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sk Skill · ContextJet-ai

collect-user-feedback

Use this to capture user feedback on LLM outputs (thumbs up/down, edits, corrections, implicit signals) and feed it back into observability and evals. Trigger on "add thumbs up/down", "collect feedback on responses", "how do I know if users like the answers", "improve from real usage", "human feedback loop". Turn real user signal into your best source of eval data.

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Python
Host repository
ContextJet-ai/awesome-llm-observability
Licence
CC0-1.0
Host stars
34
Host language
Python