About
The Flo skill enables Claude to access menstrual and reproductive health tracking data from Flo accounts. It allows viewing cycle predictions, logging symptoms, and accessing health insights through Claude Code. Developers can integrate it by setting credentials via canifi-env or using manual browser authentication for privacy.
Quick Install
Claude Code
Recommendednpx skills add NeverSight/skills_feed -a claude-code/plugin add https://github.com/NeverSight/skills_feedgit clone https://github.com/NeverSight/skills_feed.git ~/.claude/skills/floCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the flo skill?
flo is a Claude Skill by NeverSight. Skills package instructions and resources that Claude loads on demand, so Claude can perform flo-related tasks without extra prompting.
How do I install flo?
Use the install commands on this page: add flo to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does flo belong to?
flo is in the health category, tagged general.
Is flo free to use?
Yes. flo is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
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The WHOOP skill enables developers to track fitness recovery and strain metrics directly within Claude Code. It provides access to HRV trends, recovery scores, and performance optimization data from WHOOP wearables. Use this skill when building health-focused applications or analyzing personal biometrics for performance insights.
This skill enables Claude to interact with Strava for athletic activity tracking, allowing developers to view workouts, analyze performance metrics, and access training history. It's useful for integrating fitness data analysis into development workflows. Setup involves configuring credentials via environment variables or manual browser authentication.
This skill enables Claude to access Apple Fitness+ workout data through web scraping, allowing developers to retrieve workout history, achievements, and activity metrics. It requires authentication via stored credentials or manual browser login to interact with Apple's fitness platform. Use this when building health-tracking features that need to integrate with Apple Fitness+ data.