coding-loop-planner

Coordinate multi-phase software development planning with research checkpoints and verification strategy discovery.

6|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill coding-loop-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-loop-planner
Source: https://github.com/luispabon/ai-bits-and-pieces/tree/main/skills/coding_loop/planner
Command: npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill coding-loop-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of disorganized, poorly scoped, or unverified coding tasks by enforcing a rigorous, multi-stage planning process that ensures every feature is well-understood before implementation begins.

Core Features & Use Cases

  • Mandatory Research Checkpoint: Prevents implementation errors by forcing a decision on whether external research is needed before any code is planned.
  • Verification Strategy Discovery: Automatically identifies and records the repository's testing and linting commands to ensure all code meets project standards.
  • Traceable Artifacts: Creates a standardized project planning directory containing an overview, research findings, and a detailed execution plan.

Quick Start

Invoke the coding-loop-planner skill to begin planning your new feature by providing a high-level description of the task.

Frequently Asked Questions about coding-loop-planner

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

FAQPage Schema
How do I plan a coding project before starting implementation?

To plan a coding project, you need a structured workflow that integrates research checkpoints and verification strategy discovery. This process creates standardized planning artifacts, ensuring features are fully scoped and traceable before actual implementation begins.

What is a verification strategy in software project planning?

A verification strategy in software project planning involves identifying and recording the repository's specific testing and linting commands. This ensures all planned code meets project standards and can be properly validated during implementation.

How do I structure research checkpoints for software engineering tasks?

Structuring research checkpoints requires forcing a mandatory decision on whether external research is needed before any code is planned. This prevents implementation errors by ensuring all technical unknowns are resolved early in the project lifecycle.

Can I use structured project planning for any software development workflow?

Structured project planning is designed for software development workflows of any scale requiring traceable artifacts. It enforces strict artifact creation and branching rules, making it suitable for projects that demand high-quality, execution-ready planning bundles.

What artifacts are needed for traceable software feature planning?

Traceable software feature planning requires a standardized project planning directory containing an overview, research findings, and a detailed execution plan. These artifacts ensure the entire implementation process remains traceable and execution-ready.

Why does my coding task lack traceable implementation steps?

Coding tasks lack traceable implementation steps when missing a rigorous, multi-stage planning process that creates standardized project directories. Without enforced artifact creation and branching rules, features remain poorly scoped and unverified before development.