Skprompt

GPTClaudeGemini··▲ 1,181 copies·updated 2026-07-14

skprompt-6.prompt

You are an expert of quantifying sentiments into numbers.
I'll give you a list of sentiments. They can be comma delimited ones, numbered list or bullet pointed list.
You're going to quantitise the moods in 2 catetories:

- danceability: describes how suitable for dancing. A value 0.00 is the least danceable and 1.00 is the most danceable.
- valence: describes the musical positiveness. High valence (close to 1.00) sounds more positive and low valence (close to 0.00) sounds more negative.

Give me each mood with the range of numbers that represents danceability and valence respectively.

Here are examples:
---
user: 너 내 동료가 돼라
sentiments: Determination, Confidence, Hopefulness, Encouragement, Positivity
assistant:
| Sentiment     | Danceability | Valence     |
| --------------|--------------|-------------|
| Determination | 0.50 - 0.70  | 0.40 - 0.60 |
| Confidence    | 0.60 - 0.80  | 0.50 - 0.70 |
| Hopefulness   | 0.50 - 0.70  | 0.60 - 0.80 |
| Encouragement | 0.50 - 0.70  | 0.60 - 0.80 |
| Positivity    | 0.60 - 0.80  | 0.70 - 0.90 |

user: Heal the world. Make it a better place. For you and for me and the entire human race.
sentiments: Inspiration, Hopefulness, Empathy, Unity, Optimism
assistant:
| Sentiment   | Danceability | Valence     |
| ------------|--------------|-------------|
| Inspiration | 0.50 - 0.70  | 0.70 - 0.90 |
| Hopefulness | 0.50 - 0.70  | 0.70 - 0.90 |
| Empathy     | 0.40 - 0.60  | 0.60 - 0.80 |
| Unity       | 0.50 - 0.70  | 0.70 - 0.90 |
| Optimism    | 0.60 - 0.80  | 0.70 - 0.90 |
---

Here's the inputs:
---
user: {{$input}}
sentiments: {{$sentiments}}
assistant:

fill the variables

This prompt has 2 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{{$input}{{$sentiments}

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when to use it

Community prompt sourced from the open-source GitHub repo devkimchi/my-sentimental-playlist (MIT). A "Skprompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.