hadi-planner

Transform feature requests into structured CSV backlogs with verification.

1|Updated Apr 9, 2026

Search Tags:#planning #scoping #verification #orchestration #backlog #csv

Ready to run

npx skills add https://github.com/hadi-technology/phased-workflow --skill hadi-planner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hadi-planner
Source: https://github.com/hadi-technology/phased-workflow/tree/main/skills/hadi-planner
Command: npx skills add https://github.com/hadi-technology/phased-workflow --skill hadi-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of "agent drift" and poor planning in AI-driven development by enforcing a rigorous, two-stage orchestration process that turns fuzzy feature requests into machine-verifiable CSV backlogs.

Core Features & Use Cases

Structured Backlog Generation: Automatically decomposes high-level requests into a 14-column CSV backlog with mandatory rigor checks.
Independent Verification: Implements a two-pass, fresh-eyes review system that ensures code-intent alignment before any implementation begins.
Use Case: Use this skill to plan a complex feature rollout, ensuring that every task has a verified pattern scan, blast radius analysis, and multi-layer validation before handing it off to the Hadi Builder for autonomous execution.

Quick Start

Invoke the hadi-planner skill with your feature description to begin the interactive brainstorming and planning process.

Frequently Asked Questions about hadi-planner

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

FAQPage Schema

How do I turn a high-level software feature request into a machine-verifiable CSV backlog?▼

To generate a machine-verifiable CSV backlog, decompose high-level feature requests using a multi-stage planning and review orchestration process. This transforms fuzzy requests into a structured 14-column CSV backlog with mandatory rigor checks before autonomous execution.

What is the best way to prevent agent drift in AI-driven software development?▼

To prevent agent drift in AI-driven development, enforce a rigorous two-stage orchestration process with independent verification. A two-pass, fresh-eyes review system ensures code-intent alignment and structural integrity before any implementation begins.

How do I perform blast radius analysis and scope decomposition for complex feature rollouts?▼

Perform blast radius analysis and scope decomposition by applying multi-layer validation during backlog generation. This ensures every task within a complex software development workflow undergoes verified pattern scans and rigorous scoping before execution.

Does automated planning support independent verification for codebase mapping tasks?▼

Automated planning supports independent verification for codebase mapping through a two-pass, fresh-eyes review system. This mechanism ensures code-intent alignment and structural integrity by rigorously checking tasks before autonomous execution begins.

When do I need a structured CSV backlog for autonomous software execution?▼

You need a structured CSV backlog for autonomous software execution when handling complex software development workflows requiring rigorous scope decomposition. It satisfies requirements for structural integrity, blast radius analysis, and multi-layer validation before handing off to autonomous builders.

What are the limitations of using automated scoping for complex software development workflows?▼

Automated scoping for complex software development workflows requires a multi-stage planning and review orchestration process. It is limited by the need for independent verification and codebase mapping, meaning fuzzy feature requests must pass multi-layer validation before autonomous execution.