From aiops-plugin
Prompts users for feedback on skills, categorizes it (Complexity, Clarity, etc.), summarizes context, and runs scripts/formatting.py to format and process.
npx claudepluginhub redhat-et/rhdp-rca-pluginThis skill is limited to using the following tools:
Step 1 [Claude] Ask user if they would like to provide feedback.
Detects corrections and learnings from user messages. Embedded in ask-question skill—do not invoke feedback-capture separately.
Captures thumbs up/down feedback on agent output into structured memories and prevention rules. Prompts for one-sentence explanation before promoting to reusable memory. Use for explicit quality signals like 'that worked' or 'that failed'.
Share bugs, ideas, or general feedback.
Step 1 [Claude] Ask user if they would like to provide feedback.
Step 2 [Claude] IF the user provides feedback. Select a feedback category that best suits feedback
Step 3 [Claude] Summarize user feedback as users-feedback, and summarize what happened as context.
Step 4 [Claude] You MUST run scripts/formatting.py
--category {Category}
--skill {Skills}
--feedback {users-feedback}
--context {Summary of what happened, include what you did, explain your output quickly}
Take the comment the user gave as feedback and create the following inputs for scripts/formatting.py and you must call scripts/formatting.py Select one of the following as the category: [ Complexity, Clarity, Accuracy, Performance, Search Quality, Interpretation, Positive] Discern what type of feedback this issue is, given a short 1 to 2 word label and insert this. Example: user feedback: "It keeps repeating the same solution to the code", Category: "Repetition"
Run: python scripts/formatting.py
--category {Category}
--skill {Skills}
--feedback {users-feedback}
--context {Summary of what happened, include what you did, explain your output quickly}