Medical Customer Service Powered by AI? This Hermes Skill Blew Me Away
To be honestI've been researching how to integrate AI into daily workespecially in the healthcare sectorAfter allthe pressure on customer service in hospitals and clinics is huge—patients have numerous and varied questionsmanual responses are inefficientand errors are commonI stumbled upon this Hermes Skills project on GitHuband within itthere's a skill specifically for healthcare customer serviceAt that momentI thought"Hmmthis looks interesting."
The full name of this skill is healthcare-customer-servicea submodule within Hermes Skills tailored for the medical industryHermes Skills is a collection of over 310 AI agent skills covering programmingmarketingdesignfinanceMLOpsand moreThis healthcare customer service skill is one of themIts positioning is very clear—to ease the burden on customer service teams in medical institutionsusing AI to handle repetitive and standardized questions.
Last time I tried running it locallythe entire process went surprisingly smoothlyThe installation command is just one line:
npx skills add https://github.com/itgoyo/hermes-skills --skill healthcare-customer-serviceYesit's that simpleAfter executing itthe skill package is automatically downloadedand you configure basic information based on prompts—like selecting a language and setting up an API keyIf you don't want to bother with a local environmentyou can also run it directly on theplatform with just a click of a button.
When it comes to featuresthis skill covers quite a wide range of scenariosFor exampleif a patient asks"Can I change the time for my afternoon appointment today?" or "I felt a bit dizzy after taking the medicine—is that normal?"the AI can provide reasonable answers based on the built-in medical knowledge baseOf courseit's not omnipotentIn emergencies or complex diagnosesit will suggest transferring to human supportThis ensures both efficiency and safety.
What I like most is its flexible configurationYou can upload your institution's common question and answer setsdrug descriptionsdepartment introductionsand other documents to train a model that better understands your specific businessIt also supports multi-turn conversationsso if a patient asks several questions in a rowit remembers the context—unlike some silly bots that forget what was said after each question.
HonestlyI did run into some pitfalls when I first startedFor instanceI forgot to configure the default languageand it kept answering in Englishconfusing the patientLater I found a language option in the skill configurationand changing it to Chinese fixed the issueAnother problem was the knowledge base format—it requires JSONI initially uploaded Markdown fileswhich caused errorswasting half an hour.
This skill is still under active developmentOn GitHubit has 36 stars and 2 forkswith the author itgoyo updating fairly frequentlyIf you're interested in medical AI or happen to have a hospital customer service projectgive it a tryI think it's far better than those expensive customer service systems that cost hundreds of thousands—it's ready to use out of the box and free.
A final friendly reminder: although AI is powerfulhuman lives are at stake in the medical fieldEverything that needs review must be reviewedand anything that requires human intervention should never be fully handed over to machinesMy suggestion is to let AI handle initial screening and common questionsthen transfer complex ones to humansThis approach is both efficient and safe.
Alrightthat's all for todayIf you've tried itfeel free to share your experience in the comments—let's learn from each other!
