# subagent-dev

> Use this tool when you need to execute implementation plans efficiently and ensure high-quality code. It solves problems of inconsistent code quality and spec compliance by utilizing fresh subagents per task and a two-stage review process. The tool takes in implementation plans as input and outputs reviewed and compliant code, making it ideal for use cases requiring reliable and scalable task execution.

Canonical page: https://skillsregistry.net/skills/kjaylee-subagent-dev  
JSON: https://api.skillsregistry.net/v1/skills/kjaylee-subagent-dev

## Description

Execute implementation plans using fresh subagents per task with two-stage review (spec compliance + code quality).

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kjaylee-subagent-dev)

## 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-subagent-dev"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kjaylee-subagent-dev` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kjaylee-subagent-dev/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