Trainerrr
Abdellatif KEBRAOUI AE v1.0.0
Publisher description
From the marketplace listing
Trainerrr helps signed-in users manage workout plans, reusable sessions, completed workout logs, training journal notes, weekly progress check-ins, nutrition logs, food lookups, and personal fitness targets through ChatGPT. It processes the workout, nutrition, target, journal, progress-check-in, and image-reference details users choose to send so it can complete requested actions for their Trainerrr account.
Language: English · Automatically detected from descriptions.
Matches for “processes”
Exact text from the indicated source. A mention alone does not establish support for your task.
Publisher description
Trainerrr helps signed-in users manage workout plans, reusable sessions, completed workout logs, training journal notes, weekly progress check-ins, nutrition logs, food lookups, and personal fitness targets through ChatGPT. It processes the workout, nutrition, target, journal, progress-check-in, and image-reference details users choose to send so it can complete requested actions for their Trainerrr account.
Files & skills
File archives
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- Abdellatif KEBRAOUI AE
Package observed Oct 3, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 4, 2026 · 00:00 UTC
- Collection status
- Collected
plugin_asdk_app_6a356725f034819186580eaee90be08d
Download plugin data (JSON)Before you connect Trainerrr
How do I connect it?
Open the publisher's marketplace listing to check current availability and follow its connection instructions. This directory does not install plugins. Check the requested access and any account requirements before connecting.
Check marketplace availability ↗
Does it require paid access?
We have not established the pricing or subscription requirements for this plugin. An absent price does not mean free access.
Compare researched pricing and access models →
How can I evaluate it?
Check the declared skills and available files, then try a small task whose result you can verify. Our archived descriptions and instructions establish publisher claims, not tested runtime quality. Review sources and coverage limits.