# skill-engineer

> skill-engineer — chunhualiao-skill-engineer. Use this tool when you need to design, test, and refine AI agent skills for OpenClaw systems, solving problems related to multi-agent interactions and iterative improvement. It takes in design requirements and system specifications as inputs and outputs optimized agent skills, enabling efficient and effective agent development. Ideal for use cases requiring collaborative agent refinement and testing in complex systems.

Canonical page: https://skillsregistry.net/skills/chunhualiao-skill-engineer  
JSON: https://api.skillsregistry.net/v1/skills/chunhualiao-skill-engineer

## Description

Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/chunhualiao-skill-engineer)

## 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": "chunhualiao-skill-engineer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chunhualiao-skill-engineer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chunhualiao-skill-engineer/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