# multi-agent-parallel-build

> multi-agent-parallel-build — brandonwadepackard-cell-multi-agent-parallel-build. Use this tool when you need to accelerate UI page and API endpoint development by orchestrating multiple coding agents in parallel. It solves problems of slow development, limited coding capacity, and inefficient resource utilization by allowing multiple agents to work together seamlessly. The multi-agent-parallel-build tool takes in project requirements and specifications as input and outputs fully-built UI pages and API endpoints, ideal for use in large-scale software development projects with tight deadlines.

Canonical page: https://skillsregistry.net/skills/brandonwadepackard-cell-multi-agent-parallel-build  
JSON: https://api.skillsregistry.net/v1/skills/brandonwadepackard-cell-multi-agent-parallel-build

## Description

Orchestrate multiple coding agents (Claude Code, Codex, etc.) in parallel waves to build UI pages, API endpoints.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/brandonwadepackard-cell-multi-agent-parallel-build)

## 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": "brandonwadepackard-cell-multi-agent-parallel-build"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brandonwadepackard-cell-multi-agent-parallel-build` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brandonwadepackard-cell-multi-agent-parallel-build/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