Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
FHIR Questionnaire Designer
Helps creating FHIR conforming questionnaire definitions from plain requirement ideation docs. Contains scripts to look up LOINC and SNOMED CT codes for medical conditions, findings, observations, medications, procedures from a official coding APIs. No API keys required at the moment.
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Helps creating FHIR conforming questionnaire definitions from plain requirement ideation docs. Contains scripts to look up LOINC and SNOMED CT codes for medical conditions, findings, observations, medications, procedures from a official coding APIs. No API keys required at the moment.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- REFERENCE.md, SKILL.md, assets/templates/CodeSystem-example.json, assets/templates/ValueSet-example.json, assets/templates/advanced.json, assets/templates/basic.json
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.4
Provenance
- Publisher
- elmariachi111
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Documentation
โ ๏ธ CRITICAL RULES - READ FIRST
NEVER suggest LOINC or SNOMED CT codes from memory or training data. ALWAYS use the search and query scripts in this skill. When any clinical code is needed: For clinical questions/observations: ALWAYS run python scripts/search_loinc.py "search term" FIRST For clinical concepts/conditions: ALWAYS run python scripts/search_snomed.py "search term" FIRST ONLY use codes returned by the scripts If search fails or returns no results, DO NOT make up codes Clinical codes from AI memory are highly unreliable and will cause incorrect clinical coding.
Network Access Requirements
Requires whitelisted network access: clinicaltables.nlm.nih.gov (LOINC search) tx.fhir.org (FHIR terminology server for LOINC answer lists and SNOMED CT search) If network access fails, STOP. Do not suggest codes.
1. Search LOINC Codes
ALWAYS run this before suggesting any LOINC code (clinical questions/observations): python scripts/search_loinc.py "depression screening" python scripts/search_loinc.py "blood pressure" --format fhir
2. Search SNOMED CT Codes
ALWAYS run this before suggesting any SNOMED CT code (clinical concepts/conditions): python scripts/search_snomed.py "diabetes" python scripts/search_snomed.py "hypertension" --format fhir python scripts/search_snomed.py "diabetes mellitus" --semantic-tag "disorder" Note: The --semantic-tag filter works best when the semantic tag appears in the display name (e.g., "Diabetes mellitus (disorder)").
3. Find Answer Options
For questions with standardized answers: python scripts/query_valueset.py --loinc-code "72166-2" python scripts/query_valueset.py --loinc-code "72166-2" --format fhir
4. Validate Questionnaire
Before finalizing: python scripts/validate_questionnaire.py questionnaire.json
Templates
Start with assets/templates/: minimal.json - Bare bones structure basic.json - Simple questionnaire advanced.json - Complex with conditional logic
Standardized Clinical Instruments (PHQ-9, GAD-7, etc.)
# Step 1: Find panel code (NEVER skip this) python scripts/search_loinc.py "PHQ-9 panel" # Step 2: Find answer options python scripts/query_valueset.py --loinc-code "FOUND-CODE" --format fhir # Step 3: See examples/templates # Check references/examples.md for complete implementations
Custom Organizational Questionnaires
# Step 1: Start with template cp assets/templates/advanced.json my-questionnaire.json # Step 2: For any clinical questions, search LOINC python scripts/search_loinc.py "body weight" # Step 3: Add answer options if available python scripts/query_valueset.py --loinc-code "FOUND-CODE" # Step 4: For custom questions without LOINC results, use inline answerOptions # (no coding system needed - just code + display) # Step 5: Validate python scripts/validate_questionnaire.py my-questionnaire.json
Custom Answer Lists (When LOINC Has No Match)
When LOINC search returns no suitable answer list, use inline answerOption with system-less valueCoding by default. This is the simplest, spec-compliant approach for custom answer lists: { "linkId": "sleep-quality", "type": "choice", "text": "How would you rate your sleep quality?", "answerOption": [ {"valueCoding": {"code": "good", "display": "Good"}}, {"valueCoding": {"code": "fair", "display": "Fair"}}, {"valueCoding": {"code": "poor", "display": "Poor"}} ] } Do NOT invent a coding system URI. Omitting system is valid FHIR and signals that these are local, questionnaire-scoped codes. Opt-in: Reusable Welshare Coding System If the user explicitly requests reusable codes that can be shared across questionnaires, use the Welshare namespace (http://codes.welshare.app) via the helper script: python scripts/create_custom_codesystem.py --interactive This creates a CodeSystem + ValueSet pair. To convert an inline answer list to the reusable format, add "system": "http://codes.welshare.app/CodeSystem/<category>/<id>.json" to each valueCoding and optionally reference the ValueSet via answerValueSet. See references/loinc_guide.md for details.
Common Patterns
Conditional display: Use enableWhen to show/hide questions Repeating groups: Set "repeats": true for medications, allergies, etc. Standardized answers: Use query_valueset.py --loinc-code "CODE" for LOINC-backed answer lists Custom answers: Use inline answerOption with valueCoding (no system) for non-standardized choices See references/examples.md for complete working examples.
search_loinc.py - Find LOINC Codes
python scripts/search_loinc.py "blood pressure" python scripts/search_loinc.py "depression" --limit 10 --format fhir
search_snomed.py - Find SNOMED CT Codes
python scripts/search_snomed.py "diabetes" python scripts/search_snomed.py "hypertension" --limit 10 --format fhir python scripts/search_snomed.py "asthma" --format table python scripts/search_snomed.py "diabetes mellitus" --semantic-tag "disorder" Formats: json (default), table, fhir Semantic tags (when present in results): disorder, finding, procedure, body structure, substance, organism Note: Semantic tag filtering only works when tags are included in the display name from the terminology server.
query_valueset.py - Find Answer Options
python scripts/query_valueset.py --loinc-code "72166-2" python scripts/query_valueset.py --loinc-code "72166-2" --format fhir python scripts/query_valueset.py --search "smoking" Alternative servers (if tx.fhir.org fails): --server https://hapi.fhir.org/baseR4 --server https://r4.ontoserver.csiro.au/fhir
validate_questionnaire.py - Validate Structure
python scripts/validate_questionnaire.py questionnaire.json python scripts/validate_questionnaire.py questionnaire.json --verbose
extract_loinc_codes.py - Analyze Codes
python scripts/extract_loinc_codes.py questionnaire.json python scripts/extract_loinc_codes.py questionnaire.json --validate
create_custom_codesystem.py - Reusable Custom Codes (Opt-in)
python scripts/create_custom_codesystem.py --interactive Only use when the user explicitly requests reusable codes across questionnaires. Uses the Welshare namespace: http://codes.welshare.app. Default for custom answers is inline answerOption without a coding system.
Troubleshooting
No LOINC results: Use broader search terms (e.g., "depression" not "PHQ-9 question 1") Network errors: Try alternative servers with --server flag Validation errors: Check references/fhir_questionnaire_spec.md for requirements No answer list found: Use inline answerOption with system-less valueCoding (code + display only). Do NOT fall back to a custom coding system unless the user explicitly requests it
Deep Knowledge References
We've assembled deep knowledge for you to consult on specific topics. Checkout the index file on See REFERENCE.md and drill down the knowledge path for highly detailed instructions on modelling questionnaires.
Reference Links
FHIR Questionnaire Spec LOINC Database Complete Documentation
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Config2 Docs
- SKILL.md
- REFERENCE.md
- assets/templates/advanced.json
- assets/templates/basic.json
- assets/templates/CodeSystem-example.json
- assets/templates/ValueSet-example.json