BeCreative

Generate diverse creative outputs via verbalized sampling with extended thinking.

1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/davdunc/pai-framework --skill becreative-davdunc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: BeCreative
Source: https://github.com/davdunc/pai-framework/tree/main/skills/BeCreative
Command: npx skills add https://github.com/davdunc/pai-framework --skill becreative-davdunc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

BeCreative helps you overcome generic, cookie-cutter outputs by producing genuinely diverse candidate ideas internally and then selecting the strongest response for the user.

Core Features & Use Cases

  • Verbalized Sampling + extended thinking to drive diversity (including a 5-candidate internal generation approach) while preserving quality.
  • Multiple creativity workflows that route requests to the best mode for the task, including idea generation, maximum novelty, domain-specific framing, technical creativity, tree-of-thought branching, and synthetic corpus expansion for evals/training.
  • SyntheticDataExpansion that can expand a small seed set into a larger JSONL corpus stored for downstream evaluation and prompt-injection testing.
  • Use case: Generate a breakthrough marketing concept for a product, then also expand a small set of labeled examples into a larger dataset for consistent evaluation.

Quick Start

Ask for an unconventional angle by saying: "Be creative and generate a novel story premise about a detective bear in noir, avoiding common bear-story clichés."

Frequently Asked Questions about BeCreative

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

FAQPage Schema
How do I generate diverse ideas instead of generic AI outputs?

To generate diverse ideas and avoid generic outputs, the Skill uses verbalized sampling with extended thinking to internally produce multiple diverse candidates and then selects the strongest response for you.

Can I expand a small seed dataset into a larger JSONL corpus for evaluation?

Yes, you can expand a small seed dataset into a larger JSONL corpus for evaluation using the SyntheticDataExpansion workflow, which stores the expanded data downstream for prompt-injection testing and training.

What is verbalized sampling and how does it help with brainstorming?

Verbalized sampling is a technique that targets low-probability sampling options internally to drive diversity during brainstorming, ensuring the final selected output comes from a genuinely novel set of candidate ideas.

Does this approach work for generating technical creativity and framing angles?

Yes, this approach works for technical creativity and framing angles by routing requests through multiple workflows, including domain-specific framing, tree-of-thought branching, and maximum novelty generation.

What's the best way to prompt for an unconventional marketing concept?

The best way to prompt for an unconventional marketing concept is to explicitly request a novel angle while specifying constraints to avoid common clichés, allowing the internal routing to select the maximum novelty workflow.