dispatch-multiple-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently.
Best use case
dispatch-multiple-agents is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently.
Teams using dispatch-multiple-agents should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dispatch-multiple-agents/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dispatch-multiple-agents Compares
| Feature / Agent | dispatch-multiple-agents | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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