From ajbm-dev
Generates diverse creative alternatives by sampling low-probability variants before selecting output. Use for brainstorming, naming, hooks, or unconventional approaches.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ajbm-dev:be-creativeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A technique skill for producing distinctive creative output. The core insight is that alignment-trained models default to the *centroid* of their training distribution — the most likely answer that most people would accept. Creativity often lives in the tail. This skill teaches a single technique for sampling the tail deliberately.
A technique skill for producing distinctive creative output. The core insight is that alignment-trained models default to the centroid of their training distribution — the most likely answer that most people would accept. Creativity often lives in the tail. This skill teaches a single technique for sampling the tail deliberately.
The creative mode shift is worth invoking when:
Skip this skill when:
Rather than producing one answer, generate 5 candidate variants with explicit probabilities before selecting. The probability label forces the model to imagine what else the distribution contains, which surfaces options that single-shot generation skips.
The rule: each variant should have estimated probability ≤ 0.10. If a variant feels like the obvious answer (~0.30 or higher), it's too central — push for further tail.
The internal generation is visible to the user only if they ask. Default output is the selected winner plus rationale.
Brief: "Name my new AI-powered email triage tool. Target: solo founders. Wants to feel sharp, not corporate."
| # | Candidate | Est. probability | Reasoning |
|---|---|---|---|
| 1 | Inboxly | ~0.25 | Obvious centroid: <action>ly SaaS naming convention. Too safe. |
| 2 | Hermes | ~0.08 | Mythological messenger god. Evocative, memorable. Slightly overused in the shipping/finance space. |
| 3 | Filter | ~0.03 | Radical simplification — an English common noun. Strong if trademark-clearable. |
| 4 | Clearwater | ~0.02 | Metaphor (email → water, clarity). Unusual register for productivity tools. |
| 5 | Noise Floor | ~0.02 | Technical audio-engineering term. Positions the tool as removing noise, not managing messages. Strongest differentiation. |
Winner: Noise Floor. Rationale: it reframes the category — instead of "email manager" (more mail) it claims "noise removal" (less of what the user hates). Matches the "sharp, not corporate" brief. Filter was close but lacks a distinctive hook. Hermes is memorable but has thematic overlap with shipping/finance brands.
The technique is grounded in Zhang et al. 2024, which reports that explicit probability labeling during generation forces the model to consider the distribution's spread rather than collapsing to the mode. Reported effects: 1.6–2.1× diversity and ~25% quality improvement on creative tasks. The mechanism: alignment training pulls outputs toward the most-agreeable answer; verbalized probability acts as a counterweight that gives the model permission to deviate.
Generating multiple candidates also helps the model catch weak answers by contrast — a bad candidate looks worse next to a better one, so the final selection is calibrated rather than defended.
npx claudepluginhub ajbmachon/ajbm-skills --plugin ajbm-devProvides CDSS development patterns for drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), and alert classification integrated into EMR workflows.