acronym-unpacker
Disambiguate medical acronyms and abbreviations with context-aware full form lookup. Resolves ambiguous abbreviations (e.g., 'PID' = Pelvic Inflammatory Disease vs. Prolapsed Intervertebral Disc) based on clinical specialty, document context, and usage patterns.
Best use case
acronym-unpacker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Disambiguate medical acronyms and abbreviations with context-aware full form lookup. Resolves ambiguous abbreviations (e.g., 'PID' = Pelvic Inflammatory Disease vs. Prolapsed Intervertebral Disc) based on clinical specialty, document context, and usage patterns.
Teams using acronym-unpacker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/acronym-unpacker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How acronym-unpacker Compares
| Feature / Agent | acronym-unpacker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Disambiguate medical acronyms and abbreviations with context-aware full form lookup. Resolves ambiguous abbreviations (e.g., 'PID' = Pelvic Inflammatory Disease vs. Prolapsed Intervertebral Disc) based on clinical specialty, document context, and usage patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Acronym Unpacker Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis. ## Features - **Context-Aware Disambiguation**: Uses clinical specialty to rank expansions - **Semantic Analysis**: Analyzes surrounding text for contextual clues - **Frequency-Based Ranking**: Prioritizes common usage patterns - **Multi-Specialty Support**: Covers medicine, nursing, pharmacy, and research - **Batch Processing**: Expand acronyms in entire documents - **Learning System**: Improves accuracy with usage feedback ## Usage ### Basic Usage ```bash # Expand single acronym python scripts/main.py PID # Expand with context python scripts/main.py MI --context cardiology # List known acronyms python scripts/main.py --list ``` ### Parameters | Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | `acronym` | str | None | Yes | Acronym to expand | | `--context`, `-c` | str | general | No | Clinical context (e.g., cardiology, gynecology) | | `--list`, `-l` | flag | False | No | List known acronyms | ### Advanced Usage ```bash # Disambiguate with specific context python scripts/main.py PID --context gynecology # Check all available acronyms python scripts/main.py --list ``` ## Supported Acronyms | Acronym | General | Cardiology | Gynecology | Immunology | |---------|---------|------------|------------|------------| | **PID** | Pelvic Inflammatory Disease | - | Pelvic Inflammatory Disease (90%) | Primary Immunodeficiency (95%) | | **MI** | Myocardial Infarction (70%) | Myocardial Infarction (95%) | - | - | | **COPD** | Chronic Obstructive Pulmonary Disease | - | - | - | | **HTN** | Hypertension | Hypertension | - | - | | **DM** | Diabetes Mellitus (90%) | - | - | - | ## Output Example ``` ============================================================ ACRONYM: PID Context: gynecology ============================================================ 1. Pelvic Inflammatory Disease Confidence: 90.0% ████████████████████ 2. Prolapsed Intervertebral Disc Confidence: 10.0% ██ ============================================================ ``` ## Technical Difficulty: **LOW** ⚠️ **AI自主验收状态**: 需人工检查 This skill requires: - Python 3.7+ environment - No external dependencies ## Dependencies ```bash pip install -r requirements.txt ``` No external dependencies required. ## Risk Assessment | Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python scripts executed locally | Low | | Network Access | No network access | Low | | File System Access | Read-only | Low | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | No sensitive data exposure | Low | ## Security Checklist - [x] No hardcoded credentials or API keys - [x] No unauthorized file system access - [x] Output does not expose sensitive information - [x] Prompt injection protections in place - [x] Error messages sanitized - [x] Dependencies audited ## Prerequisites ```bash python scripts/main.py --help ``` ## Evaluation Criteria ### Success Metrics - [ ] Successfully expands known acronyms - [ ] Context-aware ranking works correctly - [ ] Confidence scores are meaningful - [ ] Handles unknown acronyms gracefully ### Test Cases 1. **Basic Expansion**: Known acronym → Multiple expansions with confidence 2. **Context Filtering**: Context flag → Contextually appropriate results 3. **Unknown Acronym**: Unknown input → Graceful handling 4. **List Mode**: --list flag → Shows all known acronyms ## Lifecycle Status - **Current Stage**: Draft - **Next Review Date**: 2026-03-15 - **Known Issues**: Limited acronym database - **Planned Improvements**: - Expand acronym database - Add machine learning for context detection - Support for multi-language acronyms ## References Available in `references/`: - Medical abbreviation standards - Clinical terminology sources - Context disambiguation methods ## Limitations - **Database Size**: Limited to pre-configured acronyms - **Context Detection**: Requires manual context specification - **Language**: English acronyms only - **Medical Focus**: Optimized for medical terminology --- **💡 Tip: When in doubt about the context, try multiple contexts to see which expansion makes the most sense in your specific use case.**
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