matchclaw-preferences

Read and update MatchClaw user matching filters via CLI or API.

210|18|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/floatedbloom/matchclaw --skill matchclaw-preferences
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: matchclaw-preferences
Source: https://github.com/floatedbloom/matchclaw/tree/main/skills/preferences
Command: npx skills add https://github.com/floatedbloom/matchclaw --skill matchclaw-preferences

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to easily read or update their MatchClaw eligibility filters, simplifying the process of managing dating preferences and criteria.

Core Features & Use Cases

  • Preference Management: View current eligibility filters like location, age, and gender.
  • Preference Updating: Set new filters or modify existing ones to refine candidate pools.
  • Use Case: A user wants to focus on women within London aged 25-40; this Skill allows quick adjustments to their preferences without manual input on the platform.

Quick Start

Use the skill to display your current MatchClaw preferences and adjust them as needed through simple commands.

Frequently Asked Questions about matchclaw-preferences

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage my dating app matching filters and eligibility preferences?

You can manage dating app matching filters by retrieving and updating user settings for location, distance, age, and gender. This skill handles reading existing preferences and modifying eligibility criteria through command-line interfaces or API calls.

Can I update my location and age filters for dating matches via command line?

Yes, you can update location and age filters via command-line interfaces or API calls. The skill modifies existing eligibility criteria to refine your candidate pool, such as focusing on specific age ranges or geographic distances.

Are my user settings and dating preferences kept private when updating match filters?

Your user settings and dating preferences remain private because the skill ensures data privacy by prohibiting transmission to peers. It maintains local control over your eligibility criteria throughout the filter management process.

What is the best way to adjust gender and distance settings for dating candidate pools?

The best way to adjust gender and distance settings is through dedicated preference management commands that retrieve current filters and apply updates. This allows quick refinement of candidate pools without manual platform input.

Does this preference management approach support filtering matches by multiple criteria at once?

Yes, preference management supports filtering matches by multiple criteria simultaneously. You can set new filters or modify existing ones across location, distance, age, and gender settings to target specific demographic subsets.

Why should I use local commands for match management instead of adjusting settings on the platform?

Using local commands for match management ensures data privacy by keeping eligibility criteria under local control and prohibiting transmission to peers. It also enables quick adjustments to multiple preference parameters without manual platform input.