prompt-engineering

allohamora/learn-helper

Use this skill when you are writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

0 stars

0 forks

4 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering ~/.claude/skills/learn-helper

# Project-specific

git clone https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering .claude/skills/learn-helper

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering

Option 2: Clone to extensions directory

git clone https://github.com/allohamora/learn-helper/tree/master/.claude/skills/prompt-engineering ~/.gemini/extensions/learn-helper

Related Skills

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration

docstring

Tensors and Dynamic neural networks in Python with strong GPU acceleration

at-dispatch-v2

Tensors and Dynamic neural networks in Python with strong GPU acceleration

add-uint-support

Tensors and Dynamic neural networks in Python with strong GPU acceleration