# kj-parallel-agents

> Use this tool when you need to execute multiple independent tasks concurrently, speeding up overall processing time and increasing efficiency. It solves problems of sequential bottlenecks and underutilized resources by allowing simultaneous task execution. The tool takes in multiple tasks as inputs and outputs the results of each task, making it ideal for use cases requiring parallel processing.

Canonical page: https://skillsregistry.net/skills/kjaylee-kj-parallel-agents  
JSON: https://api.skillsregistry.net/v1/skills/kjaylee-kj-parallel-agents

## Description

Dispatch multiple subagents for independent tasks simultaneously.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kjaylee-kj-parallel-agents)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kjaylee-kj-parallel-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kjaylee-kj-parallel-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kjaylee-kj-parallel-agents/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt