Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Generate hospital discharge summaries from admission data, hospital course, diagnoses, procedures, and follow-up plans; use when a structured discharge document is required from clinical notes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Generate standardized, clinically accurate hospital discharge summaries by integrating all inpatient medical data.
Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.py
Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.
python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py -h
python scripts/main.py --help
{
"patient_info": {
"name": "string",
"gender": "string",
"age": "number",
"medical_record_number": "string",
"admission_date": "YYYY-MM-DD",
"discharge_date": "YYYY-MM-DD",
"department": "string",
"attending_physician": "string"
},
"admission_data": {
"chief_complaint": "string",
"present_illness_history": "string",
"past_medical_history": "string",
"physical_examination": "string",
"admission_diagnosis": ["string"]
},
"hospital_course": {
"treatment_summary": "string",
"procedures_performed": ["string"],
"significant_findings": "string",
"complications": ["string"],
"consultations": ["string"]
},
"discharge_status": {
"discharge_diagnosis": ["string"],
"discharge_condition": "string",
"hospital_stay_days": "number"
},
"medications": {
"discharge_medications": [
{
"name": "string",
"dosage": "string",
"frequency": "string",
"route": "string",
"duration": "string"
}
]
},
"follow_up": {
"instructions": "string",
"follow_up_appointments": ["string"],
"warning_signs": ["string"],
"activity_restrictions": "string",
"diet_instructions": "string"
}
}
python scripts/main.py --input patient_data.json --output discharge_summary.md --format standard
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--input | string | - | Yes | Path to JSON file containing patient data |
--output | string | discharge_summary.md | No | Output file path |
--format | string | standard | No | Output format (standard, structured, json) |
--template | string | - | No | Custom template file path |
--language | string | zh | No | Output language (zh or en) |
Human-readable markdown document following clinical discharge summary structure:
Sectioned markdown with clear headers for EMR integration.
Machine-readable structured data for system integration.
⚠️ HIGH - Manual Review Required
This skill handles critical medical documentation. Output requires:
references/discharge_template.md - Standard discharge summary templatereferences/medical_terms.json - Standardized medical terminologyreferences/section_guidelines.md - Guidelines for each section| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
No additional Python packages required.
Every final response should make these items explicit when they are relevant:
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.This skill accepts requests that match the documented purpose of discharge-summary-writer and include enough context to complete the workflow safely.
Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:
discharge-summary-writeronly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
Use the following fixed structure for non-trivial requests:
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
| Field | Required | Format/Source | Example | If Missing |
|---|---|---|---|---|
| User task description | Yes | Text | Research question, writing goal, analysis objective | Stop and ask user to provide |
| Primary input material | Depends on task | Text, file path, ID, table, or literature | PMID, PDF, CSV, DOCX, keywords, etc. | Specify which material type is missing |
| Output preference | No | Text | Language, format, target journal, template | Use skill default format |
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概要と使いどころ
Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
日本語の概要は準備中です。原文の説明を表示しています。
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
日本語の概要は準備中です。原文の説明を表示しています。
Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
日本語の概要は準備中です。原文の説明を表示しています。