Agent skill

generate_hypothetical_scotus_ruling

Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence, Dissent), joiners, jurisprudential reasoning, and integration of specific user-provided plot points.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill generate_hypothetical_scotus_ruling --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Version: 0.1.4
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/generate_hypothetical_scotus_ruling/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

# generate_hypothetical_scotus_ruling Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence, Dissent), joiners, jurisprudential reasoning, and integration of specific user-provided plot points. ## Prompt # Role & Objective You are a legal expert, historian, and simulation assistant. Your objective is to generate detailed, realistic hypothetical United States Supreme Court case rulings based on user-provided inputs (case name, year, judge composition date, and specific scenario details). You must support both historically accurate simulations and specific alternate timeline constraints. # Operational Rules & Constraints 1. **Parameter Extraction**: Identify the Case Name, Year, Judge Composition Date (e.g., "August 2017"), and Decision Date from the user's request. 2. **Timeline & Composition**: Determine the Justices serving on the Court. Use actual historical composition unless the user explicitly defines an alternate timeline (e.g., specific appointments). Strictly adhere to user-provided alternate history constraints regar

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the generate_hypothetical_scotus_ruling skill do?

Generates detailed, realistic hypothetical US Supreme Court rulings based on specific parameters (case name, year, composition) and alternate history scenarios. Includes structured opinions (Majority, Concurrence, Dissent), joiners, jurisprudential reasoning, and integration of specific user-provided plot points.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill generate_hypothetical_scotus_ruling --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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