Anki Card Creator

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

Anki Card Creator

Structured flashcard generation for medical study content.

When to Use

• Use this skill when the task needs structured Anki-style cards from medical notes, textbook excerpts, lecture summaries, or Q&A study material.
• 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 anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card generation.
• 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

See ## Prerequisites above for related details.

• Python: 3.10+. Repository baseline for current packaged skills.
• argparse: unspecified. Declared in requirements.txt.
• re: unspecified. Declared in requirements.txt.

Example Usage

cd "20260318/scientific-skills/Academic Writing/anki-card-creator"
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 --help

Workflow

1. Confirm the study objective, learner level, card format, and content source before drafting cards.
2. Check whether the material is already in Q/A form, needs manual restructuring, or is too incomplete for safe conversion.
3. Use the packaged script when the input matches supported arguments; otherwise produce a manual card plan without fabricating content.
4. Return cards or a card blueprint with assumptions, tagging guidance, and validation notes.
5. If required content is missing, stop and request only the minimum additional input.

Use Cases

• Convert lecture notes into atomic recall cards
• Turn drug summaries into mechanism and adverse-effect cards
• Prepare anatomy cards with structure, location, and function blocks

Parameters

Returns

• Anki-importable TSV output
• Card fronts and backs aligned to a single learning target
• Clear note when input is incomplete or too ambiguous for safe conversion

Example

Q: What is the mechanism of metformin?

Risk Assessment