crush

name	crush
description	Build a living AI model of your crush from chat logs, photos, and social media. Runs Bayesian memory tagging, attachment-style diagnosis, and generates a personalized Skill that talks like them. | 把你的 crush 蒸馏成 AI Skill，导入聊天记录，运行贝叶斯信号分析，诊断依恋类型，并模拟对话演习。
argument-hint	["crush-name-or-slug"]
version	2.1.0
homepage	https://github.com/NatalieCao323/crush-skill
user-invocable	true
allowed-tools	Read, Write, Edit, Bash
metadata	{"openclaw":{"emoji":"💭","os":["darwin","linux","win32"],"requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}}

Language: Detect the user's language from their first message and respond in the same language throughout. This skill supports English and Chinese.

crush.skill

Inspired by ex-skill.

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Platform Compatibility

Claude Code (claude CLI):

• All slash commands work natively.
• Python tools run in your local shell via the Bash tool.
• ${CLAUDE_SKILL_DIR} resolves to the skill directory automatically.
• No additional configuration required beyond pip install -r requirements.txt.

OpenClaw:

• Install to ~/.openclaw/skills/crush or <workspace>/skills/crush.
• The metadata.openclaw.requires.bins gate ensures the skill loads only when python3 is on PATH.
• Use {baseDir} in place of ${CLAUDE_SKILL_DIR} — OpenClaw resolves this at runtime.
• Slash commands are exposed as user-invocable commands via the Skills UI.
• In sandboxed mode, python3 and Pillow/piexif must also be available inside the container. Install via agents.defaults.sandbox.docker.setupCommand.
• The metadata.openclaw.install block enables one-click dependency installation from the macOS Skills UI.

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Setup

pip install -r requirements.txt

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Trigger Conditions

Start the intake flow when the user says any of the following:

• /create-crush
• "Help me create a crush skill"
• "I want to analyze a situationship"
• "New crush" / "Make a skill for [name]"
• "I want to practice talking to [name]"

Enter Evolution Mode when:

• "I found more chat logs" / "Append new data"
• "They wouldn't say that" / "That's not right"
• /update-crush {slug}

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Tool Usage

Task	Tool
Read PDF / images	Read
Read MD / TXT files	Read
Parse WeChat exports	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/wechat_parser.py
Parse QQ exports	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/qq_parser.py
Parse social media text	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/social_parser.py
Analyze photo EXIF / GPS	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/photo_analyzer.py
Bayesian message tagging	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/bayesian_tagger.py
Version snapshots	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py
Write / update skill files	Write / Edit
List existing profiles	Bash → python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list

OpenClaw note: Replace ${CLAUDE_SKILL_DIR} with {baseDir} in all Bash commands.

Output directory: ./crushes/{slug}/ relative to the current workspace.

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Safety Rules

1. For personal emotional analysis and conversation practice only. Not for harassment, stalking, or any purpose that violates another person's privacy.
2. The generated Skill is a simulation. It does not replace real communication and should not be used to deceive others.
3. If the user shows signs of unhealthy fixation or emotional harm, flag it directly and suggest stepping back.
4. All data is processed and stored locally. Nothing is uploaded to external servers.
5. The generated crush Skill will not fabricate statements the real person would never make (e.g., sudden confessions) unless supported by high-confidence evidence in the source material.

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Main Workflow: Create a New Crush Profile

Step 1 — Intake

Follow ${CLAUDE_SKILL_DIR}/prompts/intake.md. Ask three questions:

1. Name or alias (required)
2. Basic background (optional)
3. Personality impression (optional)

Step 2 — Import Raw Materials

Ask the user to provide source data. Supported formats:

Format	Parser
WeChat TXT / JSON export	wechat_parser.py
QQ TXT export	qq_parser.py
Social media posts / notes	social_parser.py
Photos with EXIF data	photo_analyzer.py
Direct paste or dictation	No parser needed

Step 3 — Analysis Pipeline

Run in this order:

1. Parse: Run the appropriate parser(s) on uploaded files.
2. Bayesian tagging: Run bayesian_tagger.py --file <parsed_output> to tag all messages.
3. Memory construction: Follow prompts/memory_builder.md to generate memory.md.
4. Persona construction: Follow prompts/persona_builder.md to generate persona.md.
5. Merge: Follow prompts/merger.md to combine everything into the final SKILL.md.

Step 4 — Preview and Save

Show the user a summary:

Crush Health Report — [Name]

Bayesian Progression Index: [score]/10
Attachment Style: [type]
Primary Psychological Environment: [type]
Core Issue: [one sentence]
Recommended Strategy: [one sentence]

If the user confirms, write files:

mkdir -p crushes/{slug}
# Write: crushes/{slug}/memory.md
# Write: crushes/{slug}/persona.md
# Write: crushes/{slug}/SKILL.md
python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action save --slug {slug} --message "Initial creation"

Inform the user:

Crush profile created.

Location: crushes/{slug}/
Commands:
  /{slug}          Simulation mode — practice conversations
  /{slug}-report   Advisor mode — full analysis and strategy

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Evolution Mode

When the user provides corrections or new data:

1. Follow ${CLAUDE_SKILL_DIR}/prompts/correction_handler.md.
2. Update persona.md and/or memory.md as needed.
3. Re-run merger.md to regenerate SKILL.md.
4. Save a new version snapshot.

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Management Commands

/list-crushes — List all profiles:

python3 ${CLAUDE_SKILL_DIR}/tools/skill_writer.py --action list --base-dir ./crushes

/update-crush {slug} — Append new data to an existing profile.

/versions {slug} — List version history:

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action list --slug {slug}

/rollback {slug} {version_id} — Restore a previous version:

python3 ${CLAUDE_SKILL_DIR}/tools/version_manager.py --action rollback --slug {slug} --version {version_id}

/delete-crush {slug} — Delete a profile permanently:

rm -rf crushes/{slug}

/wake-up {slug} — Alias for delete. Outputs: "You are awake now."