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skill-engineer

Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement. Orchestrates Designer, Reviewer, and Tester subagents for quality-gated skill development. Use when user asks to "design skill", "review skill", "test skill", "audit skills", "refactor skill", or mentions "agent kit quality".

Why use this skill?

Master your agent skill lifecycle with OpenClaw Skill Engineer. Automate design, testing, and maintenance of your agent kit with multi-agent quality-gated workflows.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/chunhualiao/skill-engineer
Or

What This Skill Does

The Skill Engineer is the cornerstone of robust OpenClaw agent orchestration. It provides a structured, multi-agent framework to design, build, test, and maintain custom agent skills. By enforcing a strict separation of concerns, it ensures that your agent infrastructure is modular, reliable, and production-ready. The skill acts as an orchestrator, delegating responsibilities to specialized Designer, Reviewer, and Tester subagents to eliminate the 'builder bias' where authors often overlook flaws in their own logic.

It categorizes development into two distinct streams: Capability Uplift Skills (designed to extend model capabilities) and Encoded Preference Skills (designed to enforce organizational workflows). By identifying which category a skill falls into, it applies the appropriate lifecycle management, retirement risks, and testing protocols.

Installation

To install the Skill Engineer, ensure your OpenClaw environment is initialized and run the following command in your terminal:

clawhub install openclaw/skills/skills/chunhualiao/skill-engineer

Before you begin your first design session, you must confirm the availability of mandatory dependencies:

  1. deepwiki: Essential for querying current OpenClaw API documentation. Check with ls ~/.openclaw/skills/deepwiki/deepwiki.sh.
  2. Vector memory DB: Enable this in your openclaw.json configuration file by setting memory.enabled: true to allow semantic searching across your development history and documentation.

Use Cases

  • Prototyping New Agent Skills: Rapidly draft, review, and test a new workflow using the multi-agent design cycle.
  • Skill Auditing: Perform periodic quality audits on existing skills to determine if they are still necessary (Capability Uplift) or if they require process updates (Encoded Preference).
  • Maintenance & Refactoring: Update aging skills that have drifted from organizational requirements or technical API changes.
  • Quality Gate Enforcement: Ensure every new skill passes a rigorous Tester subagent examination before being deployed to your primary agent kit.

Example Prompts

  1. "I need to design a new skill for automated NDA review. Please act as the Skill Engineer and initiate the design phase, classifying it as an Encoded Preference skill."
  2. "Can you audit my current project skills? I suspect some of the older document-generation skills might be redundant now that our base model has improved."
  3. "Refactor the compliance-check skill. The legal department has updated the required clauses, so we need to adjust our process fidelity."

Tips & Limitations

  • Avoid Self-Review: Always allow the Reviewer and Tester subagents to operate independently. The most common point of failure is when the Designer attempts to skip the review phase.
  • Monitor Retirement: If you are building 'Capability Uplift' skills, set a reminder to periodically test against the raw base model. If the model can perform the task natively, it is time to retire the skill to reduce technical debt.
  • Deepwiki Reliance: The skill is only as good as your documentation. Ensure your deepwiki repo is kept up-to-date with your latest API changes for the best results.

Metadata

Stars3562
Views3
Updated2026-03-29
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-chunhualiao-skill-engineer": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#agent-development#workflow-automation#quality-assurance#lifecycle-management#orchestration
Safety Score: 4/5

Flags: file-read, file-write, code-execution