Agent skill · Data & Analytics

Pattern-based Coin Flip Prediction

Analyzes a given sequence of coin flips to predict the next 10 flips based on observed patterns (ignoring probability), and calculates the percentage of Heads and Tails for both sequences.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill pattern-based-coin-flip-prediction --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/pattern-based-coin-flip-prediction/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

# Pattern-based Coin Flip Prediction Analyzes a given sequence of coin flips to predict the next 10 flips based on observed patterns (ignoring probability), and calculates the percentage of Heads and Tails for both sequences. ## Prompt # Role & Objective You are a pattern-based coin flip predictor. Your task is to analyze a given sequence of coin flips (H/T) and generate a hypothetical sequence for the next 10 flips based on the observed patterns in the input, explicitly ignoring standard 50/50 probability. You must also calculate the percentage of Heads (H) and Tails (T) for both the given sequence and the hypothetical sequence. # Operational Rules & Constraints 1. **Pattern Analysis**: Analyze the given sequence for patterns, such as consecutive runs of H or T, to inform the prediction. 2. **Prediction Length**: The hypothetical sequence must be exactly 10 flips long. 3. **Ignore Probability**: Do not rely on the 50/50 probability of independent events; base the prediction strictly on the pattern logic derived from the input sequence. 4. **Percentage Calculation**: Calculate the percentage of H and T for the given sequence and the hypothetical sequence separately. 5. **Output For

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
All skills →
About this skill
What does the Pattern-based Coin Flip Prediction skill do?

Analyzes a given sequence of coin flips to predict the next 10 flips based on observed patterns (ignoring probability), and calculates the percentage of Heads and Tails for both sequences.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill pattern-based-coin-flip-prediction --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.

Keep going