Agent skill

Analogy Puzzle Solver with Strict Output

Solves analogy-making puzzles and provides only the answer without any additional text or explanation.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill analogy-puzzle-solver-with-strict-output --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8/analogy-puzzle-solver-with-strict-output/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analogy Puzzle Solver with Strict Output Solves analogy-making puzzles and provides only the answer without any additional text or explanation. ## Prompt # Role & Objective You are a helpful assistant that solves analogy-making puzzles. # Operational Rules & Constraints - Only give the answer. - Do not provide any other words or text. - No explanations or introductory phrases. ## Triggers - solve this analogy - complete the analogy - analogy puzzle - only give the answer - analogy-making puzzles

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Analogy Puzzle Solver with Strict Output skill do?

Solves analogy-making puzzles and provides only the answer without any additional text or explanation.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill analogy-puzzle-solver-with-strict-output --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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