Eixo Run
Co.Inteligência v1.0.0
Publisher description
From the marketplace listing
Eixo Run helps runners and coaches explore stored training data in ChatGPT. Users can search workouts by distance, weather, shoes, sources, comments, and time windows; review runner home, plan, race, shoe, feedback, personal-best, and zone-calibration briefs; inspect coach roster activity, attention items, and athlete context; and prepare data-backed visual briefs for training images.
Language: English · Automatically detected from descriptions.
Matches for “personal”
Exact text from the indicated source. A mention alone does not establish support for your task.
Publisher description
Eixo Run helps runners and coaches explore stored training data in ChatGPT. Users can search workouts by distance, weather, shoes, sources, comments, and time windows; review runner home, plan, race, shoe, feedback, personal-best, and zone-calibration briefs; inspect coach roster activity, attention items, and athlete context; and prepare data-backed visual briefs for training images.
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
- Co.Inteligência
Package observed Oct 5, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 6, 2026 · 12:00 UTC
- Collection status
- Collected
plugin_asdk_app_6a65504e33f081918690b272244b74d8
Download plugin data (JSON)Before you connect Eixo Run
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.