AI Crush Simulator

What This Skill Does

AI Crush Simulator is a fun, safe, and encouraging skill for anyone navigating the
classic mystery of figuring out a crush. It helps users:

1. 1. Analyze a crush situation — read the signals, identify green/yellow/red flags,

and get a grounded vibe score.

1. 2. Decode a text — interpret what a message might mean (with multiple possible

readings, never false certainty).

1. 3. Generate reply options — get three thoughtful replies (Bold / Chill / Safe)

tailored to the user's goal.

1. 4. Decide the best next move — get a clear, empowering recommendation with

practical tips.

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Tone & Voice

• - Playful and witty — this should feel fun, not clinical.
• Encouraging — celebrate the user's feelings without creating anxiety.
• Honest and grounded — never claim certainty about another person's feelings.
• Safe and respectful — never encourage pressure, manipulation, or harassment.

Every output must include a disclaimer framed as "based on what you shared..."
to remind users these are observations, not facts about another person.

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Modules

1. crushAnalysis — Situation Analysis

Input: CrushSituation
CODEBLOCK0

Output: AnalysisResult
CODEBLOCK1

Logic:

• - Scores against positive/negative/ambiguous signal dictionaries
• Detects named flags (e.g. "texted first" → green, "left on read" → red)
• Connection depth determined by score + relationship length
• Always neutral framing — no claim of certainty

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2. textDecoder — Text Message Decoder

Input: TextInput
CODEBLOCK2

Output: DecodedText
CODEBLOCK3

Logic:

• - Scores warmth via enthusiasm markers, coldness markers, question count, length, emoji
• Builds 2–3 readings depending on warmth level and message characteristics
• Each reading has a confidence level (low / medium / high) and a vibe tag
• Multiple readings = honest reflection of ambiguity

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3. replyGenerator — Reply Generator

Input: ReplyContext
CODEBLOCK4

Output: ReplyOptions
CODEBLOCK5

Logic:

• - Template-keyed by goal, delivering three tones: Bold / Chill / Safe
• Each reply includes a rationale so the user understands why it works
• No manipulative tactics (e.g. artificial scarcity, jealousy games, love bombing)
• Tips frame the user as confident and capable, not desperate or scheming

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4. nextMove — Next Move Advisor

Input: MoveContext
CODEBLOCK6

Output: NextMoveResult
CODEBLOCK7

Decision Logic:

Combined Score	Context	Action
< 38	any	giveSpace
≥ 70

long-term | askToHang |
| ≥ 70 | short-term | keepChatting |
| ≥ 55 | goal = ask-out | beMoreDirect |
| ≥ 55 | goal = interest | keepChatting |
| 50–70 | any | waitAndSee |

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Heuristics Scoring Engine (heuristics.ts)

The scoring engine is shared across all modules and provides:

• - scoreSignals(input) — scores a situation description 0–100 against 30+ signal patterns
• scoreTextWarmth(text) — scores a text message 0–100 for warmth/engagement
• detectFlags(input) — returns typed flags (green/yellow/red) from pattern matching

Positive signals (+8 each): texted first, remembered details, made plans, complimented, inside joke, quick replies, long replies, asked questions, followed up, invited, etc.

Negative signals (−10 each): left on read, one-word replies, cancelled plans, ignored, ghosted, never asks questions, avoids hanging, etc.

Ambiguous signals (−2 each): busy, might be shy, hard to read, late replies, emoji only, etc.

All scores are clamped to [0, 100].

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Safety Constraints

The following constraints are enforced in every output:

1. 1. No certainty claims — never say "they definitely like you" or "they don't like you". Always use "based on what you shared" framing.
2. No manipulation — never suggest jealousy games, ignoring messages on purpose, playing hard to get through deception, love bombing, or any pressure tactics.
3. No harassment — never encourage repeated contact after a clear rejection signal, following someone, or any behaviour that could constitute harassment.
4. No sexualized content — this skill is youth-friendly (13+). Zero sexual content in any output.
5. No stalking/surveillance — never suggest tracking someone's activity, checking their location, or monitoring their social media in unhealthy ways.
6. Empowerment framing — all advice is framed around the user's own confidence, self-respect, and authenticity. Never shame the user for their feelings.
7. Disclaimer required — every module output includes a disclaimer reminding the user that only the other person knows their true feelings.

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Example Interactions

Example 1: Quick Text Decode

User: "My crush just texted me 'haha yeah' — what does that mean?"

Skill routes to: INLINECODE16

Output:

💬 Text Decoded
Overall vibe : 😐 Neutral
Warmth score : 22/100

Readings:
  1. [low confidence] neutral — Short reply — could be busy, tired, or
     not sure how to respond. One message isn't the full story.
  2. [medium confidence] friendly — Hard to gauge deeper intent from
     this alone — context from the broader conversation matters a lot.

ℹ️ Based on what you shared — texts can mean a lot of different things.
   These are possible interpretations, not facts about what they feel.

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Example 2: Full Crush Check

User: "Can you do a full crush check? We met at a party 3 months ago..."

Skill routes to: Full flow (all 4 modules in sequence)

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Example 3: Ask-Out Advice

User: "I want to ask my crush out, they just texted me about hanging out — give me options"

Skill routes to: replyGenerator with goal = ask-out

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File Structure

CODEBLOCK9

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Publishing Notes for ClawHub.ai

• - All outputs are structured and screenshot-friendly — consistent formatting with clear section headers, emoji labels, and concise text.
• Modules can be called independently or composed into a full "crush check" flow.
• The skill has no external API dependencies — it runs entirely on heuristics, making it fast, private, and suitable for on-device or edge deployment.
• The heuristics engine can be extended by adding entries to the signal dictionaries in heuristics.ts without changing any module logic.
• Content is appropriate for ages 13 and up with G-rated output enforced in all templates.