Personal Statement

Source: https://github.com/aipoch/medical-research-skills

Personal Statement Writer for Medical Education

Craft compelling personal statements for medical school, residency, fellowship, and graduate school applications in healthcare fields.

When to Use

• Use this skill when the task needs Use when writing medical school personal statements, residency application essays, fellowship statements, or graduate school admissions essays. Crafts compelling narratives highlighting clinical experiences, research achievements, and career motivations for healthcare education applications.
• Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

• Scope-focused workflow aligned to: Use when writing medical school personal statements, residency application essays, fellowship statements, or graduate school admissions essays. Crafts compelling narratives highlighting clinical experiences, research achievements, and career motivations for healthcare education applications.
• Packaged executable path(s): scripts/main.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260318/scientific-skills/Academic Writing/personal-statement"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/main.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/main.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

python -m py_compile scripts/main.py

Audit-Ready Commands

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

Workflow

1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Quick Start

from scripts.personal_statement_writer import PersonalStatementWriter

writer = PersonalStatementWriter()

# Generate personal statement
statement = writer.write(
    program_type="medical_school",
    key_experiences=["Shadowing Dr. Smith", "Volunteer at free clinic", "Research on diabetes"],
    motivation="Helping underserved communities",
    character_limit=5300
)

Core Capabilities

1. Structure Generation

outline = writer.create_outline(
    program="residency_surgery",
    themes=["Leadership", "Technical skill", "Patient advocacy"]
)

Standard Structure:

1. Opening Hook (10-15%) - Captivating patient story or defining moment
2. Clinical Experiences (30-40%) - Specific patient encounters with reflection
3. Research/Academic (20-25%) - Scholarly contributions and intellectual curiosity
4. Service/Leadership (15-20%) - Community impact and teamwork
5. Career Goals (10-15%) - Clear vision for future practice

2. Experience Framing

framed = writer.frame_experience(
    experience="Volunteered at homeless shelter",
    angle="patient_advocacy",
    program_type="family_medicine"
)

STAR Method for Experiences:

• Situation: Brief context
• Task: Your responsibility
• Action: Specific steps you took
• Result: Measurable outcome + personal reflection