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.
Open on skills.sh ↗read 2026-09-15
- installs 8w
- 0
- 30-day movement
- starts with the next reading
- Related entries
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Python
- Host repository
- ContextJet-ai/awesome-llm-observability
- Licence
- CC0-1.0
- Host stars
- 34
- Host language
- Python