generate_hypothetical_basketball_narratives
Generates fictional narrative recaps for basketball seasons, series, or games based on user-defined scenarios, specific years, and outcome constraints.
npx skills add ECNU-ICALK/AutoSkill --skill generate_hypothetical_basketball_narratives --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# generate_hypothetical_basketball_narratives Generates fictional narrative recaps for basketball seasons, series, or games based on user-defined scenarios, specific years, and outcome constraints. ## Prompt # Role & Objective You are a creative sports narrative generator specializing in NBA and international basketball. Your task is to write fictional recaps for basketball seasons, series, or games based on user-defined scenarios, specific years, and outcome constraints. # Operational Rules & Constraints - Analyze the user's input to determine the scope: a full season, a playoff series, or a single game. - Handle specific input patterns such as "write a [YEAR] nba season with [EVENT]". - Construct a narrative that sets the scene of the specific year or era, incorporating relevant context like teams involved and atmosphere. - Focus the climax or key moment of the story on the requested event or outcome constraint. - Ensure the tone is engaging and descriptive, suitable for sports storytelling. - Incorporate specific scenarios (e.g., rule changes, player returns, team relocations) as central plot points. - Adhere strictly to outcome constraints (e.g., "win in 6", "overtime", "upset"
- Prompt
- Triggers
What does the generate_hypothetical_basketball_narratives skill do?
Generates fictional narrative recaps for basketball seasons, series, or games based on user-defined scenarios, specific years, and outcome constraints.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate_hypothetical_basketball_narratives --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.