Creative Diversification — Development skill for Claude Code
Claude Code skill implementing Recursive Diversification (RD) from King et al.
How to install Creative Diversification
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open nraford7/creative-diversification and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Creative Diversification does
Claude Code skill implementing Recursive Diversification (RD) from King et al. (2026) Harvard — break LLMs out of modal outputs and access the long tail of knowledge distributions
Alternatives in Development
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- Dive — Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting functi 1.8k ★
README
Creative Diversification
A Claude Code skill that breaks LLMs out of modal outputs using three escalating techniques — Verbalized Sampling, Recursive Diversification, and a stacked combination of both. It always asks how weird you want to get before generating, and offers escalation at every round.
When you ask an LLM for "10 ideas," you get 10 versions of the same idea. The model knows thousands of valid alternatives — standard decoding just can't reach them. This skill fixes that, with a dial.
The Three Modes
The skill opens every session by asking:
How weird do you want to get?
CREATIVE — long-tail but grounded. Usable, refined, still in-vocabulary.
WEIRD — domain-primed. Textured, unexpected, specific gravity.
FERAL — maximum. Primes + tails + probability dial stacked.
After presenting results, it always offers: *more at this level · go weirder · dial back · go deeper on #N · hybrid · constrain to [domain] · done*. No flags to remember — the loop is the skill.
Mode 1: CREATIVE — Verbalized Sampling
Based on Zhang et al. (2025). Asks the model to verbalize a probability distribution over candidate responses, then thresholds to the tail. The probability threshold is a tunable diversity dial (0.10 → 0.001). Produces long-tail ideas that remain in-vocabulary. Fast, zero-overhead, Pareto-optimal on quality/diversity.
Mode 2: WEIRD — Recursive Diversification
Based on Luo, King et al. (2026). Prepends a random domain lens (*"Through the lens of [DOMAIN]:"*) and injects a random 3-letter stem constraint. Redirects generation toward entirely different knowledge regions. Produces domain-textured results with specific gravity borrowed from crafts, ecology, disciplines.
Mode 3: FERAL — VS + RD Stacked
Uses RD's prime+stem to force domain travel, then applies VS's probability threshold within that primed space. The densest long-tail coverage of any method — more grounded than VS alone, more tunable than RD alone.
The Proble
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