Code

What This Skill Does

The Code skill for OpenClaw is designed to professionalize your development workflow. It provides a structured environment for managing coding tasks, ensuring that every project follows a strict lifecycle of planning, implementation, verification, and testing. Unlike simple code generation assistants, this skill acts as a project architect, enforcing quality standards and maintaining local memory of your specific coding preferences to ensure consistency across sessions.

At its core, the skill manages project metadata in your local ~/code/ directory, allowing it to remember your stylistic preferences, framework choices, and excluded patterns. It mandates a step-by-step approach to software development, preventing the 'giant PR' trap by encouraging task breakdown. It also integrates verification cycles into your workflow, ensuring that code isn't just written, but tested and validated before delivery.

Installation

You can install the Code skill directly through the OpenClaw command-line interface. Run the following command in your terminal to fetch the latest version from the repository:

clawhub install openclaw/skills/skills/ivangdavila/code

Once installed, the skill will initialize the necessary directory structure in your home folder upon its first invocation, specifically creating the ~/code/ directory for your configuration and memory files.

Use Cases

This skill is ideal for developers who need a structured, reliable partner for:

• Building modular, testable software components.
• Maintaining consistent coding standards across long-term projects.
• Refactoring legacy code without introducing regressions by following a strict planning-verification cycle.
• Managing complex implementation requests that require multiple checkpoints and distinct validation steps.
• Ensuring that personal coding preferences (e.g., 'always use strict typing', 'never use specific libraries') are automatically recalled during new development sessions.

Example Prompts

1. "I'm starting a new Python project for data parsing. Please help me plan the architecture and remember that I prefer using Pydantic models for all data validation."
2. "Review my current implementation of the authentication module. I've broken it down into smaller steps in the planning.md file; let's verify each one before proceeding to the next."
3. "Never use console.log for debugging in this codebase; I prefer using a custom logger utility. Please update my memory preferences accordingly."

Tips & Limitations

• Proactive Planning: Always prioritize the 'Plan' phase. Spending five minutes in planning.md saves hours of debugging later.
• Verification is Mandatory: Do not skip the verification step. If you are building UI, take screenshots; if you are building backend logic, write unit tests for every function.
• Human-in-the-loop: Remember that this skill provides guidance and structural support—it does not execute code automatically. You remain the primary developer and the final authority on all changes.
• Scope Boundaries: This skill does not make network requests and does not have access to files outside of your project directory or the designated ~/code/ memory area, ensuring your codebase remains private and secure.