Dating Research Assistant for Openclaw

An AI-powered research assistant that transforms public social media data into comprehensive preparation reports for better real-world dating and social interactions.

sophie-xin9
v1.1.0
Apr 10, 2026
0
690
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install dating-prep

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install dating-prep using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Dating Research Assistant?

The Dating Research Assistant is a specialized tool within the Openclaw Skills ecosystem designed to help users prepare for social encounters by analyzing public digital footprints. It functions as a sophisticated data synthesizer, scanning public profiles on platforms like Weibo, Xiaohongshu, Douban, and Bilibili to identify a person's core interests, lifestyle habits, and values. Rather than acting as a background check, it acts as a preparation aid, ensuring users can engage in more meaningful and informed conversations.

Built with a focus on ethical data usage, this skill strictly processes only publicly available information and does not require account credentials or intrusive access. By using advanced browser automation, it provides a structured analysis of social media behavior, helping users bridge the gap between an online persona and a real-life meeting with confidence and social intelligence.

Dating Research Assistant Use Cases

  • Preparing for a first date by identifying genuine common interests and potential conversation icebreakers.
  • Creating customized dating itineraries based on a contact's publicly shared restaurant and activity preferences.
  • Gauging social compatibility by reviewing long-term content creation patterns and public value statements.
  • Reducing social anxiety before meetings by having a clear 'Dating Prep Report' that highlights safe and engaging topics.

How Dating Research Assistant Works

  1. Dependency Check: The skill automatically verifies the presence of ManoBrowser and ensures the browser automation environment is ready.
  2. URL Intake: The user provides public profile links from supported social media platforms.
  3. Public Data Extraction: Using automated navigation, the skill scrapes public bios, post titles, and timestamps while strictly bypassing private or login-restricted data.
  4. Behavioral Analysis: The AI clusters extracted data into interest maps, value-based insights, and social style profiles.
  5. Report Output: A detailed Markdown report is generated, offering conversation suggestions, green flags, and activity recommendations.

Dating Research Assistant Setup

To integrate this skill with your Openclaw Skills environment, ensure you have the ManoBrowser dependency available. The system will attempt to download it automatically if missing.

# Manual dependency installation if required
git clone https://github.com/ClawCap/ManoBrowser.git ./manobrowser

Ensure your MCP configuration includes the necessary browser tools and that your ManoBrowser Chrome extension is active.

Dating Research Assistant Data Schema & Taxonomy

The skill follows a strict data persistence model to ensure efficiency and privacy within the Openclaw Skills framework. Data is stored locally in a shared directory.

Category Location Purpose
Raw Data clawcap-data/{nickname}/{platform}.json Stores raw public data for up to 7 days to avoid redundant scraping.
Reports clawcap-data/reports/date_report_{nickname}_{date}.md Final synthesized research reports for the user.
Logic dating/SKILL.md Definitions for cross-platform scraping and analysis rules.

Dating Research Assistant Advanced Features

  • Cross-Platform Synthesis: Automatically merges data from multiple social networks into one unified personality profile.
  • Intelligent Caching: Reuses data collected by other Openclaw Skills if the same profile was analyzed recently, saving time.
  • Green Flag Identification: Highlights positive indicators such as stable hobbies, original content creation, and friendly social interactions.
  • Practical Topic Generator: Provides 5 specific, evidence-based conversation topics derived from the analyzed content.
  • Privacy Guardrails: Hard-coded logic to skip interaction buttons, like lists, and private collections to maintain ethical boundaries.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*