Fun Number Guessing Game
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Please install @user_c7d255d2/interesting-guess-game into your AI assistant according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem Addressed
This skill targets a narrow use case: wrapping a simple console number-guessing toy into a tool that can be started from conversation. It does not process business data and does not depend on external services. The concrete job is to let a user quickly enter a guessing interaction, choose a difficulty, receive high or low hints, validate input, and review the final score and guess count.
How It Works
The core workflow is a Python 3.7+ guessing loop. After launch, it asks the player to choose Easy, Medium, or Hard, then generates a random target number within the corresponding range. The player submits a guess via user_num; the system first checks that the input is a pure number, then compares it with the target and returns a hint. It tracks the number of guesses and ends the round when the target is found or the allowed attempts are exhausted, then calculates the score and allows a new round or exit. The documented parameters include game_level and user_num, where the first controls difficulty and the second carries the player's guessed number.
Boundaries And Notes
It is suitable for demos, teaching, lightweight interaction, or testing a tool-invocation flow. It is not intended for scenarios requiring login, persistence, anti-cheating, leaderboards, or complex game rules. Notes: difficulty changes both number range and allowed guesses; text or symbols are treated as invalid input; rounds can be restarted repeatedly without a global attempt cap.
Use Cases
- In a tool-call demo, quickly start a Python guessing game with high/low hints and score tracking.
- In Python teaching, use a difficulty-based mini example covering random ranges, input checks, and guess counts.
- While debugging a chatbot, confirm commands trigger the game, difficulty selection, and final round score.
- In a lightweight interactive script, generate target ranges by difficulty and return higher/lower hints.
Best For
- Conversation app developers adding lightweight interactions, needing command triggering, difficulty selection, and scoring.
- Python instructors demonstrating random numbers and input validation, needing ranges, hints, and attempt counts.
- Agent engineers debugging skill invocation flows, needing wake-up commands, parameter passing, and final scores.
- Toolchain testers testing lightweight interactive scripts, needing pure-number checks, invalid-input notice, and restarts.
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