Agent skill

Clinical Dialogue Agents Guide

by wentorai in wentorai/research-plugins

Papers on AI agents for clinical dialogue and medical QA. An agent skill from wentorai/research-plugins.

MITAuto-check passedResearch & Science

Install Clinical Dialogue Agents Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill clinical-dialogue-agents-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins clinical-dialogue-agents-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/biomedical/clinical-dialogue-agents-guide .claude/skills/clinical-dialogue-agents-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clinical-dialogue-agents-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
137 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Papers on AI agents for clinical dialogue and medical QA. An agent skill from wentorai/research-plugins.

  • Works in 5 steps: Research survey: Map clinical dialogue… → Benchmark tracking: Compare medical AI… → System design: Learn from clinical agent… → …
  • Research & Science work in your project
  • SKILL.md covers Overview, Research Landscape, Key Systems and Benchmarks, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clinical Dialogue Agents Guide is an agent skill from wentorai/research-plugins. Papers on AI agents for clinical dialogue and medical QA

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “Use the clinical-dialogue-agents-guide skill to paper on AI agents for clinical dialogue and medical QA. An agent skill from wentorai/research-plugins”
  • “/clinical-dialogue-agents-guide”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Research survey: Map clinical dialogue AI landscape
  2. Benchmark tracking: Compare medical AI performance
  3. System design: Learn from clinical agent architectures
  4. Safety analysis: Understand risks and mitigations
  5. Medical education: Patient simulation for training

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • arxiv.org
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clinical Dialogue Agents Guide loads about 1.1k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 137 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 137 words, ~1,138 tokens.

Download SKILL.mdSave it as .claude/skills/clinical-dialogue-agents-guide/SKILL.md (or your agent's skills folder).
name
clinical-dialogue-agents-guide
description
Papers on AI agents for clinical dialogue and medical QA

Agentic Clinical Dialogue Guide

Overview

A curated collection of papers on AI agents for clinical dialogue — systems that conduct patient interviews, perform differential diagnosis, explain medical information, and support clinical decision-making through conversation. Covers medical QA benchmarks, patient simulation, clinical reasoning chains, and safety considerations unique to healthcare AI.

Research Landscape

Agentic Clinical Dialogue
├── Patient-Facing Agents
│   ├── Symptom checkers
│   ├── Triage systems
│   ├── Health information
│   └── Follow-up management
├── Clinician-Facing Agents
│   ├── Diagnostic support
│   ├── Treatment recommendation
│   ├── Clinical documentation
│   └── Literature integration
├── Clinical Reasoning
│   ├── Differential diagnosis
│   ├── History taking
│   ├── Physical exam interpretation
│   └── Test ordering
├── Patient Simulation
│   ├── Standardized patients (SP)
│   ├── Medical education
│   └── Agent evaluation
└── Safety & Ethics
    ├── Hallucination in medicine
    ├── Bias in clinical AI
    ├── Liability frameworks
    └── Informed consent

Key Systems

SystemFocusApproach
AMIEDiagnostic dialogueLLM with clinical reasoning
Med-PaLMMedical QAFinetuned on medical data
ChatDoctorPatient consultationLLaMA + medical knowledge
AgentClinicClinical evaluationSimulated clinical encounters
ClinicalAgentDecision supportMulti-step clinical reasoning

Benchmarks

python
benchmarks = {
    "MedQA (USMLE)": {
        "task": "US Medical Licensing Exam questions",
        "size": "11,450 questions",
        "metric": "Accuracy",
    },
    "PubMedQA": {
        "task": "Biomedical yes/no/maybe QA",
        "size": "1,000 expert-labeled",
        "metric": "Accuracy",
    },
    "AgentClinic": {
        "task": "Simulated clinical encounters",
        "size": "Various patient scenarios",
        "metric": "Diagnostic accuracy + safety",
    },
    "MedMCQA": {
        "task": "Indian medical entrance MCQs",
        "size": "194k questions",
        "metric": "Accuracy",
    },
    "HealthSearchQA": {
        "task": "Consumer health search questions",
        "size": "3,375 questions",
        "metric": "Expert evaluation",
    },
}

for name, info in benchmarks.items():
    print(f"\n{name}:")
    print(f"  Task: {info['task']}")
    print(f"  Size: {info['size']}")

Safety Considerations

markdown
### Critical Safety Issues
1. **Hallucination** — Fabricated medical facts are dangerous
2. **Scope limitations** — AI must know when to defer to human
3. **Emergency recognition** — Must identify urgent situations
4. **Bias** — Demographic biases in training data
5. **Liability** — Legal framework for AI medical advice
6. **Privacy** — Patient data protection (HIPAA compliance)

### Safety Patterns
- Always recommend consulting healthcare providers
- Flag emergency symptoms immediately
- Disclose AI nature to patients
- Log all interactions for audit
- Implement uncertainty quantification

Reading Roadmap

markdown
### Foundations
1. AMIE: "Towards Conversational Diagnostic AI" (Google, 2024)
2. Med-PaLM 2: "Expert-level medical QA" (Google, 2023)
3. "Evaluating LLMs in Clinical Dialogue" (Survey, 2024)

### Clinical Reasoning
4. "Chain-of-Diagnosis" (Clinical CoT, 2024)
5. "AgentClinic: Evaluating Clinical Agents" (2024)
6. "Simulated Patient Encounters with LLMs" (2024)

### Safety
7. "Hallucination in Medical AI" (Survey, 2024)
8. "Red Teaming Medical LLMs" (2024)

Use Cases

  1. Research survey: Map clinical dialogue AI landscape
  2. Benchmark tracking: Compare medical AI performance
  3. System design: Learn from clinical agent architectures
  4. Safety analysis: Understand risks and mitigations
  5. Medical education: Patient simulation for training

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/domains/biomedical/clinical-dialogue-agents-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Questions about Clinical Dialogue Agents Guide

What does Clinical Dialogue Agents Guide do?

Papers on AI agents for clinical dialogue and medical QA. An agent skill from wentorai/research-plugins. Clinical Dialogue Agents Guide is an agent skill from wentorai/research-plugins.

When should I use Clinical Dialogue Agents Guide?

Clinical Dialogue Agents Guide fits situations like: research & Science work in your project.

How do I install Clinical Dialogue Agents Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill clinical-dialogue-agents-guide -a claude-code`. Or copy the skill folder (skills/domains/biomedical/clinical-dialogue-agents-guide in wentorai/research-plugins) into .claude/skills/clinical-dialogue-agents-guide in your project. Claude Code loads it when a task matches its description.

How do I install Clinical Dialogue Agents Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill clinical-dialogue-agents-guide -a codex`. Or copy the skill folder (skills/domains/biomedical/clinical-dialogue-agents-guide in wentorai/research-plugins) into .agents/skills/clinical-dialogue-agents-guide in your project. Codex loads it when a task matches its description.

Can I use Clinical Dialogue Agents Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill clinical-dialogue-agents-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clinical-dialogue-agents-guide, .gemini/skills/clinical-dialogue-agents-guide, .github/skills/clinical-dialogue-agents-guide and .opencode/skills/clinical-dialogue-agents-guide in your project.

What does Clinical Dialogue Agents Guide need to run?

SKILL.md names no scripts, command-line tools or credentials: Clinical Dialogue Agents Guide is instructions for the agent only. Our summary lists: Python 3.

Does Clinical Dialogue Agents Guide access the network?

SKILL.md names 2 domains. As links in the text: arxiv.org and github.com. This is read from the text; nothing was executed.

Is Clinical Dialogue Agents Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clinical Dialogue Agents Guide use?

Clinical Dialogue Agents Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clinical Dialogue Agents Guide use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Clinical Dialogue Agents Guide?

Skills that share tags, products or a category with Clinical Dialogue Agents Guide: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clinical Dialogue Agents Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.