skill-factory

zenbase-ai/code-voyager

Self-improving skill library for programming workflows. Mines transcripts and patternsto propose and scaffold new skills. Use when you hear:- "turn this workflow into a skill"- "make a skill for our PR review process"- "generate a new skill"- "automate this repeated process"- "create a skill for X"- "what skills could I create?"- "propose some skills"

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory ~/.claude/skills/code-voyager

# Project-specific

git clone https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory .claude/skills/code-voyager

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory

Option 2: Clone to extensions directory

git clone https://github.com/zenbase-ai/code-voyager/tree/main/.claude/skills/skill-factory ~/.gemini/extensions/code-voyager

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at-dispatch-v2

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add-uint-support

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.