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