{"id":"5b2e7558-1de3-4034-8754-f224877bc8c8","entityType":"agent","slug":"clawhub-huifer-wellally-health-skills","name":"Wellally Health Skills","canonicalUrl":"https://www.xpersona.co/agent/clawhub-huifer-wellally-health-skills","canonicalPath":"/agent/clawhub-huifer-wellally-health-skills","generatedAt":"2026-10-14T18:50:29.507Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T19:41:54.848Z","emptyReason":null},"description":"Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Skill: Wellally Health Skills Owner: huifer Summary: Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-02-17T04:50:50.696Z | auto Initial release of wellally-health-skills. - Introduces support for creating, managing, and sharing custom skills to extend Claude's capa","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. 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either a .claude/commands or .claude/skills entry creates a slash command.\n- Implements automatic and direct invocation of skills via slash commands.\n- Adopts and extends the Agent Skills open standard, supporting features like invocation control, subagent execution, and dynamic context injection.\n- Adds support for skill-specific directories, supporting files, nested discovery in subdirectories, and prioritization across enterprise, personal, project, and plugin levels.\n- Provides comprehensive examples and guidelines for creating, configuring, and organizing skills using YAML frontmatter and markdown.\n\nArchive index:\n\nArchive v0.1.0: 287 files, 534027 bytes\n\nFiles: data/ai-config.json (3673b), data/ai-history.json (613b), data/allergies.json (284b), data/andropause-tracker.json (2702b), data/child-vaccinations.json (572b), data/child-vaccine-database.json (17103b), data/cognitive-assessment.json (2303b), data/constitution-recommendations.json (30582b), data/constitutions.json (20474b), data/copd-tracker.json (1765b), data/cycle-tracker.json (733b), data/diabetes-tracker.json (1501b), data/eye-health-tracker.json (1686b), data/fall-risk-assessment.json (2589b), data/family-health-tracker.json (755b), data/fertility-tracker.json (1375b), data/food-categories.json (9461b), data/food-database.json (85253b), data/growth-tracker.json (1877b), data/health-feeling-logs.json (370b), data/hypertension-tracker.json (1297b), data/index.json (2370b), data/interactions/interaction-db.json (34517b), data/menopause-tracker.json (354b), data/nutritional-reference.json (25548b), data/polypharmacy-management.json (1097b), data/postpartum-tracker.json (4215b), data/pregnancy-tracker.json (981b), data/profile.json (411b), data/prostate-tracker.json (1638b), data/radiation-records.json (220b), data/reminders.json (275b), data/screening-tracker.json (526b), data/travel-health-tracker.json (774b), data/user-settings.json (391b), data/vaccinations.json (396b), data/vaccine-database.json (29386b), data/who-growth-standards.json (17595b), docs/feature-list-for-partners.md (11913b), skill-card.md (2790b), skills.md (32418b), skills/ai-health/examples.md (3074b), skills/ai-health/schema.json (2345b), skills/ai-health/schema.md (1545b), skills/ai-health/SKILL.md (4849b), skills/allergy/examples.md (2141b), skills/allergy/schema.json (3930b), skills/allergy/schema.md (1697b), skills/allergy/SKILL.md (5956b), skills/child-development/examples.md (2286b), skills/child-development/schema.json (5081b), skills/child-development/schema.md (2227b), skills/child-development/SKILL.md (6593b), skills/child-illness/examples.md (2778b), skills/child-illness/schema.json (4157b), skills/child-illness/schema.md (2354b), skills/child-illness/SKILL.md (6052b), skills/child-mental/examples.md (3474b), skills/child-mental/schema.json (5212b), skills/child-mental/schema.md (2826b), skills/child-mental/SKILL.md (5813b), skills/child-nutrition/examples.md (3788b), skills/child-nutrition/schema.json (5862b), skills/child-nutrition/schema.md (2824b), skills/child-nutrition/SKILL.md (6455b), skills/child-safety/examples.md (4954b), skills/child-safety/schema.json (3748b), skills/child-safety/schema.md (2596b), skills/child-safety/SKILL.md (6450b), skills/child-sleep/examples.md (3975b), skills/child-sleep/schema.json (3957b), skills/child-sleep/schema.md (3172b), skills/child-sleep/SKILL.md (6922b), skills/child-vaccine/examples.md (3806b), skills/child-vaccine/schema.json (3583b), skills/child-vaccine/schema.md (3469b), skills/child-vaccine/SKILL.md (6746b), skills/cognitive/examples.md (3574b), skills/cognitive/schema.json (7472b), skills/cognitive/schema.md (1431b)\n\nFile v0.1.0:skills/ai-health/SKILL.md\n\n---\nname: ai-health\ndescription: AI-driven health analysis system including comprehensive analysis, risk prediction, intelligent Q&A, and report generation.\nargument-hint: \nallowed-tools: Read, Write\nschema: ai-health/schema.json\n---\n\n# AI Health Assistant Skill\n\nAI-driven comprehensive health analysis system providing intelligent health insights, risk prediction, and personalized recommendations.\n\n## Core Flow\n\n```\nUser Input -> Parse Operation Type -> [analyze] Read Data -> Multi-dimensional Analysis -> Generate Insights -> Output Report\n -> [predict] Extract Risk Factors -> Calculate Risk -> Generate Recommendations\n -> [chat] Parse Query -> Retrieve Data -> Analyze -> Reply\n -> [report] Generate HTML Report\n -> [status] Display Configuration Status\n```\n\n## Step 1: Parse Operation Type\n\n| Input Keywords | Operation |\n|----------------|-----------|\n| analyze | analyze |\n| predict | predict |\n| chat | chat |\n| report | report |\n| status | status |\n\n## Step 2: AI Comprehensive Analysis (analyze)\n\n### Analysis Process\n\n```\n1. Read AI configuration and user profile\n2. Read all health data sources\n - Basic indicators (profile.json)\n - Lifestyle data\n - Mental health data\n - Medical history data\n3. Execute multi-dimensional analysis\n - Correlation analysis (Pearson, Spearman)\n - Trend analysis (linear regression, moving average)\n - Anomaly detection (CUSUM, Z-score)\n4. Generate personalized recommendations (Level 1-3)\n5. Output text report\n6. Generate HTML report (optional)\n```\n\n### Time Range Parameters\n\n| Parameter | Description |\n|-----------|-------------|\n| all | All data |\n| last_month | Last month |\n| last_quarter | Last quarter (default) |\n| last_year | Last year |\n| YYYY-MM-DD | From specified date to present |\n\n## Step 3: Health Risk Prediction (predict)\n\n### Supported Risk Types\n\n| Type | Description | Model |\n|------|-------------|-------|\n| hypertension | Hypertension risk (10-year) | Framingham |\n| diabetes | Diabetes risk (10-year) | ADA |\n| cardiovascular | Cardiovascular risk (10-year) | Framingham |\n| all | All risk predictions | Combined |\n\n### Risk Calculation Process\n\n```\n1. Read user profile and related health data\n2. Extract risk factors (age, BMI, blood pressure, blood sugar, family history, etc.)\n3. Apply risk prediction models\n4. Calculate risk probability and grade\n5. Identify modifiable risk factors\n6. Generate prevention recommendations\n```\n\n## Step 4: Intelligent Health Q&A (chat)\n\n### Supported Query Types\n\n**Data Query:**\n```\nWhat is my average sleep time?\nWhat is my recent weight?\n```\n\n**Trend Analysis:**\n```\nHow has my weight changed recently?\nHas my sleep quality improved?\n```\n\n**Correlation Query:**\n```\nHow does exercise affect my sleep?\nIs there a relationship between diet and my weight?\n```\n\n**Recommendation Query:**\n```\nHow can I improve my sleep quality?\nShould I reduce my hypertension risk?\n```\n\n## Step 5: Generate AI Report (report)\n\n### Report Types\n\n| Type | Description |\n|------|-------------|\n| comprehensive | Comprehensive health report (default) |\n| quick_summary | Quick summary |\n| risk_assessment | Risk assessment report |\n| trend_analysis | Trend analysis report |\n\n### Report Generation Process\n\n```\n1. Read user data and AI configuration\n2. Execute analysis based on report type\n3. Call report generation script\n4. Save to data/ai-reports/ directory\n5. Display report file path\n```\n\n## Execution Instructions\n\n```\n1. Parse operation type and parameters\n2. [analyze] Load data -> Multi-dimensional analysis -> Generate insights -> Output\n3. [predict] Extract risk factors -> Apply models -> Calculate risk -> Output\n4. [chat] Parse query -> Retrieve data -> Analyze and reply\n5. [report] Determine type -> Generate HTML -> Save\n6. [status] Read configuration -> Display status\n```\n\n## Example Interactions\n\n### Comprehensive Analysis\n```\nUser: AI analysis\n\nOutput:\nAI Health Analysis Report\n━━━━━━━━━━━━━━━━━━━━━━━━━━\nHealth Index: 72/100 (Good)\nImproving: Sleep quality, Exercise level\nNeeds Attention: BMI, Medication adherence\n\n🎯 Risk Prediction:\nHypertension Risk: 32% (Moderate Risk)\nDiabetes Risk: 18% (Low Risk)\n```\n\n### Risk Prediction\n```\nUser: AI predict hypertension risk\n\nOutput:\n🎯 Hypertension Risk Prediction Report\nRisk Probability: 32%\nRisk Grade: 🟡 Moderate Risk\n\nMajor Risk Factors:\n1. BMI: 24.9 (Approaching overweight)\n2. Systolic BP: 128 mmHg (High-normal)\n```\n\n### Intelligent Q&A\n```\nUser: What is my average sleep time?\n\nOutput:\nBased on records from the past 90 days,\nYour average sleep time is 6.8 hours.\n\nRecommendation: Aim for 7-9 hours of sleep\n```\n\nFile v0.1.0:skills/allergy/SKILL.md\n\n---\nname: allergy\ndescription: Manage allergy records including drug, food, and environmental allergies with severity tracking and medical alert integration.\nargument-hint: \nallowed-tools: Read, Write\nschema: allergy/schema.json\n---\n\n# Allergy History Management Skill\n\nRecord and manage allergy history, including drug allergies, food allergies, environmental allergies, etc., with quick query and update support.\n\n## Core Flow\n\n```\nUser Input -> Parse Operation Type -> [add] Parse Allergy Info -> Medical Standardization -> Generate JSON -> Save\n -> [list] Filter and Display\n -> [update] Find and Update -> Save\n -> [delete] Confirm Deletion\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Recognition\n\n| Input Keywords | Operation |\n|----------------|-----------|\n| add | add |\n| list | list |\n| update | update |\n| delete | delete |\n\n## Step 2: Add Allergy Record (add)\n\n### Allergy Information Parsing\n\nExtract from natural language:\n\n**Basic Information (Auto Extracted):**\n- **Allergen Name**: Specific substance name causing allergy\n- **Allergy Type**: Drug, food, environmental, other\n- **Severity Level**: Mild, moderate, severe, anaphylaxis\n- **Reaction Symptoms**: Specific allergic reaction manifestations\n\n**Detailed Information (Extract or Ask):**\n- **Discovery Time**: When allergy was first discovered\n- **Discovery Circumstances**: Situation and context at the time\n- **Confirmation Method**: Doctor diagnosis, self-observation, test confirmed\n- **Current Status**: Still allergic or resolved\n\n### Medical Standardization Conversion\n\n| Colloquial Description | Medical Term | Type |\n|------------------------|-------------|------|\n| Penicillin | Penicillin | Drug allergy |\n| Peanut | Peanut | Food allergy |\n| Pollen | Pollen | Environmental allergy |\n| Iodine contrast | Iodine contrast | Drug allergy |\n| Hymenoptera venom | Hymenoptera venom | Other allergy |\n\n### Allergy Type Classification\n\n- **Drug Allergies**: Antibiotics (penicillin, cephalosporin, etc.), painkillers (aspirin, etc.), contrast agents, vaccines, TCM, etc.\n- **Food Allergies**: Seafood (shrimp, crab, shellfish), nuts (peanut, walnut), eggs, dairy, gluten, fruits, etc.\n- **Environmental Allergies**: Pollen, dust mites, animal dander, mold, latex, etc.\n- **Other Allergies**: Insect bites, chemicals, metals, etc.\n\n### Automatic Severity Determination\n\n**Keyword Mapping:**\n- \"Shock\", \"Anaphylaxis\", \"Unconscious\", \"Coma\" → Level 4 (anaphylaxis)\n- \"Severe\", \"Systemic\", \"Unbearable\", \"BP drop\" → Level 3 (severe)\n- \"Obvious\", \"Moderate\", \"Needs treatment\", \"Swelling\" → Level 2 (moderate)\n- \"Mild\", \"Occasional\", \"Local\" → Level 1 (mild) |\n\n### Reaction Symptom Recognition\n\n**Skin symptoms:** Rash, hives, itching, redness, erythema\n**Respiratory symptoms:** Dyspnea, wheezing, laryngeal edema, chest tightness\n**Digestive symptoms:** Nausea, vomiting, diarrhea, abdominal pain\n**Systemic symptoms:** Shock, blood pressure drop, syncope, loss of consciousness, systemic urticaria\n\n## Step 3: Generate JSON\n\n```json\n{\n \"allergies\": [\n {\n \"id\": \"allergy_20251231123456789\",\n \"allergen\": {\n \"name\": \"Penicillin\",\n \"type\": \"drug\",\n \"type_category\": \"Drug allergy\",\n \"synonyms\": [\"Penicillin\", \"盘尼西林\"]\n },\n \"severity\": {\n \"level\": \"severe\",\n \"level_code\": 3,\n \"description\": \"Severe allergic reaction\"\n },\n \"reactions\": [\n {\n \"reaction\": \"Rash\",\n \"onset_time\": \"Within 30 minutes of exposure\",\n \"severity\": \"moderate\"\n }\n ],\n \"discovery\": {\n \"date\": \"2010-05-15\",\n \"age_at_discovery\": \"8 years old\",\n \"circumstances\": \"Appeared after penicillin injection during pneumonia treatment\"\n },\n \"confirmation\": {\n \"method\": \"doctor_confirmed\",\n \"method_name\": \"Doctor diagnosis\",\n \"confirmed_by\": \"XX Hospital Pediatrics\"\n },\n \"current_status\": {\n \"status\": \"active\",\n \"status_name\": \"Active\"\n },\n \"management\": {\n \"avoidance_strategy\": \"Strictly avoid penicillin-class medications\",\n \"emergency_plan\": \"Seek immediate medical attention if accidentally used, carry allergy information\",\n \"medical_alert\": true\n },\n \"notes\": \"Must proactively inform medical staff during all medical visits\"\n }\n ]\n}\n```\n\n## Step 4: Save Data\n\nFile path: `data/allergies.json`\n\n## Step 5: View Allergy Records (list)\n\n**Filter Parameters:**\n- No parameters: Display all allergies\n- `active`: Display only active allergies\n- `drug`: Display only drug allergies\n- `food`: Display only food allergies\n- `severe`: Display only severe and above allergies\n\n## Step 6: Update/Delete Allergy Records\n\n**Supported Fields:**\n- `severity`: Severity level (mild/moderate/severe/anaphylaxis)\n- `status`: Current status (active/resolved)\n- `notes`: Notes\n\n## Execution Instructions\n\n```\n1. Parse operation type (add/list/update/delete)\n2. [add] Parse allergy info, medical standardization, generate JSON, save\n3. [list] Read allergies.json, filter and display\n4. [update] Find allergen, update fields, save\n5. [delete] Confirm deletion, remove record\n```\n\n## Example Interactions\n\n### Add Allergy Record\n```\nUser: Penicillin severe allergy from childhood injection caused difficulty breathing\n-> Save drug allergy record, severity level 3\n```\n\n### View All Allergies\n```\nUser: View all allergies\n-> Display all allergy records grouped by type\n```\n\n### View Severe Allergies\n```\nUser: View severe allergies\n-> Display only level 3 and above allergy records\n```\n\n### Update Status\n```\nUser: Peanut status changed to resolved\n-> Update current status to resolved\n```\n\n### Delete Record\n```\nUser: Delete penicillin allergy\n-> Confirm then delete record\n```\n\nFile v0.1.0:skills/child-development/SKILL.md\n\n---\nname: child-development\ndescription: Track and assess child developmental milestones based on ASQ-3 and Denver II standards. Use when user mentions development, milestones, motor skills, language, social skills, or cognitive development.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-development/schema.json\n---\n\n# Child Developmental Milestone Tracking Skill\n\nChild developmental milestone tracking and assessment based on ASQ-3 and Denver II standards, providing early warning for developmental delays.\n\n## Core Flow\n\n```\nUser Input → Parse Operation Type → Read Child Information → Calculate Age → Determine Assessment Items → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | domain |\n|------|--------|--------|\n| record | record | all(default)/gross/fine/language/social/cognitive |\n| check | check | - |\n| milestone | milestone | Optional: specify domain |\n| delay | delay | - |\n| history | history | - |\n\n### Developmental Domain Mapping\n\n| Input Keywords | domain |\n|----------------|--------|\n| gross motor | gross |\n| fine motor | fine |\n| language | language |\n| social | social |\n| cognitive | cognitive |\n\n## Step 2: Check Information Completeness\n\n### Required (prompt to set if missing):\n- Child name (from data/profile.json)\n- Birth date (from data/profile.json)\n- Gender (from data/profile.json)\n- Prematurity status (from data/profile.json)\n\n### Prompt when child profile missing:\n```\nChild profile not found\n\nPlease set child basic information first:\n/profile child-name Xiaoming\n/profile child-birth-date 2020-01-01\n/profile child-gender male\n```\n\n## Step 3: Calculate Age and Months\n\n```javascript\nbirthDate = profile.child_birth_date\ntoday = new Date()\n\nageMonths = (today - birthDate) / (30.44 * 24 * 60 * 60 * 1000)\n\n// Prematurity correction (<37 weeks, correct until 2 years)\nif gestational_age < 37 && ageMonths <= 24:\n correctedAgeMonths = ageMonths - (40 - gestational_age) * 4\nelse:\n correctedAgeMonths = ageMonths\n```\n\n## Step 4: Generate Assessment Questions\n\n### Determine Key Milestones by Age\n\n**6-Month Assessment Example:**\n```\nPlease assess whether milestones are achieved (yes/no):\n\nGross Motor (6 months)\n Can sit briefly without support\n Can support self on hands during tummy time\n Can roll from back to tummy\n\nFine Motor (6 months)\n Can reach for objects\n Can transfer items between hands\n Can pinch with thumb and finger\n\nLanguage (6 months)\n Can make single syllable sounds (ma/ba etc.)\n Responds to sounds\n Can turn toward sound source\n\nSocial (6 months)\n Shows stranger anxiety\n Laughs out loud\n Can express happiness/anger\n\nCognitive (6 months)\n Looks for dropped objects\n Can distinguish familiar/stranger faces\n```\n\n## Step 5: Generate Assessment Report\n\n### Developmental Assessment Grading\n\n| Assessment Result | Condition |\n|-------------------|-----------|\n| Normal | All domains meet age standards |\n| Possible delay | 1-2 months behind |\n| Significant delay | 3+ months behind |\n\n### Normal Assessment Report Example:\n```\nDevelopmental Assessment - Normal\n\nAssessment Information:\nChild: Xiaoming\nAge: 6 months\nCorrected age: 6 months\nAssessment date: July 1, 2025\n\nGross Motor Development:\n Sitting alone: Achieved (at 5 months)\n Rolling over: Achieved (at 4 months)\n Tummy time support: Achieved\n Assessment: Normal\n\nFine Motor:\n Reaching for objects: Achieved\n Transferring between hands: Achieved\n Pincer grasp: Not achieved (normal, ~9 months)\n Assessment: Normal\n\nComprehensive Assessment:\n Normal development\n All developmental domains within normal range, no significant delays detected.\n\nRecommendations:\n Continue observation and recording\n Provide rich environmental stimulation\n Interact and communicate with child frequently\n Regular developmental assessments\n```\n\n## Step 6: Save Data\n\nSave to `data/child-development-tracker.json`, including:\n- child_profile: Child basic information\n- developmental_tracking.assessments: Assessment records\n- milestone_achievement: Milestone achievement statistics\n- alerts: Developmental warnings\n- statistics: Statistical information\n\n## Key Milestones by Age\n\n### 0-3 Months (Early Infancy)\n| Age | Gross Motor | Fine Motor | Language | Social |\n|-----|-------------|------------|----------|--------|\n| 1 month | Lift head briefly | Eyes follow | Cooing | Gaze at faces |\n| 2 months | Lift head 45° during tummy time | Hands together | Laugh | Social smile |\n| 3 months | Lift head 90° during tummy time | Grab rattle | Smile at face | Smile at face |\n\n### 4-6 Months (Mid Infancy)\n| Age | Gross Motor | Fine Motor | Language | Social |\n|-----|-------------|------------|----------|--------|\n| 4 months | Head steady, roll | Reach for objects | Squeal | Laugh aloud |\n| 5 months | Sit with support | Pincer grasp | Turn to sound | Recognize strangers |\n| 6 months | Sit briefly | Transfer objects | Single syllables | Stranger anxiety |\n\n### Developmental Delay Standards\n\n| Domain | Mild Delay | Significant Delay | Severe Delay |\n|--------|------------|------------------|---------------|\n| Gross motor | 1-2 months behind | 3-4 months behind | >4 months behind |\n| Fine motor | 1-2 months behind | 3-4 months behind | >4 months behind |\n| Language | 1-2 months behind | 3-4 months behind | >4 months behind |\n| Social/Cognitive | 1-2 months behind | 3-4 months behind | >4 months behind |\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Calculate age and corrected age (if applicable)\n3. Execute corresponding function based on operation type\n4. Generate assessment report\n5. Save to data/child-development-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No developmental disability diagnosis\n- No future developmental level prediction\n- No substitute for professional developmental assessment\n- No intervention training program recommendations\n\n### System Can\n- Developmental milestone tracking\n- Developmental delay screening\n- Early warning alerts\n- Assessment history records\n\n## Important Notice\n\nThis system is for developmental milestone recording and reference only, **cannot replace professional medical diagnosis**.\n\nDevelopment has individual variations; being 1-2 months behind may be normal variation.\n\nIf significant developmental delay is found or you have concerns about development, **please consult a child health specialist or developmental behavioral pediatrician promptly**.\n\nFile v0.1.0:skills/child-illness/SKILL.md\n\n---\nname: child-illness\ndescription: Track child illness, symptoms, fever management, and medication records. Use when user mentions child sickness, fever, cough, cold, or disease.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-illness/schema.json\n---\n\n# Child Illness Management Skill\n\nChild common illness recording, symptom tracking and home care management, providing fever management, medication logging and recovery tracking.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Collect Illness Information → Generate Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log illness |\n| symptom | symptom | Log symptoms |\n| fever | fever | Fever management |\n| medicine | medicine | Medication log |\n| recovery | recovery | Recovery tracking |\n| frequency | frequency | Illness frequency |\n| history | history | Historical records |\n\n### Illness Type Recognition\n\n| Keywords | Illness Type | Common Symptoms |\n|----------|--------------|-----------------|\n| cold, 感冒, 上感, 流鼻涕, 鼻塞 | Acute upper respiratory infection | Fever, cough, runny nose, sore throat |\n| bronchitis, 支气管炎 | Acute bronchitis | Cough, sputum, fever |\n| pneumonia, 肺炎 | Pneumonia | High fever, cough, difficulty breathing |\n| gastroenteritis, 肠炎, 拉肚子, 腹泻 | Acute gastroenteritis | Vomiting, diarrhea, fever |\n| HFMD, 手足口 | Hand, foot and mouth disease | Rash, fever, oral ulcers |\n| chickenpox, 水痘 | Chickenpox | Rash, fever, itching |\n| flu, 流感 | Influenza | High fever, body aches, fatigue |\n| otitis media, 中耳炎, 耳朵痛 | Acute otitis media | Ear pain, fever |\n| allergic rhinitis, 过敏鼻炎 | Allergic rhinitis | Sneezing, runny nose, nasal itching |\n\n## Step 2: Check Information Completeness\n\n### record Operation Required:\n- Symptom description (can infer from user input)\n- Onset date (defaults to today)\n\n### fever Operation Required:\n- Temperature value\n\n### medicine Operation Required:\n- Medication name\n- Dosage\n\n## Step 3: Interactive Prompts (When Information Insufficient)\n\n### When Missing Symptom Details:\n```\nPlease provide following information (can skip):\n\n1. Main symptoms: (e.g., fever, cough, runny nose)\n2. Onset date: (defaults to today)\n3. Severity: (mild/moderate/severe)\n4. Medical consultation: (yes/no)\n\nEnter /done to complete recording\n```\n\n### When Fever Recording Missing Temperature:\n```\nPlease enter current temperature (e.g., 38.5)\n```\n\n## Step 4: Generate Assessment Report\n\n### Temperature Grade Standard\n\n| Temperature Grade | Standard Range |\n|-------------------|----------------|\n| Normal | < 37.3 |\n| Low-grade fever | 37.3 - 38.0 |\n| Moderate fever | 38.1 - 39.0 |\n| High fever | 39.1 - 41.0 |\n| Very high fever | > 41.0 |\n\n### Illness Record Report Example:\n```\nIllness record saved\n\nIllness Information:\nChild: Xiaoming\nAge: 2 years 5 months\nRecord date: January 14, 2025\n\nIllness: Acute upper respiratory infection\nType: Viral cold\nSeverity: Mild\n\nSymptoms:\n Fever (peak 38.5)\n Cough (dry)\n Runny nose (clear)\n Mild sore throat\n\nHome Care Recommendations:\n\nFever Management:\n Use antipyretic when temperature > 38.5\n Plenty of water/milk\n Loose, breathable clothing\n Regular temperature monitoring\n\nWarning Signs:\nSeek immediate medical care if:\n Difficulty breathing or rapid breathing\n Persistent high fever > 3 days\n Poor mental status\n Refusing to eat or significantly reduced urine output\n\nData saved\n```\n\n## Step 5: Save Data\n\nSave to `data/child-illness-tracker.json`, including:\n- child_profile: Child basic information\n- illness_records: Illness records\n- symptom_history: Symptom history\n- fever_tracking: Temperature tracking\n- medication_log: Medication log\n- statistics: Statistical information\n\n## Common Illness Care Points\n\n### Acute Upper Respiratory Infection (Cold)\n- Cause: Viral infection\n- Course: 7-10 days\n- Care: Rest, plenty of fluids, symptomatic treatment\n- Seek care indicators: Fever > 3 days, difficulty breathing, poor mental status\n\n### Acute Gastroenteritis\n- Symptoms: Vomiting, diarrhea\n- Care focus: Prevent dehydration (oral rehydration solution)\n- Diet: Bland, small frequent meals\n\n### Hand, Foot and Mouth Disease\n- Symptoms: Fever + rash (hands, feet, mouth)\n- Contagious: High, requires isolation\n- Course: 7-10 days\n\n## Fever Management Principles\n\n### Medication Fever Reduction\n- Ibuprofen (>6 months): 5-10mg/kg, every 6-8 hours\n- Acetaminophen (>3 months): 10-15mg/kg, every 4-6 hours\n- Maximum 4 times daily\n\n### Avoid Using\n- Aspirin (contraindicated in children)\n- Steroid fever reduction\n- Alcohol sponge bath\n\n### Warning Signs\n- Temperature >= 39 for 24 hours\n- Febrile seizures\n- Poor mental status, drowsiness\n- Difficulty breathing\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Execute corresponding function based on operation type\n3. Generate care recommendation report\n4. Save to data/child-illness-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No illness diagnosis\n- No specific medication brand recommendations\n- No prescribing\n- No emergency handling\n\n### System Can\n- Illness recording and tracking\n- Symptom change monitoring\n- Fever management recording\n- Medication time logging\n- Recovery progress tracking\n- Illness frequency statistics\n\n## Important Notice\n\nThis system is for illness recording and home care reference only, **cannot replace professional medical diagnosis and treatment**.\n\nIf following conditions occur, **seek immediate medical care**:\n- Persistent high fever > 3 days\n- Difficulty breathing or rapid breathing\n- Poor mental status, drowsiness\n- Persistent crying unable to be soothed\n- Refusing to eat or significantly reduced urine output\n- Rash or seizures\n\nFor emergencies, **immediately call 120**.\n\nFile v0.1.0:skills/child-mental/SKILL.md\n\n---\nname: child-mental\ndescription: Child mental health screening, mood tracking, behavior assessment, anxiety and ADHD screening. Use when user mentions child emotions, behavior, attention, mood swings, or mental concerns.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-mental/schema.json\n---\n\n# Child Mental Health Skill\n\nChild mental health assessment, mood tracking and behavior problem screening, providing preliminary assessment for anxiety, attention and other areas.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Determine Assessment Items by Age → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log comprehensive assessment |\n| mood | mood | Mood tracking |\n| behavior | behavior | Behavior assessment |\n| anxiety | anxiety | Anxiety screening |\n| adhd | adhd | Attention screening (ADHD) |\n| report | report | Comprehensive report |\n| history | history | Historical records |\n\n### Mood Keyword Mapping\n\n| Input | mood |\n|------|------|\n| happy | happy |\n| calm | calm |\n| sad | sad |\n| angry | angry |\n| excited | excited |\n| anxious | anxious |\n\n## Step 2: Check Information Completeness\n\n### Required (prompt to set if missing):\n- Child name (from data/profile.json)\n- Birth date (from data/profile.json)\n- Gender (from data/profile.json)\n\n## Step 3: Determine Assessment Items by Age\n\n| Age | Assessment Focus |\n|-----|------------------|\n| 0-3 years | Emotional response, attachment, behavior patterns |\n| 3-6 years | Emotional expression, social behavior, attention |\n| 6-12 years | Emotional regulation, learning behavior, peer relationships |\n| 12-18 years | Emotional management, self-awareness, stress coping |\n\n## Step 4: Generate Assessment Report\n\n### Mood State Assessment\n\n| Overall Mood | Condition |\n|--------------|------------|\n| Stable | Appropriate emotional responses, self-regulation |\n| Fluctuating | Rapid mood changes, unpredictable |\n| Unstable | Difficulty self-soothing, frequent crying |\n\n### Behavior Assessment Grading\n\n| Assessment Result | Condition |\n|-------------------|-----------|\n| Normal | All behavior domains age-appropriate |\n| Mild problems | 1-2 domains with mild difficulties |\n| Significant problems | Multiple domains with significant difficulties |\n\n### Normal Assessment Report Example:\n```\nMental health assessment saved\n\nAssessment Information:\nChild: Xiaoming\nAge: 2 years 5 months\nAssessment date: January 14, 2025\n\nMood State:\n Overall mood: Stable\n Emotional expression: Rich and appropriate\n Emotional regulation: Good\n\nBehavior Assessment:\n Overall behavior: Normal\n Activity level: Moderate\n Attention: Good\n Compliance: Good\n Aggressive behavior: None\n\nComprehensive Assessment:\n Normal mental development\n\nRecommendations:\n Continue providing loving environment\n More companionship and interaction\n Establish regular daily routine\n\nData saved\n```\n\n## Step 5: Save Data\n\nSave to `data/child-mental-tracker.json`, including:\n- child_profile: Child basic information\n- assessments: Assessment records\n- mood_tracking: Mood tracking\n- behavior_tracking: Behavior tracking\n- statistics: Statistical information\n\n## Anxiety Screening Items\n\n### Separation Anxiety\n- Crying when separated from parents\n- Worrying parents won't return\n- Refusing to go to school\n- Physical symptoms when leaving home\n\n### Social Anxiety\n- Fear of unfamiliar environments\n- Reluctance to interact with others\n- Fear of being watched\n- Avoiding social situations\n\n### Generalized Anxiety\n- Excessive worrying\n- Muscle tension\n- Sleep difficulties\n- Easy fatigue\n\n## ADHD Screening Scoring Standard\n\n| Total Score | Assessment |\n|-------------|------------|\n| <20 points | Unlikely ADHD |\n| 20-30 points | Possible ADHD, recommend assessment |\n| >30 points | Highly suspected ADHD, recommend professional assessment |\n\n## Mental Health Focus by Age\n\n### 0-3 Years (Infancy)\n- Focus: Attachment, emotional response, behavior patterns\n- Common issues: Separation anxiety, sleep problems, feeding problems\n\n### 3-6 Years (Preschool)\n- Focus: Emotional expression, social behavior, self-care skills\n- Common issues: Aggressive behavior, phobias, language problems\n\n### 6-12 Years (School Age)\n- Focus: Learning behavior, peer relationships, self-awareness\n- Common issues: Learning difficulties, ADHD, anxiety\n\n### 12-18 Years (Adolescence)\n- Focus: Emotional management, self-identity, stress coping\n- Common issues: Depression, anxiety, behavior problems\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Determine assessment items based on age and operation type\n3. Generate assessment report\n4. Save to data/child-mental-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No mental disorder diagnosis\n- No psychiatric medication recommendations\n- No psychotherapy provision\n- No crisis situation handling\n\n### System Can\n- Mental health assessment recording\n- Symptom screening reference\n- Mood tracking\n- Trend analysis\n- Medical consultation recommendations\n\n## Important Notice\n\nThis system is for mental health recording and screening reference only, **cannot replace professional psychological assessment and diagnosis**.\n\nIf following conditions occur, **seek immediate professional help**:\n- Thoughts or behaviors of harming self or others\n- Extreme emotional outbursts\n- Complete non-compliance with instructions\n- Complete social withdrawal\n- Severe changes in sleep or appetite\n- Hallucinations or delusions\n\nFor emergencies, **immediately call 120 or go to nearest hospital**.\n\nFile v0.1.0:skills/child-nutrition/SKILL.md\n\n---\nname: child-nutrition\ndescription: Track child diet, nutrition assessment, picky eating management, and dietary advice. Use when user mentions child eating, meals, nutrition, vitamins, or feeding issues.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-nutrition/schema.json\n---\n\n# Child Nutrition Assessment Skill\n\nChild diet recording, nutrition assessment and picky eating management, providing age-specific nutritional needs and dietary recommendations.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Determine Nutritional Needs by Age → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log diet |\n| pickyeater | pickyeater | Picky eating assessment |\n| growth | growth | Growth nutrition assessment |\n| deficiency | deficiency | Nutritional deficiency screening |\n| advice | advice | Dietary recommendations |\n| history | history | Historical records |\n\n### Food Category Recognition\n\n| Keywords | category |\n|----------|----------|\n| rice, noodles, bread, porridge, 米饭, 面条 | grain |\n| beef, pork, chicken, fish, eggs, 牛肉, 猪肉, 鸡肉, 鱼, 蛋 | protein |\n| milk, yogurt, cheese, 牛奶, 酸奶, 奶酪 | dairy |\n| vegetables, 青菜, 白菜, 菠菜, 胡萝卜, 黄瓜 | vegetable |\n| apple, banana, orange, pear, 苹果, 香蕉, 橙子, 梨 | fruit |\n| nuts, peanuts, 坚果, 花生 | nuts |\n\n## Step 2: Check Information Completeness\n\n### record Operation:\n- Diet information (can infer from user input)\n\n### Other Operations:\n- Only require child basic information\n\n## Step 3: Determine Nutritional Needs by Age\n\n| Age | Energy(kcal/day) | Protein(g/day) | Calcium(mg/day) | Iron(mg/day) |\n|-----|------------------|----------------|-----------------|--------------|\n| 1-3 years | 1000-1400 | 25-30 | 600 | 9 |\n| 4-6 years | 1400-1600 | 30-35 | 800 | 10 |\n| 7-10 years | 1600-2000 | 35-40 | 1000 | 13 |\n| 11-14 years | 2000-2500 | 50-60 | 1200 | 15-18 (male) / 12-15 (female) |\n\n## Step 4: Generate Assessment Report\n\n### Nutritional Status Assessment\n\n| Assessment Item | Standard |\n|----------------|----------|\n| Energy intake | 80-120% of recommended is normal |\n| Protein | Daily sources: milk, eggs, meat |\n| Calcium | Daily dairy products |\n| Iron | Daily red meat, animal blood |\n| Vitamin C | Daily fruits and vegetables |\n\n### Diet Record Report Example:\n```\nDiet record saved\n\nDiet Information:\nChild: Xiaoming\nAge: 2 years 5 months\nRecord date: January 14, 2025\n\nToday's Diet:\n\nBreakfast (08:00):\n Milk 200ml\n Egg 1\n Bread 1 slice\n Apple half\n\nLunch (12:00):\n Rice 1 small bowl\n Vegetables moderate\n Chicken 50g\n Tomato scrambled eggs\n\nDinner (18:00):\n Noodles 1 small bowl\n Tomato beef\n Cucumber\n\nNutrition Assessment:\n Energy intake: Adequate\n Protein: Adequate (milk, eggs, meat)\n Calcium: Adequate (dairy)\n Iron: Adequate (meat, eggs)\n Vitamin C: Adequate (fruits, vegetables)\n Dietary fiber: Adequate (vegetables, fruits)\n\nWater Intake:\n Today's water: ~800ml\n Recommended: 1000-1300ml/day\n Assessment: Basically adequate\n\nOverall Evaluation:\n Balanced diet, adequate nutrition\n\nRecommendations:\n Continue current eating habits\n Increase water intake appropriately\n\nData saved\n```\n\n## Step 5: Save Data\n\nSave to `data/child-nutrition-tracker.json`, including:\n- child_profile: Child basic information\n- dietary_records: Diet records\n- picky_eating: Picky eating status\n- nutritional_assessment: Nutrition assessment\n- statistics: Statistical information\n\n## Picky Eating Assessment Standard\n\n| Picky Eating Degree | Condition |\n|---------------------|-----------|\n| None | Accepts all food types |\n| Mild | Refuses 1-2 food types |\n| Moderate | Refuses 3-5 food types, affects nutrition |\n| Severe | Refuses >5 food types, nutrition affected |\n\n## Nutritional Deficiency Symptoms\n\n### Iron Deficiency\n- Pale complexion\n- Poor appetite\n- Easy fatigue\n- Poor concentration\n- Pica (eating non-food items)\n\n### Calcium Deficiency\n- Teeth grinding at night\n- Excessive sweating\n- Night terrors\n- Growth delay\n- Multiple cavities\n\n### Vitamin D Deficiency\n- Occipital balding\n- Night terrors/excessive sweating\n- Delayed teething\n- Square skull/pigeon chest\n- Bow legs/X-legs\n\n### Zinc Deficiency\n- Poor appetite\n- Diminished taste\n- Slow wound healing\n- White spots on nails\n- Low immunity\n\n## Nutrition Focus by Age\n\n### 1-3 Years (Toddler)\n- Milk volume: 400-500ml/day\n- Main meals: 3 times\n- Snacks: 2 times\n- Food texture: Gradually transition to solid foods\n\n### 3-6 Years (Preschool)\n- Milk volume: 300-400ml/day\n- Main meals: 3 times\n- Snacks: 1-2 times\n- Note: Food variety, prevent picky eating\n\n### 6-12 Years (School Age)\n- Milk volume: 300ml/day\n- Main meals: 3 times\n- Snacks: 1 time\n- Note: Important breakfast, balanced nutrition\n\n## Common Nutrient Sources\n\n| Nutrient | Sources |\n|----------|---------|\n| Protein | Meat, fish, eggs, milk, beans |\n| Calcium | Dairy, soy products, leafy greens |\n| Iron | Red meat, animal blood, liver |\n| Zinc | Shellfish, lean meat, nuts |\n| Vitamin A | Animal liver, carrots, dark vegetables |\n| Vitamin C | Citrus, kiwi, bell peppers |\n| Vitamin D | Sunlight, cod liver oil, fortified foods |\n| Dietary fiber | Whole grains, vegetables, fruits |\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Determine nutritional needs based on age\n3. Analyze diet information or generate recommendations\n4. Save to data/child-nutrition-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No malnutrition diagnosis\n- No nutritional supplement brand recommendations\n- No prescribing\n- No severe malnutrition handling\n\n### System Can\n- Diet recording and tracking\n- Nutritional intake assessment\n- Picky eating management recommendations\n- Nutritional deficiency screening\n- Dietary recommendation education\n\n## Important Notice\n\nThis system is for diet recording and nutrition reference only, **cannot replace professional nutritional assessment and diagnosis**.\n\nIf following conditions occur, **please consult pediatrician or nutritionist**:\n- Growth delay\n- Significant underweight or overweight\n- Severe picky eating affecting growth\n- Suspected nutritional deficiency symptoms\n\nFile v0.1.0:skills/child-safety/SKILL.md\n\n---\nname: child-safety\ndescription: Child safety assessment, accident prevention, and risk evaluation for home, car, water, food, and outdoor scenarios. Use when user mentions child safety, babyproofing, or accident prevention.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-safety/schema.json\n---\n\n# Child Safety Assessment Skill\n\nChild accident prevention and safety risk assessment, covering home, traffic, food, water and other scenarios, providing age-appropriate safety recommendations.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Determine Check Items by Age → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | area |\n|------|--------|------|\n| record | record | home/car/water/food/outdoor |\n| check | check | home/car/specified area |\n| risk | risk | fall/burn/poisoning/drowning etc. |\n| prevent | prevent | - |\n| emergency | emergency | cpr/specified first aid type |\n| checklist | checklist | - |\n\n### Safety Area Mapping\n\n| Input | area | Description |\n|------|------|-------------|\n| home, 家庭, 家里 | home | Home safety |\n| car, 汽车, 安全座椅 | car | Traffic/car safety |\n| water, 水上, 洗澡, 游泳 | water | Water safety |\n| food, 吃东西, 窒息 | food | Food/eating safety |\n| outdoor, 户外, 外面 | outdoor | Outdoor safety |\n\n### Risk Type Mapping\n\n| Input | risk_type |\n|------|-----------|\n| fall | fall |\n| burn | burn |\n| poisoning | poisoning |\n| drowning | drowning |\n| choke | choke |\n| traffic | traffic |\n\n## Step 2: Check Information Completeness\n\n### Required (prompt to set if missing):\n- Child name (from data/profile.json)\n- Birth date (from data/profile.json)\n- Gender (from data/profile.json)\n\n## Step 3: Determine Check Items by Age\n\n### 0-6 Months (Infancy)\n- Home: Crib safety, sleep position, suffocation prevention\n- Holding: Head support\n- Temperature regulation\n\n### 6-12 Months (Crawling)\n- Home: Outlet covers, corner guards, stair gates\n- Small objects: Choking prevention\n- Burn protection\n\n### 1-3 Years (Toddler)\n- Home: Window/door locks, drawer locks, balcony protection\n- Kitchen: Knife/chemical storage\n- Bathroom: Non-slip, drowning prevention\n\n### 3-6 Years (Preschool)\n- Traffic: Car seat/booster\n- Outdoor: Getting lost prevention\n- Sports: Protective gear\n\n## Step 4: Generate Safety Assessment Questions\n\n### Home Safety Check Example (1-3 Years):\n```\nPlease answer following safety questions (yes/no):\n\n1. Are all outlets covered with protectors?\n2. Are furniture sharp corners fitted with guards?\n3. Are windows fitted with guards or limiters?\n4. Are cleaning products/medications stored out of reach?\n5. Is bathroom fitted with non-slip mat?\n```\n\n## Step 5: Calculate Safety Score\n\n```javascript\nsafeCount = Number of \"yes\" answers\ntotalCount = Total questions\nsafetyScore = (safeCount / totalCount) * 100\n\nif safetyScore >= 90:\n level = \"excellent\" // Excellent\nelse if safetyScore >= 70:\n level = \"good\" // Good\nelse if safetyScore >= 50:\n level = \"needs_attention\" // Needs attention\nelse:\n level = \"high_risk\" // High risk\n```\n\n## Step 6: Generate Assessment Report\n\n### Excellent Assessment Report Example:\n```\nHome Safety Assessment - Excellent\n\nAssessment Information:\nChild: Xiaoming\nAge: 2 years 5 months\nAssessment date: January 14, 2025\nAssessment area: Home safety\n\nAssessment Result:\nSafety Level: Excellent\nSafety Score: 90/100\n\nCheck Items:\n Outlet protection: Protectors installed\n Corner protection: Furniture sharp corners addressed\n Window/door protection: Window limiters installed\n Hazard storage: Medications/cleaning products stored\n Bathroom safety: Non-slip mat installed\n\nRecommendations:\n Continue good safety habits\n Regularly check safety equipment\n Adjust measures as child grows\n\nData saved\n```\n\n### Needs Attention Example:\n```\nHome Safety Assessment - Needs Attention\n\nAssessment Information:\nChild: Xiaoming\nAge: 2 years 5 months\n\nAssessment Result:\nSafety Level: Needs Attention\nSafety Score: 60/100\n\nCheck Items:\n Outlet protection: Protectors installed\n Corner protection: Furniture sharp corners addressed\n Window/door protection: Windows lack protection\n Hazard storage: Medications within reach\n Bathroom safety: Non-slip mat installed\n\nNeeds Improvement:\n Urgent: Install window guards/limiters\n Urgent: Move medications to high/locked cabinet\n\nRecommended Actions:\n 1. Install window protection immediately\n 2. Purchase medication safety storage box\n 3. Check all windows for safety\n\nData saved\n```\n\n## Step 7: Save Data\n\nSave to `data/child-safety-tracker.json`, including:\n- child_profile: Child basic information\n- safety_assessments: Safety assessment records\n- emergency_contacts: Emergency contacts\n- statistics: Statistical information\n\n## First Aid Key Points\n\n### Choking First Aid (Heimlich Maneuver)\n- Infant (<1 year): 5 back blows + 5 chest thrusts\n- Child (>1 year): Abdominal thrusts\n\n### High Fever Handling\n- Temperature > 38.5: Administer antipyretic\n- Physical cooling: Warm sponge bath\n- Plenty of fluids\n\n### Fall Handling\n- Check consciousness\n- Observe wound\n- Cold compress swelling\n- Seek immediate care if vomiting/drowsy\n\n### Burn Handling\n- Rinse with cool water 15-20 minutes immediately\n- Do not break blisters\n- Do not apply toothpaste etc.\n\n### Poison Ingestion\n- Call 120 immediately\n- Bring ingested item packaging\n- Do not induce vomiting (unless instructed by doctor)\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Determine check items based on age and area\n3. Generate interactive safety questions\n4. Calculate safety score\n5. Save to data/child-safety-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No safety guarantees\n- No substitute for professional safety inspection\n- No emergency handling (direct to medical/emergency services)\n\n### System Can\n- Safety risk assessment\n- Prevention recommendation education\n- First aid information reference\n- Safety checklist\n\n## Important Notice\n\nThis system is for child safety assessment and prevention recommendations only, **cannot replace professional safety inspection and first aid training**.\n\nFor all emergencies, **immediately call 120**.\n\nEmergency numbers:\n- Emergency: 120\n- Fire: 119\n- Police: 110\n\nFile v0.1.0:skills/child-sleep/SKILL.md\n\n---\nname: child-sleep\ndescription: Track child sleep patterns, manage sleep schedules, and identify sleep problems. Use when user mentions child sleep, bedtime, waking up, nap, or sleep issues.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-sleep/schema.json\n---\n\n# Child Sleep Management Skill\n\nChild sleep recording, schedule management and sleep problem identification, providing age-specific sleep duration references and schedule recommendations.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Determine Sleep Standards by Age → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log sleep |\n| schedule | schedule | Schedule management |\n| problem | problem | Sleep problems |\n| analysis | analysis | Sleep analysis |\n| routine | routine | Schedule recommendations |\n| history | history | Historical records |\n\n### Time Recognition\n\n| Input Pattern | Parsed Result |\n|---------------|---------------|\n| 21:00 sleep, bedtime 21:00 | bedtime: 21:00 |\n| 7:00 wake, wake 7:00 | wake_time: 07:00 |\n| woke 1 time, wakeup 1 | night_wakeups: 1 |\n\n## Step 2: Check Information Completeness\n\n### record Operation Required:\n- Bedtime (can infer from input or use default)\n- Wake time (can infer from input or use default)\n\n### Optional Information:\n- Night wakeups\n- Time to fall asleep\n- Sleep quality description\n\n## Step 3: Determine Sleep Standards by Age\n\n| Age | Recommended Total Sleep | Night Sleep | Daytime Naps | Nap Count |\n|-----|-------------------------|-------------|--------------|-----------|\n| 0-3 months | 14-17 hours | 8-10 hours | 6-7 hours | 3-4 naps |\n| 4-12 months | 12-16 hours | 9-12 hours | 3-4 hours | 2-3 naps |\n| 1-2 years | 11-14 hours | 10-12 hours | 1.5-3 hours | 1-2 naps |\n| 3-5 years | 10-13 hours | 10-12 hours | 0-2 hours | 0-1 naps |\n| 6-12 years | 9-12 hours | 9-12 hours | 0 | 0 naps |\n| 13-18 years | 8-10 hours | 8-10 hours | 0 | 0 naps |\n\n## Step 4: Generate Assessment Report\n\n### Sleep Quality Assessment\n\n| Assessment Item | Standard |\n|----------------|----------|\n| Sleep duration | Within recommended range is normal |\n| Time to fall asleep | Within 30 minutes is normal |\n| Night wakeups | 0-1 times is normal (more for <1 year) |\n| Sleep quality | Good energy, normal development is good |\n\n### Normal Sleep Report Example:\n```\nSleep record saved\n\nSleep Information:\nChild: Xiaoming\nAge: 2 years 5 months\nSleep date: Night of January 13, 2025\n\nBedtime: 21:00\nAsleep time: 21:30\nWake time: 07:00\nTotal sleep duration: 9.5 hours\n\nNight Status:\n Night wakeups: 1 time\n Wake duration: ~10 minutes\n Falling asleep: Self-soothing\n Sleep quality: Good\n\nSleep Assessment:\n Sleep duration normal (recommended 10-12 hours)\n Appropriate bedtime\n Normal night wakeups\n Good sleep quality\n\nDaytime Naps:\n Nap count: 1 time\n Nap duration: ~2 hours\n Total sleep (including naps): ~11.5 hours\n\nSchedule Recommendations:\n Continue current schedule\n Establish consistent bedtime routine\n Create good sleep environment\n\nData saved\n```\n\n### Sleep Insufficient Example:\n```\nSleep Insufficient Alert\n\nSleep Information:\nChild: Xiaoming\nAge: 2 years 5 months\nSleep date: Night of January 13, 2025\n\nBedtime: 22:00\nAsleep time: 23:00\nWake time: 06:30\nTotal sleep duration: 7.5 hours\n\nSleep Assessment:\n Insufficient sleep duration (recommended 10-12 hours)\n Late bedtime\n Difficulty falling asleep\n Frequent night wakeups\n\nPossible Impact:\n Poor daytime energy\n Irritability\n Decreased appetite\n Lowered immunity\n\nImprovement Recommendations:\n\nAdjust Schedule\n Start bedtime routine 30 minutes early\n Fixed bedtime (20:30-21:00)\n\nOptimize Bedtime Routine\n Stop screen time 1 hour before\n Quiet activities (picture books, warm bath)\n Fixed routine order\n\nImprove Sleep Environment\n Room temperature 20-22°C\n Keep dark and quiet\n Comfortable bedding\n\nIf sleep deprivation persists:\n Consult pediatrician to rule out sleep disorders etc.\n\nData saved\n```\n\n## Step 5: Save Data\n\nSave to `data/child-sleep-tracker.json`, including:\n- child_profile: Child basic information\n- sleep_records: Sleep records\n- sleep_schedule: Schedule\n- bedtime_routine: Bedtime routine\n- sleep_problems: Sleep problem records\n- statistics: Statistical information\n\n## Common Sleep Problems\n\n### Difficulty Falling Asleep\n- Presentation: Cannot fall asleep 30+ minutes after bedtime\n- Possible causes: Irregular schedule, over-tiredness, sleep environment\n- Recommendations: Fixed schedule, start bedtime routine early\n\n### Frequent Night Waking\n- Presentation: Waking 2+ times nightly\n- Possible causes: Hunger, discomfort, habitual waking\n- Recommendations: Identify cause, gradually reduce intervention\n\n### Early Rising\n- Presentation: Waking before 6am and unable to return to sleep\n- Possible causes: Sleep environment, schedule arrangement\n- Recommendations: Adjust bedtime, block morning light\n\n### Refusing Naps\n- Presentation: Unwilling to nap during day\n- Possible causes: Developmental stage, high energy\n- Recommendations: Maintain quiet time, not force naps\n\n### Night Terrors/Nightmares\n- Presentation: Terrified crying at night\n- Possible causes: Developmental stage, over-tiredness\n- Recommendations: Soothe, don't wake\n\n## Bedtime Routine Recommendations (2-3 Years)\n\n### 1 Hour Before (20:00)\n- Stop screen time\n- Stop vigorous activities\n- Switch to quiet mode\n\n### 30 Minutes Before (20:30)\n- Put away toys\n- Use toilet, drink water\n- Prepare for bath\n\n### Bath Time (20:40)\n- Warm bath (10-15 minutes)\n- Put on pajamas/diaper\n\n### Quiet Activities (21:00)\n- Bedtime storybooks (2-3 books)\n- Soft talking/singing\n- Goodnight ritual\n\n### Bedtime (21:15-21:30)\n- Get into bed, cover with blanket\n- Final comfort\n- Say goodnight, leave room\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Determine sleep standards based on age\n3. Analyze sleep information or generate recommendations\n4. Save to data/child-sleep-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No sleep disorder diagnosis\n- No sleep medication recommendations\n- No handling of severe problems like sleep apnea\n\n### System Can\n- Sleep recording and tracking\n- Sleep pattern analysis\n- Schedule recommendations\n- Common problem guidance\n\n## Important Notice\n\nThis system is for sleep recording and recommendation reference only, **cannot replace professional medical diagnosis**.\n\nIf following conditions occur, **please consult pediatrician**:\n- Snoring with breathing pauses\n- Frequent terrified crying at night\n- Excessive daytime sleepiness\n- Abnormal behaviors during sleep\n- Long-term severe insomnia\n\nFile v0.1.0:skills/child-vaccine/SKILL.md\n\n---\nname: child-vaccine\ndescription: Manage child vaccination schedules, track vaccinations, and get reminders for upcoming or overdue vaccines. Use when user mentions vaccines, immunizations, or vaccination records.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-vaccine/schema.json\n---\n\n# Child Vaccination Skill\n\nChild vaccination schedule management, including national immunization program and optional vaccines, providing vaccination reminders and missed dose warnings.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Generate Vaccination Schedule/Record → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log vaccination |\n| schedule | schedule | View vaccination schedule |\n| due | due | View upcoming vaccinations |\n| overdue | overdue | View missed vaccinations |\n| completed | completed | View completed vaccinations |\n| reaction | reaction | Log adverse reactions |\n| reminder | reminder | Vaccination reminders |\n\n### Vaccine Name Mapping\n\n| Input | vaccine_name | category |\n|------|--------------|----------|\n| Hep B, 乙肝, 乙肝疫苗 | 乙肝疫苗 | class_1 |\n| BCG, 卡介苗 | 卡介苗 | class_1 |\n| Polio, 脊灰, 小儿麻痹症 | 脊灰疫苗 | class_1 |\n| DTP, 百白破 | 百白破疫苗 | class_1 |\n| MMR, 麻腮风 | 麻腮风疫苗 | class_1 |\n| JE, 乙脑 | 乙脑疫苗 | class_1 |\n| Meningococcal A, 流脑, 流脑A群 | 流脑A群疫苗 | class_1 |\n| Meningococcal A+C, 流脑A+C | 流脑A+C群疫苗 | class_1 |\n| Hep A, 甲肝 | 甲肝疫苗 | class_1 |\n| Varicella, 水痘 | 水痘疫苗 | class_2 |\n| PCV13, 肺炎, 13价肺炎 | 13价肺炎疫苗 | class_2 |\n| Pentavalent, 五联疫苗 | 五联疫苗 | class_2 |\n| Rotavirus, 轮状病毒 | 轮状病毒疫苗 | class_2 |\n| Flu, 流感, 流感疫苗 | 流感疫苗 | class_2 |\n| Hib | Hib疫苗 | class_2 |\n| EV71, 手足口 | EV71疫苗 | class_2 |\n\n### Dose Recognition\n\n| Input | dose |\n|------|------|\n| dose 1, 第1针, 1针, 第一针 | 第1针 |\n| dose 2, 第2针, 2针, 第二针 | 第2针 |\n| dose 3, 第3针, 3针, 第三针 | 第3针 |\n| dose 4, 第4针, 4针, 第四针 | 第4针 |\n| dose 5, 第5针, 5针, 第五针 | 第5针 |\n| booster, 加强针, 加强 | 加强针 |\n\n### Status Recognition\n\n| Input | status |\n|------|--------|\n| completed, 已完成, 已接种 | completed |\n| scheduled, 计划, 预约 | scheduled |\n| missed, 漏种 | missed |\n\n## Step 2: Check Information Completeness\n\n### record Operation Required:\n- Vaccine name\n- Dose\n- Vaccination status (defaults to completed)\n- Vaccination date (defaults to today)\n\n## Step 3: Determine Vaccination Schedule by Age\n\n### National Immunization Program Vaccines (Class 1)\n\n| Age | Vaccines |\n|-----|----------|\n| Birth | Hep B (dose 1), BCG |\n| 1 month | Hep B (dose 2) |\n| 2 months | Polio (dose 1) |\n| 3 months | Polio (dose 2), DTP (dose 1) |\n| 4 months | Polio (dose 3), DTP (dose 2) |\n| 5 months | DTP (dose 3) |\n| 6 months | Hep B (dose 3), Meningococcal A (dose 1) |\n| 8 months | MMR (dose 1), JE (dose 1) |\n| 9 months | Meningococcal A (dose 2) |\n| 18 months | DTP (dose 4), MMR (dose 2), Hep A |\n| 2 years | JE (dose 2) |\n| 3 years | Meningococcal A+C (dose 1) |\n| 4 years | Polio (dose 4) |\n| 6 years | DTP (dose 5), Meningococcal A+C (dose 2) |\n\n### Optional Vaccines (Class 2 - Self-pay, Voluntary)\n\n| Vaccine | Vaccination Time |\n|---------|------------------|\n| Varicella | 12 months, 4 years |\n| PCV13 | 2, 4, 6 months + 12-15 months |\n| Pentavalent | 2, 3, 4, 18 months |\n| Rotavirus | 2, 3 months |\n| Influenza | From 6 months, annually |\n| Hib | 2, 3, 4, 18 months |\n| EV71 | 6 months - 5 years |\n\n## Step 4: Generate Vaccination Report\n\n### Record Vaccination Example:\n```\nVaccination recorded\n\nVaccine Information:\n Vaccine: Hepatitis B\n Dose: Dose 1\n Vaccination date: January 1, 2020\n Category: Class 1 vaccine\n\nVaccination Progress:\n Completed: 1/3 doses\n\nNext Vaccination:\n February 1, 2020 (1 month later)\n Hepatitis B Dose 2\n\nImportant Notice:\nThis system is for vaccination recording only, cannot replace professional medical advice.\n\nAll vaccinations should be done at vaccination clinics.\nInform doctor of child's health status before vaccination.\n\nData saved\n```\n\n### View Vaccination Schedule Example:\n```\nChild Vaccination Schedule\n\nChild Information:\n Name: Xiaoming\n Birth date: January 1, 2020\n Current age: 5 years 5 months\n\nClass 1 Vaccination Schedule:\n\n 2020-01-01 (Completed)\n Hepatitis B Dose 1\n BCG Dose 1\n\n 2020-02-01 (Completed)\n Hepatitis B Dose 2\n\n...\n\n 2025-08-01 (42 days away)\n Meningococcal A Dose 1\n\nClass 2 Vaccines (Recommended):\n\n Varicella\n 12 months, 4 years\n Recommended\n\n PCV13\n 2, 4, 6 months + 12-15 months\n Highly recommended\n\nData saved\n```\n\n## Step 5: Save Data\n\nSave to `data/child-vaccine-tracker.json`, including:\n- child_profile: Child basic information\n- scheduled_vaccines: Scheduled vaccine list\n- upcoming: Upcoming vaccinations\n- overdue: Overdue vaccinations\n- completed: Completed vaccinations\n- reactions: Adverse reaction records\n- statistics: Statistical information\n\n## Adverse Reaction Grading\n\n| Severity | Description |\n|----------|-------------|\n| Mild | Local redness/swelling, low fever, mild irritability |\n| Moderate | Fever > 39, significant discomfort, affects activity |\n| Severe | Severe allergic reaction, seizures, requires medical care |\n\n## Vaccination Reminder Rules\n\n| Advance Time | Reminder Type |\n|--------------|---------------|\n| Within 7 days | Upcoming vaccination |\n| Overdue | Overdue vaccination |\n| Severely overdue > 30 days | Urgent reminder |\n\n## Execution Instructions\n\n1. Read data/profile.json for child information\n2. Calculate vaccination schedule based on birth date\n3. Generate vaccination report or record vaccination\n4. Save to data/child-vaccine-tracker.json\n\n## Medical Safety Principles\n\n### Safety Boundaries\n- No specific vaccine brand recommendations\n- No vaccination contraindication judgment\n- No severe adverse reaction handling\n- No substitute for vaccination clinics\n\n### System Can\n- Vaccination schedule management\n- Vaccination reminders\n- Missed dose warnings\n- Adverse reaction recording\n\n## Important Notice\n\nThis system is for vaccination recording and schedule management only, **cannot replace professional medical advice**.\n\nAll vaccinations should be done at vaccination clinics. **Inform doctor of child's health status** before vaccination.\n\nIf adverse reactions occur, **consult doctor promptly**.\n\nFile v0.1.0:skills/cognitive/SKILL.md\n\n---\nname: cognitive\ndescription: Cognitive function assessment tracking for elderly - MMSE/MoCA tests, cognitive domain evaluation, ADL/IADL assessment, and risk monitoring\nargument-hint: \nallowed-tools: Read, Write\nschema: cognitive/schema.json\n---\n\n# Cognitive Function Assessment Skill\n\nManages cognitive function assessment for the elderly, including MMSE, MoCA tests, cognitive domain evaluation, and daily function assessment.\n\n## Core Flow\n\n```\nUser Input -> Identify Operation Type -> Extract Parameter Info -> Check Completeness -> [Need Supplement] Ask User\n |\n [Information Complete]\n |\n Generate JSON -> Save Data -> Output Confirmation\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Recognition\n\n| Input Keywords | Operation Type | Description |\n|----------------|----------------|-------------|\n| mmse | mmse_test | MMSE Mini-Mental State Examination |\n| moca | moca_test | MoCA Montreal Cognitive Assessment |\n| domain | cognitive_domain | Cognitive domain assessment |\n| adl | adl_assessment | Activities of Daily Living assessment |\n| iadl | iadl_assessment | Instrumental ADL assessment |\n| status | cognitive_status | View cognitive status |\n| trend | trend_analysis | View change trends |\n| risk | risk_assessment | Cognitive function risk assessment |\n\n### Cognitive Domain Keywords Mapping\n\n| Input Keywords | Domain Name |\n|----------------|--------------|\n| memory | memory |\n| executive | executive |\n| language | language |\n| visuospatial | visuospatial |\n\n### Function Status Keywords Mapping\n\n| Input Keywords | Status Value |\n|----------------|--------------|\n| normal | normal |\n| mild | mild_impairment |\n| moderate | moderate_impairment |\n| severe | severe_impairment |\n| independent | independent |\n| needs_assistance | needs_assistance |\n| dependent | dependent |\n| supervision_needed | supervision_needed |\n\n### ADL Item Keywords\n\n| Input Keywords | Item Name |\n|----------------|-----------|\n| bathing | bathing |\n| dressing | dressing |\n| toileting | toileting |\n| transferring | transferring |\n| continence | continence |\n| feeding | feeding |\n\n### IADL Item Keywords\n\n| Input Keywords | Item Name |\n|----------------|-----------|\n| shopping | shopping |\n| cooking | cooking |\n| managing_medications | managing_medications |\n| using_telephone | using_telephone |\n| managing_finances | managing_finances |\n| housekeeping | housekeeping |\n| transportation | transportation |\n| laundry | laundry |\n\n## Step 2: Check Information Completeness\n\n### MMSE Test Required:\n- Total score (0-30 points)\n\n### MoCA Test Required:\n- Total score (0-30 points)\n- Education level (optional, for score adjustment)\n\n### Cognitive Domain Assessment Required:\n- Domain name (memory/executive/language/visuospatial)\n- Function status (normal/mild_impairment/moderate_impairment/severe_impairment)\n\n### ADL/IADL Assessment Required:\n- Item name\n- Function status\n\n## Step 3: Interactive Prompts (If Needed)\n\n### Scenario A: Missing MMSE/MoCA Score\n```\nPlease provide test total score (0-30 points)\n```\n\n### Scenario B: Missing Cognitive Domain Assessment Information\n```\nPlease specify the cognitive domain to assess:\n- memory (memory)\n- executive (executive function)\n- language (language ability)\n- visuospatial (visuospatial ability)\n\nWhat is the function status?\n- normal (normal)\n- mild_impairment (mild impairment)\n- moderate_impairment (moderate impairment)\n- severe_impairment (severe impairment)\n```\n\n### Scenario C: Missing ADL/IADL Items\n```\nPlease provide specific activity items and function status\n```\n\n## Step 4: Generate JSON\n\n### MMSE Test Record\n```json\n{\n \"test_type\": \"mmse\",\n \"date\": \"2025-06-20\",\n \"total_score\": 27,\n \"max_score\": 30,\n \"interpretation\": \"Normal\",\n \"items\": {\n \"orientation\": 10,\n \"registration\": 3,\n \"attention\": 5,\n \"recall\": 3,\n \"language\": 6\n }\n}\n```\n\n### MoCA Test Record\n```json\n{\n \"test_type\": \"moca\",\n \"date\": \"2025-06-20\",\n \"total_score\": 24,\n \"adjusted_score\": 25,\n \"education_years\": 12,\n \"max_score\": 30,\n \"interpretation\": \"Mild Cognitive Impairment\"\n}\n```\n\n### Cognitive Domain Assessment Record\n```json\n{\n \"domain\": \"memory\",\n \"status\": \"mild_impairment\",\n \"assessment_date\": \"2025-06-20\",\n \"notes\": \"Short-term memory impaired, long-term memory preserved\"\n}\n```\n\n### ADL Assessment Record\n```json\n{\n \"activity\": \"bathing\",\n \"status\": \"independent\",\n \"assessment_date\": \"2025-06-20\"\n}\n```\n\nComplete schema definition: see [schema.json](schema.json).\n\n## Step 5: Save Data\n\n1. Read `data/cognitive-assessment.json`\n2. Update corresponding sections based on operation type\n3. Update statistics\n4. Write back to file\n\n## Execution Instructions\n\n```\n1. Identify operation type (mmse/moca/domain/adl/iadl/status/trend/risk)\n2. Extract parameter information (scores, cognitive domains, function status, etc.)\n3. Check required field completeness\n4. If missing, ask user to supplement\n5. Generate JSON compliant with schema.json\n6. Save to data/cognitive-assessment.json\n7. Output confirmation and interpretation results\n```\n\n## Example Interactions\n\n### Example 1: MMSE Test\n```\nUser: mmse score 27\n\nAI: MMSE test result recorded\nTotal score: 27/30\nInterpretation: Normal\nNext assessment: 2026-06-20\n```\n\n### Example 2: Cognitive Domain Assessment\n```\nUser: domain memory mild_impairment\n\nAI: Cognitive domain assessment recorded\nCognitive domain: Memory (memory)\nStatus: Mild impairment (mild_impairment)\n\nCurrently impaired cognitive domain: Memory\n```\n\n### Example 3: ADL Assessment\n```\nUser: adl independent\n\nAI: ADL assessment result recorded\nAll 6 basic activities: Independent\nDependency level: No dependency\n```\n\n### Example 4: View Status\n```\nUser: cognitive status\n\nAI: Cognitive Function Status Report\n━━━━━━━━━━━━━━━━━━━━━━━━\nLatest MMSE: 27/30 (Normal) - 2025-06-20\nLatest MoCA: 24/30 (Mild impairment) - 2025-06-15\n\nCognitive domain status:\n- Memory: Mild impairment\n- Executive function: Normal\n- Language: Normal\n- Visuospatial: Normal\n\nDaily function:\n- ADL: Independent\n- IADL: Needs assistance (2 items)\n```\n\nFor more examples, see [examples.md](examples.md).\n\n## Medical Safety Boundaries\n\n### Cannot Do:\n- Diagnose cognitive impairment or dementia\n- Replace neurologist/geriatrician professional assessment\n- Provide specific medication treatment plans\n\n### Can Do:\n- Cognitive function screening (MMSE/MoCA)\n- Cognitive decline trend tracking\n- Activities of daily living assessment (ADL/IADL)\n- Cognitive domain function assessment\n- Risk warning and medical visit recommendations\n\n### Medical Visit Recommendations:\nSeek medical attention if:\n- MMSE <= 26 points\n- MoCA <= 25 points\n- Multiple cognitive domains impaired\n- ADL/IADL function decline\n- Rapid cognitive decline\n\nFile v0.1.0:skills/consult/SKILL.md\n\n---\nname: consult\ndescription: Multi-disciplinary team consultation (MDT) coordinator for analyzing medical data and generating comprehensive reports\nargument-hint: <数据范围，如：all/recent 5/date 2025-12-31>\nallowed-tools: Read, Write\nschema: consult/schema.json\n---\n\n# Multi-Disciplinary Team Consultation Skill\n\nCoordinate MDT specialist team to analyze patient medical data and generate comprehensive diagnostic reports. |\n\n## 核心流程\n\n```\n用户输入 -> 读取数据索引 -> 确定分析范围 -> 识别专科需求 -> 并行启动专科分析 -> 整合报告 -> 展示结果\n```\n\n## 步骤 1: 解析用户输入\n\n### 数据范围识别\n\n| Input | Analysis Range |\n|------|----------|\n| all | All available data |\n| recent N | Last N records |\n| date YYYY-MM-DD | Specified date data |\n| date YYYY-MM-DD to YYYY-MM-DD | Date range data |\n| no parameters | Last 3 records |\n\n## 步骤 2: 读取数据索引\n\n从 `data/index.json` 读取患者检查记录索引。\n\n### 数据文件类型\n- 检查报告: `data/检查报告/YYYY-MM/YYYY-MM-DD_检查名称.json`\n- 症状记录: `data/health-feeling-logs.json`\n- 慢性病管理: `data/*-tracker.json`\n\n## 步骤 3: 确定会诊专科\n\n### 自动识别规则\n\n根据检查数据和异常指标，确定需要邀请的专科专家：\n\n| 异常指标 | 专科 |\n|---------|------|\n| 血脂异常、心肌酶异常、BNP异常 | 心内科 |\n| 血糖异常、甲状腺功能异常 | 内分泌科 |\n| 肝功能异常、腹部超声异常 | 消化科 |\n| 肾功能异常、尿常规异常 | 肾内科 |\n| 血常规异常、凝血异常 | 血液科 |\n| 胸部CT异常、感染指标异常 | 呼吸科 |\n| 头颅影像异常 | 神经内科 |\n| 肿瘤标志物异常 | 肿瘤科 |\n| 多系统异常 | 全科 (协调员) |\n\n### 专科列表\n\n| 专科代码 | 专科名称 | Skill文件 |\n|---------|---------|-----------|\n| cardio | 心内科 | .claude/specialists/cardiology.md |\n| endo | 内分泌科 | .claude/specialists/endocrinology.md |\n| gastro | 消化科 | .claude/specialists/gastroenterology.md |\n| nephro | 肾内科 | .claude/specialists/nephrology.md |\n| heme | 血液科 | .claude/specialists/hematology.md |\n| resp | 呼吸科 | .claude/specialists/respiratory.md |\n| neuro | 神经内科 | .claude/specialists/neurology.md |\n| onco | 肿瘤科 | .claude/specialists/oncology.md |\n| general | 全科 | .claude/specialists/general.md |\n\n## 步骤 4: 并行启动专科分析\n\n使用 Task 工具并行启动相关专科的 subagent。\n\n### Subagent Prompt 模板\n\n```\n您是{{专科名称}}专家。请按照以下 Skill 定义进行医疗数据分析：\n\n## Skill 定义\n{{读取对应的专科 skill 定义文件}}\n\n## 患者医疗数据\n{{加载相关的检查数据}}\n\n## 分析要求\n1. 严格按照 Skill 定义的格式输出分析报告\n2. **优先分析慢性病管理情况**（如存在）\n3. 结合检查报告数据综合分析\n4. 严格遵守以下安全红线：\n - 不给出具体用药剂量\n - 不直接开具处方药名\n - 不判断生死预后\n - 不替代医生诊断\n5. 提供具体可行的建议\n```\n\n## 步骤 5: 整合会诊报告\n\n### 报告格式\n\n```markdown\n## 多学科会诊(MDT)报告\n\n会诊日期: YYYY-MM-DD\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n### 各专科分析\n\n#### 1. {{专科名称}}\n[专科分析内容...]\n\n#### 2. {{专科名称}}\n[专科分析内容...]\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n### 综合评估\n\n[综合分析...]\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n### 优先级排序\n\n1. [高优先级问题]\n2. [中优先级问题]\n3. [低优先级问题]\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n### 综合建议\n\n#### 生活方式调整\n[具体建议...]\n\n#### 就医建议\n[具体建议...]\n\n#### 随访计划\n[具体计划...]\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n### 重要声明\n\n本报告仅供健康参考，不能替代专业医疗诊断和治疗。\n所有医疗决策请遵从医生指导。\n```\n\n## 安全红线（严格遵守）\n\n1. **不给出具体用药剂量**\n - 错误示例：\"服用阿托伐他汀 20mg 每日1次\"\n - 正确做法：\"建议咨询医生调整降脂药物方案\"\n\n2. **不直接开具处方药名**\n - 错误示例：\"开具阿司匹林肠溶片\"\n - 正确做法：\"建议咨询医生是否需要抗血小板治疗\"\n\n3. **不判断生死预后**\n - 错误示例：\"预后差，生存期不超过6个月\"\n - 正确做法：\"建议积极治疗，定期复查评估疗效\"\n\n4. **不替代医生诊断**\n - 错误示例：\"确诊为冠心病\"\n - 正确做法：\"提示可能存在冠心病风险，建议心内科进一步检查明确诊断\"\n\n## 执行指令\n\n```\n1. 识别数据范围参数\n2. 读取 data/index.json 获取记录列表\n3. 根据数据类型确定需要的专科\n4. 并行启动相关专科 subagent 分析\n5. 收集各专科分析报告\n6. 整合生成综合会诊报告\n7. 向用户展示完整报告\n```\n\n## 示例交互\n\n### 示例 1: 分析所有数据\n```\n用户: /consult all\nAI: 📊 正在启动多学科专家会诊...\n\n 读取数据中...\n 发现异常指标:\n • 血脂异常 → 心内科\n • 血糖偏高 → 内分泌科\n • 肝功能异常 → 消化科\n\n 并行启动专科分析...\n\n [生成完整会诊报告...]\n```\n\n### 示例 2: 分析最近5条记录\n```\n用户: /consult recent 5\nAI: 📊 分析最近5条检查记录...\n\n 涉及专科: 心内科、内分泌科\n\n [生成会诊报告...]\n```\n\n### 示例 3: 分析指定日期数据\n```\n用户: /consult date 2025-12-31\nAI: 📊 分析2025年12月31日的检查数据...\n\n [生成会诊报告...]\n```\n\n## 重要提示\n\n- 本系统仅供健康参考，不能替代专业医疗诊断和治疗\n- 所有医疗决策请遵从医生指导\n- 会诊报告基于提供的检查数据，可能存在局限性\n- 紧急情况请立即就医\n\nFile v0.1.0:skills/copd/SKILL.md\n\n---\nname: copd\ndescription: COPD management - lung function monitoring (FEV1), symptom assessment (CAT, mMRC), exacerbation tracking, and vaccination records\nargument-hint: \nallowed-tools: Read, Write\nschema: copd/schema.json\n---\n\n# COPD Management Skill\n\nLong-term management of Chronic Obstructie Pulmonary Disease (COPD), including lung function monitoring, symptom assessment, and exacerbation prevention.\n\n## Core Flow\n\n```\nUser Input -> Identify Operation Type -> Extract Parameter Info -> Check Completeness -> [Need Supplement] Ask User\n |\n [Information Complete]\n |\n Generate JSON -> Save Data -> Output Confirmation\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Recognition\n\n| Input Keywords | Operation Type | Description |\n|----------------|----------------|-------------|\n| fev1, lung-function | lung_function | Lung function test record |\n| cat | cat_assessment | CAT score |\n| mmrc | mmrc_assessment | mMRC dyspnea scale |\n| symptom | symptom_record | Symptom record |\n| exacerbation | exacerbation_record | Exacerbation record |\n| medication | medication_management | Medication management |\n| vaccine | vaccine_record | Vaccination record |\n| status | control_status | View control status |\n| assessment | gold_assessment | GOLD group assessment |\n\n### Lung Function Keywords Mapping\n\n| Input Keywords | Field | Example |\n|----------------|-------|--------|\n| fev1, fev | fev1 | 1.8 (L) |\n| predicted, percent, % | fev1_percent_predicted | 65 (%) |\n| fvc, fvc | fvc | 3.2 (L) |\n| ratio | fev1_fvc_ratio | 0.56 |\n\n### Symptom Type Keywords\n\n| Input Keywords | Symptom Type |\n|----------------|--------------|\n| dyspnea | dyspnea |\n| cough | cough |\n| sputum | sputum |\n| wheeze | wheeze |\n\n### Sputum Color Keywords\n\n| Input Keywords | Color Value |\n|----------------|-------------|\n| white | white |\n| clear | clear |\n| yellow | yellow |\n| green | green |\n| purulent | purulent |\n\n### Sputum Volume Keywords\n\n| Input Keywords | Volume Value |\n|----------------|---------------|\n| scanty | scanty |\n| moderate | moderate |\n| abundant | abundant |\n\n### Exacerbation Severity\n\n| Input Keywords | Severity |\n|----------------|-----------|\n| mild | mild |\n| moderate | moderate |\n| severe | severe |\n\n### Exacerbation Triggers\n\n| Input Keywords | Trigger |\n|----------------|---------|\n| viral | viral_infection |\n| bacterial | bacterial_infection |\n| pollution | air_pollution |\n| weather | weather_change |\n\n## Step 2: Check Information Completeness\n\n### Lung Function Record Required:\n- FEV1 value (L)\n\n### CAT Score Required:\n- Total score (0-40 points)\n\n### mMRC Score Required:\n- Grade (0-4 level)\n\n### Symptom Record Required:\n- Symptom type\n- Severity or description\n\n### Exacerbation Record Required:\n- Severity (mild/moderate/severe)\n\n## Step 3: Interactive Prompts (If Needed)\n\n### Scenario A: Incomplete Lung Function Values\n```\nPlease provide complete lung function data:\n- FEV1 value (L)\n- FEV1 percent predicted (%)\n- FVC value (L) [optional]\n- FEV1/FVC ratio [optional]\n```\n\n### Scenario B: Missing CAT Score\n```\nPlease perform CAT scoring (each item 0-5 points):\n1. Cough\n2. Sputum\n3. Chest tightness\n4. Shortness of breath climbing stairs\n5. Limitation in housework activities\n6. Confidence in outdoor activities\n7. Sleep quality\n8. Energy level\n\nOr enter total score directly (0-40 points)\n```\n\n### Scenario C: Missing mMRC Grade\n```\nPlease select mMRC grade (0-4):\nGrade 0 - Only shortness of breath during strenuous exercise\nGrade 1 - Shortness of breath when walking fast or climbing incline\nGrade 2 - Walk slower than peers or need to stop to catch breath\nGrade 3 - Need to stop after 100m or few minutes\nGrade 4 - Severe shortness of breath, cannot leave home\n```\n\n## Step 4: Generate JSON\n\n### Lung Function Record\n```json\n{\n \"date\": \"2025-06-10\",\n \"post_bronchodilator\": {\n \"fev1\": 1.8,\n \"fev1_percent_predicted\": 65,\n \"fvc\": 3.2,\n \"fev1_fvc_ratio\": 0.56\n },\n \"gold_grade\": \"Grade 2\",\n \"interpretation\": \"Moderate airflow limitation\"\n}\n```\n\n### CAT Score Record\n```json\n{\n \"date\": \"2025-06-20\",\n \"total_score\": 18,\n \"max_score\": 40,\n \"interpretation\": \"Moderate symptom impact\",\n \"impact_level\": \"Medium\",\n \"items\": {\n \"cough\": 2,\n \"sputum\": 2,\n \"chest_tightness\": 2,\n \"breathlessness_climbing\": 3,\n \"activity_limitation\": 2,\n \"confidence_outdoors\": 2,\n \"sleep\": 3,\n \"energy\": 2\n }\n}\n```\n\n### Exacerbation Record\n```json\n{\n \"id\": \"exace_20250215000000001\",\n \"date\": \"2025-02-15\",\n \"severity\": \"moderate\",\n \"triggers\": [\"viral_infection\"],\n \"symptoms\": [\"increased_dyspnea\", \"purulent_sputum\"],\n \"treatment\": [\"antibiotics\", \"prednisone\"],\n \"hospitalized\": false,\n \"recovery_days\": 10\n}\n```\n\nComplete schema definition: see [schema.json](schema.json).\n\n## Step 5: Save Data\n\n1. Read `data/copd-tracker.json`\n2. Update corresponding sections based on operation type\n3. Update statistics\n4. Write back to file\n\n## Execution Instructions\n\n```\n1. Identify operation type (fev1/cat/mmrc/symptom/exacerbation/medication/vaccine/status/assessment)\n2. Extract parameter information\n3. Check required field completeness\n4. If missing, ask user to supplement\n5. Generate JSON compliant with schema.json\n6. Save to data/copd-tracker.json\n7. Output confirmation and medical recommendations\n```\n\n## Example Interactions\n\n### Example 1: Lung Function Record\n```\nUser: fev1 1.8 65%\n\nAI: Lung function test result recorded\nFEV1: 1.8 L (65% predicted)\nGOLD Grade: Grade 2 (moderate)\nInterpretation: Moderate airflow limitation\n\nRecommendation: Regular lung function recheck, at least once a year\n```\n\n### Example 2: CAT Score\n```\nUser: cat score 18\n\nAI: CAT score recorded\nTotal score: 18/40\nImpact: Moderate impact\nGrade: Medium\n\nSymptom control needs improvement, consult doctor for treatment adjustment\n```\n\n### Example 3: Exacerbation Record\n```\nUser: exacerbation moderate viral_infection\n\nAI: Exacerbation event recorded\nDate: 2025-06-20\nSeverity: Moderate\nTrigger: Viral infection\n\nThis is the 1st exacerbation this year\n\nIf symptoms continue to worsen for more than 3 days, seek medical attention\n```\n\n### Example 4: View Status\n```\nUser: copd status\n\nAI: COPD Control Status Report\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nGOLD Grade: Grade 2 (moderate)\nSymptom assessment: CAT 18 (moderate impact)\nLung function: FEV1 1.8L (65%)\n\nExacerbations: 1 this year (last: 2025-02-15)\nMedication: Tiotropium 18μg qd\nVaccination: Flu vaccine (2024-10), Pneumonia vaccine (2023-05)\n\nControl Evaluation: Symptom control suboptimal, recommend optimizing treatment\n```\n\nFor more examples, see [examples.md](examples.md).\n\n## Medical Safety Boundaries\n\n### Cannot Do:\n- Provide specific medication dosage adjustment recommendations\n- Directly prescribe or recommend specific medications\n- Replace doctor's diagnosis and treatment decisions\n- Predict disease prognosis or rate of lung function decline\n\n### Can Do:\n- Provide lung function monitoring records and trend analysis\n- Provide symptom scoring and assessment (CAT, mMRC)\n- Provide exacerbation records and trigger tracking\n- Provide medication reminders and vaccination reminders\n- Provide lifestyle recommendations and medical visit reminders\n\n### Emergency Medical Indications:\n- Significantly worsened dyspnea, unrelieved by rest\n- Purple lips or fingernails (cyanosis)\n- Confusion, drowsiness, or coma\n- Chest pain, suspected myocardial infarction or pneumothorax","readmeExcerpt":"Skill: Wellally Health Skills Owner: huifer Summary: Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-02-17T04:50:50.696Z | auto Initial release of wellally-health-skills. - Introduces support for creating, managing, and sharing custom skills to extend Claude's capa","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"User Input -> Parse Operation Type -> [analyze] Read Data -> Multi-dimensional Analysis -> Generate Insights -> Output Report\n -> [predict] Extract Risk Factors -> Calculate Risk -> Generate Recommendations\n -> [chat] Parse Query -> Retrieve Data -> Analyze -> Reply\n -> [report] Generate HTML Report\n -> [status] Display Configuration Status"},{"language":"text","snippet":"1. Read AI configuration and user profile\n2. Read all health data sources\n - Basic indicators (profile.json)\n - Lifestyle data\n - Mental health data\n - Medical history data\n3. Execute multi-dimensional analysis\n - Correlation analysis (Pearson, Spearman)\n - Trend analysis (linear regression, moving average)\n - Anomaly detection (CUSUM, Z-score)\n4. Generate personalized recommendations (Level 1-3)\n5. Output text report\n6. Generate HTML report (optional)"},{"language":"text","snippet":"1. Read user profile and related health data\n2. Extract risk factors (age, BMI, blood pressure, blood sugar, family history, etc.)\n3. Apply risk prediction models\n4. Calculate risk probability and grade\n5. Identify modifiable risk factors\n6. Generate prevention recommendations"},{"language":"text","snippet":"What is my average sleep time?\nWhat is my recent weight?"},{"language":"text","snippet":"How has my weight changed recently?\nHas my sleep quality improved?"},{"language":"text","snippet":"How does exercise affect my sleep?\nIs there a relationship between diet and my weight?"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"skills/ai-health/SKILL.md","content":"---\nname: ai-health\ndescription: AI-driven health analysis system including comprehensive analysis, risk prediction, intelligent Q&A, and report generation.\nargument-hint: \nallowed-tools: Read, Write\nschema: ai-health/schema.json\n---\n\n# AI Health Assistant Skill\n\nAI-driven comprehensive health analysis system providing intelligent health insights, risk prediction, and personalized recommendations.\n\n## Core Flow\n\n```\nUser Input -> Parse Operation Type -> [analyze] Read Data -> Multi-dimensional Analysis -> Generate Insights -> Output Report\n -> [predict] Extract Risk Factors -> Calculate Risk -> Generate Recommendations\n -> [chat] Parse Query -> Retrieve Data -> Analyze -> Reply\n -> [report] Generate HTML Report\n -> [status] Display Configuration Status\n```\n\n## Step 1: Parse Operation Type\n\n| Input Keywords | Operation |\n|----------------|-----------|\n| analyze | analyze |\n| predict | predict |\n| chat | chat |\n| report | report |\n| status | status |\n\n## Step 2: AI Comprehensive Analysis (analyze)\n\n### Analysis Process\n\n```\n1. Read AI configuration and user profile\n2. Read all health data sources\n - Basic indicators (profile.json)\n - Lifestyle data\n - Mental health data\n - Medical history data\n3. Execute multi-dimensional analysis\n - Correlation analysis (Pearson, Spearman)\n - Trend analysis (linear regression, moving average)\n - Anomaly detection (CUSUM, Z-score)\n4. Generate personalized recommendations (Level 1-3)\n5. Output text report\n6. Generate HTML report (optional)\n```\n\n### Time Range Parameters\n\n| Parameter | Description |\n|-----------|-------------|\n| all | All data |\n| last_month | Last month |\n| last_quarter | Last quarter (default) |\n| last_year | Last year |\n| YYYY-MM-DD | From specified date to present |\n\n## Step 3: Health Risk Prediction (predict)\n\n### Supported Risk Types\n\n| Type | Description | Model |\n|------|-------------|-------|\n| hypertension | Hypertension risk (10-year) | Framingham |\n| diabetes | Diabetes risk (10-year) | ADA |\n| cardiovascular | Cardiovascular risk (10-year) | Framingham |\n| all | All risk predictions | Combined |\n\n### Risk Calculation Process\n\n```\n1. Read user profile and related health data\n2. Extract risk factors (age, BMI, blood pressure, blood sugar, family history, etc.)\n3. Apply risk prediction models\n4. Calculate risk probability and grade\n5. Identify modifiable risk factors\n6. Generate prevention recommendations\n```\n\n## Step 4: Intelligent Health Q&A (chat)\n\n### Supported Query Types\n\n**Data Query:**\n```\nWhat is my average sleep time?\nWhat is my recent weight?\n```\n\n**Trend Analysis:**\n```\nHow has my weight changed recently?\nHas my sleep quality improved?\n```\n\n**Correlation Query:**\n```\nHow does exercise affect my sleep?\nIs there a relationship between diet and my weight?\n```\n\n**Recommendation Que"},{"path":"skills/allergy/SKILL.md","content":"---\nname: allergy\ndescription: Manage allergy records including drug, food, and environmental allergies with severity tracking and medical alert integration.\nargument-hint: \nallowed-tools: Read, Write\nschema: allergy/schema.json\n---\n\n# Allergy History Management Skill\n\nRecord and manage allergy history, including drug allergies, food allergies, environmental allergies, etc., with quick query and update support.\n\n## Core Flow\n\n```\nUser Input -> Parse Operation Type -> [add] Parse Allergy Info -> Medical Standardization -> Generate JSON -> Save\n -> [list] Filter and Display\n -> [update] Find and Update -> Save\n -> [delete] Confirm Deletion\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Recognition\n\n| Input Keywords | Operation |\n|----------------|-----------|\n| add | add |\n| list | list |\n| update | update |\n| delete | delete |\n\n## Step 2: Add Allergy Record (add)\n\n### Allergy Information Parsing\n\nExtract from natural language:\n\n**Basic Information (Auto Extracted):**\n- **Allergen Name**: Specific substance name causing allergy\n- **Allergy Type**: Drug, food, environmental, other\n- **Severity Level**: Mild, moderate, severe, anaphylaxis\n- **Reaction Symptoms**: Specific allergic reaction manifestations\n\n**Detailed Information (Extract or Ask):**\n- **Discovery Time**: When allergy was first discovered\n- **Discovery Circumstances**: Situation and context at the time\n- **Confirmation Method**: Doctor diagnosis, self-observation, test confirmed\n- **Current Status**: Still allergic or resolved\n\n### Medical Standardization Conversion\n\n| Colloquial Description | Medical Term | Type |\n|------------------------|-------------|------|\n| Penicillin | Penicillin | Drug allergy |\n| Peanut | Peanut | Food allergy |\n| Pollen | Pollen | Environmental allergy |\n| Iodine contrast | Iodine contrast | Drug allergy |\n| Hymenoptera venom | Hymenoptera venom | Other allergy |\n\n### Allergy Type Classification\n\n- **Drug Allergies**: Antibiotics (penicillin, cephalosporin, etc.), painkillers (aspirin, etc.), contrast agents, vaccines, TCM, etc.\n- **Food Allergies**: Seafood (shrimp, crab, shellfish), nuts (peanut, walnut), eggs, dairy, gluten, fruits, etc.\n- **Environmental Allergies**: Pollen, dust mites, animal dander, mold, latex, etc.\n- **Other Allergies**: Insect bites, chemicals, metals, etc.\n\n### Automatic Severity Determination\n\n**Keyword Mapping:**\n- \"Shock\", \"Anaphylaxis\", \"Unconscious\", \"Coma\" → Level 4 (anaphylaxis)\n- \"Severe\", \"Systemic\", \"Unbearable\", \"BP drop\" → Level 3 (severe)\n- \"Obvious\", \"Moderate\", \"Needs treatment\", \"Swelling\" → Level 2 (moderate)\n- \"Mild\", \"Occasional\", \"Local\" → Level 1 (mild) |\n\n### Reaction Symptom Recognition\n\n**Skin symptoms:** Rash, hives, itching, redness, erythema\n**Respiratory symptoms:** Dyspnea, wheezing, laryngeal edema, chest tightness\n**Digestive "},{"path":"skills/child-development/SKILL.md","content":"---\nname: child-development\ndescription: Track and assess child developmental milestones based on ASQ-3 and Denver II standards. Use when user mentions development, milestones, motor skills, language, social skills, or cognitive development.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-development/schema.json\n---\n\n# Child Developmental Milestone Tracking Skill\n\nChild developmental milestone tracking and assessment based on ASQ-3 and Denver II standards, providing early warning for developmental delays.\n\n## Core Flow\n\n```\nUser Input → Parse Operation Type → Read Child Information → Calculate Age → Determine Assessment Items → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | domain |\n|------|--------|--------|\n| record | record | all(default)/gross/fine/language/social/cognitive |\n| check | check | - |\n| milestone | milestone | Optional: specify domain |\n| delay | delay | - |\n| history | history | - |\n\n### Developmental Domain Mapping\n\n| Input Keywords | domain |\n|----------------|--------|\n| gross motor | gross |\n| fine motor | fine |\n| language | language |\n| social | social |\n| cognitive | cognitive |\n\n## Step 2: Check Information Completeness\n\n### Required (prompt to set if missing):\n- Child name (from data/profile.json)\n- Birth date (from data/profile.json)\n- Gender (from data/profile.json)\n- Prematurity status (from data/profile.json)\n\n### Prompt when child profile missing:\n```\nChild profile not found\n\nPlease set child basic information first:\n/profile child-name Xiaoming\n/profile child-birth-date 2020-01-01\n/profile child-gender male\n```\n\n## Step 3: Calculate Age and Months\n\n```javascript\nbirthDate = profile.child_birth_date\ntoday = new Date()\n\nageMonths = (today - birthDate) / (30.44 * 24 * 60 * 60 * 1000)\n\n// Prematurity correction (<37 weeks, correct until 2 years)\nif gestational_age < 37 && ageMonths <= 24:\n correctedAgeMonths = ageMonths - (40 - gestational_age) * 4\nelse:\n correctedAgeMonths = ageMonths\n```\n\n## Step 4: Generate Assessment Questions\n\n### Determine Key Milestones by Age\n\n**6-Month Assessment Example:**\n```\nPlease assess whether milestones are achieved (yes/no):\n\nGross Motor (6 months)\n Can sit briefly without support\n Can support self on hands during tummy time\n Can roll from back to tummy\n\nFine Motor (6 months)\n Can reach for objects\n Can transfer items between hands\n Can pinch with thumb and finger\n\nLanguage (6 months)\n Can make single syllable sounds (ma/ba etc.)\n Responds to sounds\n Can turn toward sound source\n\nSocial (6 months)\n Shows stranger anxiety\n Laughs out loud\n Can express happiness/anger\n\nCognitive (6 months)\n Looks for dropped objects\n Can distinguish familiar/stranger faces\n```\n\n## Step 5: Generate Assessment Report\n\n### Developmental Assessment Grading\n\n| Assessment Result | Condition |\n|---------------"},{"path":"skills/child-illness/SKILL.md","content":"---\nname: child-illness\ndescription: Track child illness, symptoms, fever management, and medication records. Use when user mentions child sickness, fever, cough, cold, or disease.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-illness/schema.json\n---\n\n# Child Illness Management Skill\n\nChild common illness recording, symptom tracking and home care management, providing fever management, medication logging and recovery tracking.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Collect Illness Information → Generate Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log illness |\n| symptom | symptom | Log symptoms |\n| fever | fever | Fever management |\n| medicine | medicine | Medication log |\n| recovery | recovery | Recovery tracking |\n| frequency | frequency | Illness frequency |\n| history | history | Historical records |\n\n### Illness Type Recognition\n\n| Keywords | Illness Type | Common Symptoms |\n|----------|--------------|-----------------|\n| cold, 感冒, 上感, 流鼻涕, 鼻塞 | Acute upper respiratory infection | Fever, cough, runny nose, sore throat |\n| bronchitis, 支气管炎 | Acute bronchitis | Cough, sputum, fever |\n| pneumonia, 肺炎 | Pneumonia | High fever, cough, difficulty breathing |\n| gastroenteritis, 肠炎, 拉肚子, 腹泻 | Acute gastroenteritis | Vomiting, diarrhea, fever |\n| HFMD, 手足口 | Hand, foot and mouth disease | Rash, fever, oral ulcers |\n| chickenpox, 水痘 | Chickenpox | Rash, fever, itching |\n| flu, 流感 | Influenza | High fever, body aches, fatigue |\n| otitis media, 中耳炎, 耳朵痛 | Acute otitis media | Ear pain, fever |\n| allergic rhinitis, 过敏鼻炎 | Allergic rhinitis | Sneezing, runny nose, nasal itching |\n\n## Step 2: Check Information Completeness\n\n### record Operation Required:\n- Symptom description (can infer from user input)\n- Onset date (defaults to today)\n\n### fever Operation Required:\n- Temperature value\n\n### medicine Operation Required:\n- Medication name\n- Dosage\n\n## Step 3: Interactive Prompts (When Information Insufficient)\n\n### When Missing Symptom Details:\n```\nPlease provide following information (can skip):\n\n1. Main symptoms: (e.g., fever, cough, runny nose)\n2. Onset date: (defaults to today)\n3. Severity: (mild/moderate/severe)\n4. Medical consultation: (yes/no)\n\nEnter /done to complete recording\n```\n\n### When Fever Recording Missing Temperature:\n```\nPlease enter current temperature (e.g., 38.5)\n```\n\n## Step 4: Generate Assessment Report\n\n### Temperature Grade Standard\n\n| Temperature Grade | Standard Range |\n|-------------------|----------------|\n| Normal | < 37.3 |\n| Low-grade fever | 37.3 - 38.0 |\n| Moderate fever | 38.1 - 39.0 |\n| High fever | 39.1 - 41.0 |\n| Very high fever | > 41.0 |\n\n### Illness Record Report Example:\n```\nIllness record saved\n\nIllness Inform"},{"path":"skills/child-mental/SKILL.md","content":"---\nname: child-mental\ndescription: Child mental health screening, mood tracking, behavior assessment, anxiety and ADHD screening. Use when user mentions child emotions, behavior, attention, mood swings, or mental concerns.\nargument-hint: \nallowed-tools: Read, Write\nschema: child-mental/schema.json\n---\n\n# Child Mental Health Skill\n\nChild mental health assessment, mood tracking and behavior problem screening, providing preliminary assessment for anxiety, attention and other areas.\n\n## Core Flow\n\n```\nUser Input → Identify Operation Type → Read Child Information → Determine Assessment Items by Age → Generate Assessment Report → Save Data\n```\n\n## Step 1: Parse User Input\n\n### Operation Type Mapping\n\n| Input | action | Description |\n|------|--------|-------------|\n| record | record | Log comprehensive assessment |\n| mood | mood | Mood tracking |\n| behavior | behavior | Behavior assessment |\n| anxiety | anxiety | Anxiety screening |\n| adhd | adhd | Attention screening (ADHD) |\n| report | report | Comprehensive report |\n| history | history | Historical records |\n\n### Mood Keyword Mapping\n\n| Input | mood |\n|------|------|\n| happy | happy |\n| calm | calm |\n| sad | sad |\n| angry | angry |\n| excited | excited |\n| anxious | anxious |\n\n## Step 2: Check Information Completeness\n\n### Required (prompt to set if missing):\n- Child name (from data/profile.json)\n- Birth date (from data/profile.json)\n- Gender (from data/profile.json)\n\n## Step 3: Determine Assessment Items by Age\n\n| Age | Assessment Focus |\n|-----|------------------|\n| 0-3 years | Emotional response, attachment, behavior patterns |\n| 3-6 years | Emotional expression, social behavior, attention |\n| 6-12 years | Emotional regulation, learning behavior, peer relationships |\n| 12-18 years | Emotional management, self-awareness, stress coping |\n\n## Step 4: Generate Assessment Report\n\n### Mood State Assessment\n\n| Overall Mood | Condition |\n|--------------|------------|\n| Stable | Appropriate emotional responses, self-regulation |\n| Fluctuating | Rapid mood changes, unpredictable |\n| Unstable | Difficulty self-soothing, frequent crying |\n\n### Behavior Assessment Grading\n\n| Assessment Result | Condition |\n|-------------------|-----------|\n| Normal | All behavior domains age-appropriate |\n| Mild problems | 1-2 domains with mild difficulties |\n| Significant problems | Multiple domains with significant difficulties |\n\n### Normal Assessment Report Example:\n```\nMental health assessment saved\n\nAssessment Information:\nChild: Xiaoming\nAge: 2 years 5 months\nAssessment date: January 14, 2025\n\nMood State:\n Overall mood: Stable\n Emotional expression: Rich and appropriate\n Emotional regulation: Good\n\nBehavior Assessment:\n Overall behavior: Normal\n Activity level: Moderate\n Attention: Good\n Compliance: Good\n Aggressive behavior: None\n\nComprehensive Assessment:\n Normal mental development\n\n"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Skill: Wellally Health Skills Owner: huifer Summary: Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-02-17T04:50:50.696Z | auto Initial release of wellally-health-skills. - Introduces support for creating, managing, and sharing custom skills to extend Claude's capa","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1480,"uniquenessScore":48,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T19:41:54.848Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T19:41:54.848Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-14T18:50:29.507Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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