core-auto-detect

Scan root-level files to detect project environments and recommend relevant skills.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/baphled/dotopencode --skill core-auto-detect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: core-auto-detect
Source: https://github.com/baphled/dotopencode/tree/main/skills/core-auto-detect
Command: npx skills add https://github.com/baphled/dotopencode --skill core-auto-detect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of identifying the current development environment and recommending relevant skills, eliminating the need for manual configuration and ensuring the right tools are always available.

Core Features & Use Cases

  • Environment Detection: Scans the root directory for specific files (e.g., go.mod, package.json, Cargo.toml) to identify project types like Go, Node.js, Python, Rust, or Nix.
  • Skill Recommendation: Based on detected project types, it suggests a curated list of essential skills (e.g., language-specific skills, testing frameworks, clean code practices).
  • Use Case: When you open a new project, this skill automatically loads the golang, ginkgo-gomega, and clean-code skills if it detects a go.mod file, streamlining your setup.

Quick Start

Automatically detect the current project environment and load appropriate skills.

Frequently Asked Questions about core-auto-detect

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

FAQPage Schema
How do I auto-detect a project environment and load relevant skills?

Yes, environment detection works offline by scanning root-level files like Cargo.toml and go.mod. It uses non-invasive, composable detection rules to identify your project type and recommend skills without requiring external network connectivity.

What project types does automatic environment detection support?

When a project type is detected, skill recommendation suggests a curated list of essential skills for activation. For example, detecting a go.mod file automatically loads the golang, ginkgo-gomega, and clean-code skills to streamline your setup.

Does auto-detecting project environments require manual configuration?

No, auto-detecting project environments eliminates manual configuration by scanning root-level files. It provides non-invasive, composable detection rules that ensure the right tools are always available for your specific development context.

What's the best way to set up context-aware skill loading for a new repository?

The best way to set up context-aware skill loading is using auto-detect rules that scan root-level files. This approach identifies your project environment and recommends relevant skills for activation without modifying your existing project structure.