LaunchKit · 2026
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skill-engineer

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

0
550 downloads
by @chunhualiao

Setup & Installation

openclaw skills install @chunhualiao/skill-engineer

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install skill-engineer

Version History

v3.2.0Mar 4, 2026 - Version note by skill developer:

v3.2.0: Skill taxonomy (Capability Uplift vs Encoded Preference), mandatory dependencies (deepwiki + vector memory), new scripts (quality-score.py, validate-trigger.sh), Configuration section

What This Skill Does

Manages the full lifecycle of agent skills in OpenClaw systems. Three independent subagents handle design, review, and testing separately to prevent a designer from evaluating their own work. Supports iterative refinement loops with configurable quality gates before a skill is considered ready to ship.

Enforcing separate subagents for design and evaluation catches quality gaps that self-review reliably misses, a problem the skill's architecture was built to address after a real 70-minute pipeline stall incident.

When to use it

  • Designing a new skill for an OpenClaw agent kit from scratch
  • Running a quality audit across all skills in an agent kit
  • Testing whether a skill triggers correctly on sample prompts
  • Refactoring an existing skill after a process change or model update
  • Evaluating whether a capability-uplift skill has become redundant

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Design a skill for analyzing competitor websites

AGENT
  1. 1Gather requirements: target agent, inputs (competitor URLs, analysis criteria), outputs (comparison table, markdown report), and constraints
  2. 2Query DeepWiki to verify current OpenClaw API behavior before writing any skill content
  3. 3Spawn Designer subagent to generate SKILL.md, skill.yml, README.md, and tests/
  4. 4Spawn Reviewer subagent to score the artifacts against the 33-check quality rubric
  5. 5Spawn Tester subagent to run self-play validation and measure trigger accuracy
OUTPUT

Validated skill directory with all required artifacts and a quality scorecard in README.md, git-committed and ready for publishing

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

deepwiki skill installed from liaosvcaf/openclaw-skill-deepwikiclawhub CLI installed via npm (npm i -g clawhub) for publishing to ClawhHub registry