skeleton-of-thought

Generate long-form content via skeleton planning and parallel expansion.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/kinnerkarmanish/mak --skill skeleton-of-thought-kinnerkarmanish
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skeleton-of-thought
Source: https://github.com/kinnerkarmanish/mak/tree/main/library/skills/ai-patterns/skeleton-of-thought
Command: npx skills add https://github.com/kinnerkarmanish/mak --skill skeleton-of-thought-kinnerkarmanish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Skeleton-first parallel generation accelerates complex content creation by breaking work into a planning skeleton and parallel expansions, reducing turnaround times for long-form outputs.

Core Features & Use Cases

  • Skeleton generation: creates a concise outline of the answer.
  • Parallel expansion: expands outline items concurrently to save time.
  • Assembly: combines expanded points into a coherent final response.
  • Use cases: long-form explanations, tutorials, multi-step guides, and complex reasoning tasks.

Quick Start

Provide a topic or question to initiate the skeleton-first generation workflow.

Frequently Asked Questions about skeleton-of-thought

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

FAQPage Schema
What is skeleton-first parallel generation for long-form content?

Skeleton-first parallel generation is a workflow that accelerates content creation by generating a concise outline and then expanding its points concurrently. This approach reduces turnaround times for long-form outputs like tutorials and multi-step reasoning tasks.

How do I speed up long-form explanations and tutorials using parallel AI generation?

You can speed up long-form explanations by using a skeleton-first workflow that creates an outline, expands outline items concurrently in parallel, and assembles the expanded points into a coherent final response.

Can I use skeleton-first parallelism for multi-step reasoning tasks?

Yes, skeleton-first parallelism suits multi-step reasoning tasks by first generating a planning skeleton and then concurrently expanding the reasoning steps. It is designed to speed up complex outputs requiring fast turnaround.

What is the best way to configure prompts for parallel content expansion?

The best way to configure prompts for parallel content expansion is to use the workflow's configurable prompts to define the skeleton creation and concurrent expansion phases. This automates the assembly of expanded points into a final response.

Does this parallel generation workflow require any external dependencies?

No, this parallel generation workflow does not require any external dependencies to operate. You can initiate the skeleton-first generation workflow simply by providing a topic or question.