collect-user-feedback
Skill46 starsChanged 4 months agoLicence not identifiedView on GitHub
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.
In this repository25 other files it gives its agents.
- add-llm-evalsSkill
- add-llm-fallbacksSkill
- add-llm-guardrailsSkill
- annotate-traces-for-reviewSkill
- build-eval-datasetSkill
- check-answer-consistencySkill
- choose-observability-stackSkill
- compare-llm-modelsSkill
- debug-agent-from-tracesSkill
- detect-hallucinationsSkill
- estimate-llm-costSkill
- eval-driven-developmentSkill
- instrument-llm-observabilitySkill
- measure-agent-task-successSkill
- monitor-rag-qualitySkill
- optimize-promptsSkill
- redact-pii-for-tracingSkill
- red-team-llm-appSkill
- reduce-llm-costSkill
- scrub-pii-from-textSkill
- set-up-ab-testingSkill
- set-up-drift-alertsSkill
- trace-based-testingSkill
- trace-multi-agent-systemSkill
- validate-genai-spansSkill
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