Skills faq-generator
Generates FAQ lists from complex medical policies or protocols. Trigger when user provides medical documents, policies, or protocols and requests FAQ generation, patient education materials, or simplified explanations.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aipoch-ai/faq-generator" ~/.claude/skills/openclaw-skills-faq-generator && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/aipoch-ai/faq-generator" ~/.openclaw/skills/openclaw-skills-faq-generator && rm -rf "$T"
manifest:
skills/aipoch-ai/faq-generator/SKILL.mdsource content
FAQ Generator
Creates FAQ lists from medical documents.
Features
- Automatic Q&A generation
- Policy interpretation
- Patient-friendly language
- Structured formatting
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
| string | - | Yes | Source document file path |
| string | general | No | Target audience (patients, researchers, general) |
| string | stdout | No | Output file path |
| string | json | No | Output format (json, markdown, text) |
Output Format
{ "faqs": [{"question": "", "answer": ""}], "topic": "string" }
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | No scripts included | Low |
| Network Access | No external API calls | Low |
| File System Access | Read-only within workspace | Low |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Input/output within session | Low |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access (../)
- No network requests to external services
- Output does not expose sensitive information
- Prompt injection protections in place
Evaluation Criteria
Success Metrics
- FAQ accurately represents source document content
- Language is appropriate for specified audience (patients/researchers)
- Questions cover key points of the document
- Answers are clear, concise, and medically accurate
- Format follows structured JSON schema
Test Cases
- Basic FAQ Generation: Input simple medical protocol → Output valid FAQ list
- Audience Adaptation: Same input with different audiences → Appropriate tone shift
- Complex Document: Input lengthy policy document → Comprehensive FAQ coverage
- Edge Case: Input ambiguous content → Handles gracefully with clarifying questions
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Add support for multi-language output
- Enhance medical terminology handling