coding

Automate test-first coding workflows with incremental edits and validation.

7|1|Updated Jan 25, 2026

Search Tags:#workflow #testing #debugging #refactoring #coding #best-practices #dev

Ready to run

npx skills add https://github.com/daidong/PiPilot --skill coding-daidong

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coding
Source: https://github.com/daidong/PiPilot/tree/main/lib/skills/builtin/coding
Command: npx skills add https://github.com/daidong/PiPilot --skill coding-daidong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the code creation lifecycle by enforcing small, verifiable changes and preventing large, untested rewrites.

Core Features & Use Cases

Test-first Development: Write tests before coding to drive design and catch regressions early.
Incremental Changes: Enforce 300-line generation limits and targeted edits to reduce risk.
Edit-over-Rewrite: Prefer precise edits over wholesale rewrites to preserve context.
Rapid Validation: Loop feedback through quick validation to ensure correctness.

Quick Start

Begin by selecting a small coding task, write a focused test first, implement the minimal change, and verify the outcome before continuing.

Frequently Asked Questions about coding

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

FAQPage Schema

How do I enforce a test-first coding workflow for feature development?▼

Test-first coding workflow is enforced by writing focused tests before implementation, driving design and catching regressions early. You select a small task, write the test, implement the minimal change, and verify the outcome before continuing.

What is the best way to prevent large, untested rewrites during refactoring?▼

Preventing large, untested rewrites during refactoring is best achieved by enforcing edit-over-rewrite principles and incremental changes. This approach prefers precise edits over wholesale rewrites to preserve context and reduce risk.

How do I implement incremental verification for debugging across large codebases?▼

Incremental verification for debugging is implemented by looping rapid feedback through quick validation. This ensures correctness by enforcing 300-line generation limits and targeted edits across small to large codebases.

Does disciplined coding workflow work for both small and large codebases?▼

Disciplined coding workflow works effectively for both small and large codebases. It applies feature development, bug fixes, tests, and refactors by enforcing small, verifiable changes and error-feedback loops regardless of project scale.

Why does enforcing a 300-line generation limit improve software reliability?▼

Enforcing a 300-line generation limit improves software reliability by reducing the risk associated with large code updates. It enforces incremental changes, ensuring each piece of code is small, verifiable, and easy to validate through rapid feedback loops.