skill-finder

Match user goals to relevant Replit skills via dynamic catalog discovery.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/soq123/SE3354-Calo-fit --skill skill-finder-soq123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-finder
Source: https://github.com/soq123/SE3354-Calo-fit/tree/main/.local/secondary_skills/skill-finder
Command: npx skills add https://github.com/soq123/SE3354-Calo-fit --skill skill-finder-soq123

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps users discover and match the most relevant Replit skills from the installed catalog to their objective, enabling faster decision-making and run-ready guidance.

Core Features & Use Cases

  • Dynamic discovery: uses skillSearch(query) to scan installed skills and nearby directories for up-to-date options.
  • Ranked recommendations: analyzes user goals and returns 1–3 best-fit skills with clear rationales and prerequisites.
  • Catalog maintenance guidance: provides practices to refresh the catalog and onboard new skills quickly.
  • Real-world use: when building a dashboard, suggests data-visualization or database skills based on the user's objective.

Quick Start

Describe your objective and ask Skill Finder to return 1–3 recommended skills.

Frequently Asked Questions about skill-finder

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

FAQPage Schema
How do I find the best Replit skill for a specific project goal?

Finding the right Replit skill for software, design, or productivity workflows involves matching your objective against an installed catalog. The system uses dynamic discovery to scan directories and return 1–3 ranked recommendations with prerequisites and rationales.

How does dynamic skill discovery work on Replit?

Dynamic skill discovery works by using a skillSearch query to scan installed skills and nearby directories. It reads the SKILL.md frontmatter exposing the name and description to propose up-to-date, run-ready skill options for your objective.

Do I need a SKILL.md file to use skill search and recommendations?

Yes, using skill search requires each Skill Unit to expose a SKILL.md frontmatter with name and description. This file structure enables the dynamic discovery query to accurately scan the catalog and return ranked recommendations.

Can I get recommendations for data visualization and database tasks?

Yes, you can get recommendations for data visualization and database tasks. When building dashboards or similar projects, the system analyzes your objective and proposes suitable skills from the installed catalog to accelerate your workflow.

How many skill recommendations will I receive for a single objective?

You will receive 1–3 skill recommendations for a single objective. The system analyzes your goal and returns the best-fit options from the catalog, providing clear rationales and prerequisites for each proposed skill.

What is the best way to maintain a Replit skill catalog for discovery?

The best way to maintain a Replit skill catalog is to follow catalog maintenance guidance provided by the system. This includes practices to refresh the catalog and onboard new skills quickly, ensuring dynamic discovery returns accurate options.