Skills pipeworx-genderize

Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/b-gutman/pipeworx-genderize" ~/.claude/skills/openclaw-skills-pipeworx-genderize && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/b-gutman/pipeworx-genderize" ~/.openclaw/skills/openclaw-skills-pipeworx-genderize && rm -rf "$T"
manifest: skills/b-gutman/pipeworx-genderize/SKILL.md
source content

Genderize

Predict the statistical gender distribution of a first name based on a database of millions of records. Optionally calibrate predictions by country, since names like "Andrea" skew differently in Italy vs. the US.

Tools

  • predict_gender
    — Gender prediction from a first name. Returns the predicted gender and probability (0-1).
  • predict_gender_country
    — Same prediction with country-specific calibration using ISO 3166-1 alpha-2 codes.

Use cases

  • Personalizing marketing content based on likely gender of a first name
  • Demographic analysis of customer databases
  • Research on name-gender associations across cultures
  • Form pre-filling where gender context helps UX

Example

curl -s -X POST https://gateway.pipeworx.io/genderize/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"predict_gender_country","arguments":{"name":"Andrea","country_id":"IT"}}}'
{
  "name": "Andrea",
  "gender": "male",
  "probability": 0.98,
  "count": 54032,
  "country_id": "IT"
}

Setup

{
  "mcpServers": {
    "pipeworx-genderize": {
      "command": "npx",
      "args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/genderize/mcp"]
    }
  }
}