Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A coding workflow skill that structures development tasks into planning, implementation, verification, and testing phases. Stores user preferences locally in ~/code/memory.md when explicitly requested. Makes no network requests and takes no autonomous actions.
Enforces a structured workflow that prevents common mistakes like delivering untested code or building oversized PRs, without requiring any external setup.
When to use it
- Breaking a feature request into testable implementation steps
- Remembering coding preferences across sessions
- Verifying each function before moving to the next
- Keeping PRs small and independently reviewable
- Following a consistent plan-execute-verify cycle on any project
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Add a login form with validation'
- 1Check ~/code/memory.md for stored preferences
- 2Break request into steps: form markup, validation logic, error display, tests
- 3Guide implementation of each step in order
- 4After each function, suggest running the relevant tests
- 5Before delivery, suggest running the full test suite
A login form with validation, implemented in verifiable steps with all tests passing