burst

Generate multiple content variations across tone, structure, lens, and length.

10|1|Updated Jun 29, 2026
One-click install
npx skills add https://github.com/mishahanin/heading-os --skill burst-mishahanin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: burst
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/burst
Command: npx skills add https://github.com/mishahanin/heading-os --skill burst-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the creative bottleneck of being stuck on a single draft by forcing the generation of multiple, distinct variations of your content.

Core Features & Use Cases

  • Axis-Based Variation: Automatically generates N variants (2-5) by attacking different axes like tone, structure, lens, and length.
  • Convergence Pattern: Supports an iterative workflow where you pick a variant and refine it further, narrowing in on the ideal output faster.
  • Use Case: When drafting a high-stakes LinkedIn post or email, use this to see how the message lands when framed as a data-led declaration versus a contrarian provocation.

Quick Start

Type /burst 3 to generate three distinct variations of the last assistant-produced content turn.

Frequently Asked Questions about burst

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

FAQPage Schema
How do I generate multiple content variations to overcome creative blocks?

Content variation generation works by attacking different axes like tone, structure, lens, and length to produce 2-5 distinct drafts. This forces diverse outputs to break creative blocks and refine messaging without external dependencies.

What is the best way to explore different tones and structures when drafting a message?

The best way to explore different tones and structures is generating multiple variations of the same content artifact. By framing a message as a data-led declaration versus a contrarian provocation, you can evaluate impact before finalizing.

Can I generate content variations directly from conversational context without external plugins?

Yes, you can generate content variations directly from conversational context without external plugins. The process operates purely through LLM reasoning, requiring no external dependencies or setup to produce diverse drafts.

How do I iteratively refine generated content variants to find the ideal output?

To iteratively refine content variants, use a convergence pattern where you pick a preferred variant and refine it further. This narrows down messaging options, allowing you to converge on the ideal output faster than editing a single draft.

When should I avoid generating multiple variations for my writing?

You should avoid generating multiple variations for low-stakes or purely informational writing where tone and structure exploration is unnecessary. It is designed for high-stakes content or overcoming creative blocks, not for simple straightforward communication.