

Dispatch:

  • Agent 1 → Competitor A
  • Agent 2 → Competitor B
  • Agent 3 → Competitor C
  • Agent 4 → Competitor D
  • Agent 5 → Competitor E

Result: Full analysis in minutes, not hours.

README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install dispatch-multiple-agents?

Run openclaw add @arisylafeta/clawlist:dispatch-multiple-agents in your terminal. This installs dispatch-multiple-agents into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/arisylafeta/clawlist. Review commits and README documentation before installing.