deep-dive-task

Coordinate multi-AI consultations to produce implementation-ready TASK documents.

Updated Apr 5, 2026

Search Tags:#automation #planning #implementation #team-collaboration #multi-ai #self-review #task-document

Ready to run

npx skills add https://github.com/TeamSPWK/nova-algorithm --skill deep-dive-task

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-dive-task
Source: https://github.com/TeamSPWK/nova-algorithm/tree/main/skills/deep-dive-task
Command: npx skills add https://github.com/TeamSPWK/nova-algorithm --skill deep-dive-task

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates multi-AI consultations to transform user problems into implementation-ready TASK documents, aligning problem framing with executable plans and team-based execution.

Core Features & Use Cases

Parallel AI consultation and self-review to accelerate TASK drafting
Phase-driven workflow from problem structuring to implementation-ready documents
Decision logs and acceptance criteria to ensure actionable outcomes for engineers

Quick Start

Create an implementation-ready TASK document by initiating Phase 1, gathering inputs, and preparing the initial TASK file.

Frequently Asked Questions about deep-dive-task

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

FAQPage Schema

How do I create an implementation-ready TASK document from a raw problem statement?▼

To create an implementation-ready TASK document, you structure the problem, run parallel AI consultations, perform self-reviews, and generate acceptance criteria. This workflow aligns problem framing with executable plans for team-based execution.

What is multi-AI consultation for task drafting?▼

Multi-AI consultation for task drafting coordinates parallel AI inputs to transform user problems into executable plans. It accelerates TASK development by integrating multiple perspectives before finalizing the document.

How do I draft a TASK document with explicit acceptance criteria for engineers?▼

Drafting a TASK document with acceptance criteria involves using a phase-driven workflow that gathers inputs and applies decision logs. This ensures the final output provides actionable outcomes for engineering teams.

Can I use automated task planning for team collaboration and execution?▼

Automated task planning supports team collaboration by aligning problem framing with team-based execution. It produces structured TASK documents containing decision logs and explicit acceptance criteria for immediate implementation.

Does multi-AI task drafting require specific dependencies or components?▼

Multi-AI task drafting requires no external dependencies or components. It operates independently through integrated prompts and phase workflows to produce ready-to-execute TASK documents.

What are the limitations of using phase-driven workflows for task document generation?▼

Phase-driven workflows for task document generation require well-defined problem structuring upfront. Limitations include reliance on effective parallel AI consultation and adequate initial inputs to produce actionable implementation-ready outcomes.