AI Feedback Loops Skill for ChatGPT: Design Partial Edits and Undo
Turn ratings, regeneration, inline editing, and direct corrections into observable feedback. Specify timing, user actions, system response, and how accepted content stays in place.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download claude-plugin/model-interaction-design/skills/feedback-loops/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for feedback-loops together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that feedback-loops appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
A fictional reading assistant outputs a title, outline, and quotation. A user wants to change only outline item two. Draft selection, edit preview, undo, and feedback logging.What to check
Keep the title, other outline items, and quotation. Explain selection, before-and-after preview, undo, and restore. A fictional event type is enough for the example.
Original SKILL.md on GitHub · Updated
Frequently asked question
Should I show a rating popup after every generation?
Match feedback timing to the workflow. Let users act on the result and provide low-friction correction in place. Ask for an explicit rating when the answer is needed.