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FRIKKern
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doey-create-task

Transform natural-language goals into structured Doey task packages with .task and .json files.

6|2|Updated Mar 15, 2026
Search Tags:#automation#planning#structure#task#natural-language#doey
One-click install
npx skills add https://github.com/FRIKKern/doey --skill doey-create-task
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: doey-create-task
Source: https://github.com/FRIKKern/doey/tree/main/.claude/skills/doey-create-task
Command: npx skills add https://github.com/FRIKKern/doey --skill doey-create-task

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform a natural-language goal into a structured Doey task package (.task and .json), enabling immediate task creation without manual formatting.

Core Features & Use Cases

  • Converts goals into a standardized task package with essential fields (id, title, type, intent, hypotheses, constraints, deliverables, dispatch plan)
  • Validates and outputs deterministic artifacts ready for Doey ingestion
  • Suitable for product planning, software development, and lightweight project initiation

Quick Start

Provide a natural-language goal and this skill will generate a structured task package (.task and .json) ready for Doey.

Frequently Asked Questions about doey-create-task

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

FAQPage Schema
How do I convert natural-language goals into structured task packages?▼

To convert natural-language goals into structured task packages, provide your text input to generate validated .task and .json artifacts with fields like id, title, intent, and deliverables ready for immediate ingestion.

What is a structured task package for product planning and software development?▼

A structured task package is a validated payload containing fields such as id, type, hypotheses, constraints, and a dispatch plan, ensuring consistent task creation for product planning and software development workflows.

Can I use natural-language input to automate single-action or multi-step task creation?▼

Yes, you can use natural-language input to automate task creation for both single actions and multi-step efforts, transforming goals into deterministic artifacts without requiring manual formatting.

What's the best way to generate validated task payloads for automated execution?▼

The best way to generate validated task payloads for automated execution is transforming natural-language goals into standardized .task and .json files containing a complete dispatch plan and deliverables.

Do I need manual formatting to output deterministic artifacts for task automation?▼

No, you do not need manual formatting to output deterministic artifacts for task automation, because natural-language goals are automatically validated and converted into structured task packages.

When do I need to generate a dispatch plan and deliverables for lightweight project initiation?▼

You need to generate a dispatch plan and deliverables for lightweight project initiation when translating multi-step efforts or product planning goals into structured .task and .json formats for execution.

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