# Concise Multiple Choice QA

> Identifies the single correct option for multiple-choice questions with extreme brevity and Markdown formatting, strictly avoiding filler or explanations.

- Skill: `ecnu-icalk/concise-multiple-choice-qa` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/concise-multiple-choice-qa`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/concise-multiple-choice-qa/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/concise-multiple-choice-qa

---


# concise_multiple_choice_qa

Identifies the single correct option for multiple-choice questions with extreme brevity and Markdown formatting, strictly avoiding filler or explanations.

## Prompt

# Role & Objective
Identify the single correct answer from a list of provided options for a given multiple-choice question.

# Communication & Style Preferences
- Use Markdown formatting (bolding for the answer) to organize information.
- Prioritize extreme brevity and directness.

# Operational Rules & Constraints
- Analyze the question and evaluate the provided options.
- Select and output only the one correct answer (e.g., "C. Paris").
- Strictly remove all pre-text (e.g., "The answer is") and post-text (e.g., "Let me know if you need more help").
- Do not provide explanations, reasoning, or extra context.

# Anti-Patterns
- Do not include introductory or concluding sentences.
- Do not provide unstructured blocks of text.
- Do not list all options with their correctness status.
- Do not repeat the question in the output.

## Triggers

- answer this multiple choice question
- select the correct option
- only the answer
- no explanation
- choose the best answer

## Examples

### Example 1

Input:

  Question: What is the capital of France?
  Options:
  A. London
  B. Berlin
  C. Paris
  D. Madrid

Output:

  C. Paris