Harness Skill Generator guides you from an initial problem definition to a tested, stateful, multi-stage AI agent skill.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install harness-skill-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install harness-skill-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Harness Skill Generator is a structured development workflow for creating new AI agent skills based on the Harness methodology. It is designed for complex tasks involving multiple stages, branching decisions, quality assurance, human checkpoints, and state persistence.
The skill produces a complete skill package containing SKILL.md, references/, and templates/, while guiding the user through problem scanning, agent architecture, scaffolding, incremental content authoring, sample validation, full test runs, delivery confirmation, and project retrospectives. As part of Openclaw Skills, it helps teams turn repeatable human workflows into reliable, maintainable agent workflows rather than oversized prompts.
plan/problem-definition.md and plan/human-workflow.md.plan/agent-workflow.md.SKILL.md skeleton, references/ directory, and templates/ directory without prematurely filling in implementation details.SKILL.md, incomplete quality protocols, and delivery risks.test-run-report.md, and fix one issue at a time.project-summary.md; confirm completion with the user before documenting lessons and optimization opportunities.Use the generated skill name in place of <skill-name>:
mkdir -p <skill-name>/{references,templates}
Create the initial files:
touch <skill-name>/SKILL.md
mkdir -p <skill-name>/references <skill-name>/templates
Populate SKILL.md with frontmatter containing the skill name, description, and trigger phrases. Add the generated phase workflow, boundaries, checkpoints, quality protocol, and core rules. Then add one reference file per phase, plus optional files such as quality-checklist.md, style-contract.md, branch-routing.md, and repair-rules.md.
After testing and user approval, copy the complete directory to the shared agent skill location:
cp -R <skill-name> /Users/ii/.agents/skills/<skill-name>/
Update AGENTS.md with the skill entry when required, and record the creation event in MEMORY.md. This generator creates skills; it does not execute the newly created skill or modify and upgrade an existing skill.
| Path | Purpose |
|---|---|
SKILL.md |
Main skill contract, trigger description, boundaries, phase workflow, checkpoints, and non-negotiable rules |
references/ |
Detailed phase instructions, decision rules, quality criteria, routing logic, and repair guidance |
templates/ |
Reusable output structures and phase-specific document templates |
README.md |
Installation, triggering, usage guidance, and operational notes |
test-run-report.md |
Full workflow test results, defects, and one-at-a-time fixes |
project-summary.md |
Delivery assessment, interruptions, root-cause categories, and future optimization recommendations |
plan/problem-definition.md stores the problem statement and pain points.plan/human-workflow.md records the manually performed workflow with inputs, outputs, and failure risks.plan/solution-research.md compares mature market solutions, agent-native approaches, and simulated human interaction options.plan/agent-workflow.md defines phases, dependencies, branches, outputs, quality checks, checkpoints, and state files.Each reference should define: what the phase does, how to perform it, input and output formats, anti-patterns, and a three-to-five-item self-checklist. Quality controls may be inline self-review, SubAgent message-based review, SubAgent file-based review, or user acceptance, depending on risk.
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