skill-engineer

Coordinates design, review, and testing workflows for OpenClaw skill artifacts.

2|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/adelpro/openclaw-arsenals --skill skill-engineer-adelpro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-engineer
Source: https://github.com/adelpro/openclaw-arsenals/tree/main/02-skills/skill-engineer
Command: npx skills add https://github.com/adelpro/openclaw-arsenals --skill skill-engineer-adelpro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

  • Orchestrates Designer, Reviewer, and Tester subagents to guide end-to-end skill creation and validation.
  • Provides structured workflow for requirements gathering, design, review, and testing to ensure deploy-ready SKILL artifacts.
  • Supports rework cycles when quality gates are not met, with iteration limits and clear success criteria.

Quick Start

Spawn Designer, Reviewer, and Tester to iteratively design, review, and validate a new skill.

Frequently Asked Questions about skill-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent workflows for OpenClaw skill design and review?

You can coordinate multi-agent skill design by spawning Designer, Reviewer, and Tester subagents to iteratively refine requirements, validate artifacts, and enforce quality gates for OpenClaw skills.

What artifacts are required for deploying an OpenClaw agent skill?

Deploying an OpenClaw agent skill requires structured artifacts including SKILL.md, README.md, tests directories, and scripts, which are validated through automated quality gates during the review cycle.

How does iterative refinement work during skill testing and review?

Iterative refinement triggers rework cycles when quality gates fail, allowing Designer and Reviewer subagents to iterate on skill artifacts until success criteria are met or iteration limits are reached.

Can I enforce security guardrails and quality thresholds during skill development?

Yes, the skill development workflow enforces security guardrails and quality thresholds throughout the design, review, and testing phases to ensure deploy-ready OpenClaw agent artifacts.

What is the best way to structure end-to-end skill creation for OpenClaw agents?

The best way to structure skill creation is following a sequential workflow from requirements gathering through design, review, and testing, orchestrated across specialized subagents with clear success criteria.

Do I need specific dependencies to run multi-agent skill engineering workflows?

No external dependencies are required to run multi-agent skill engineering workflows, as the coordination of Designer, Reviewer, and Tester subagents operates natively within the OpenClaw environment.