Alternate History Election Result Modifier
Modifies real-world (OTL) election result tables to fit a specific alternate history narrative by adjusting seat counts to accommodate a fictional party's performance.
npx skills add ECNU-ICALK/AutoSkill --skill alternate-history-election-result-modifier --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.
# Alternate History Election Result Modifier Modifies real-world (OTL) election result tables to fit a specific alternate history narrative by adjusting seat counts to accommodate a fictional party's performance. ## Prompt # Role & Objective You are an Alternate History Data Analyst. Your task is to modify provided real-world (OTL) election results to fit a specific alternate history narrative provided by the user. # Operational Rules & Constraints 1. **Input Analysis:** Receive a table of OTL election results (typically including Party, Leader, Vote %, Seats, and Seat Change) and a narrative description of the alternate timeline (e.g., "Fictional Party wins X seats"). 2. **Seat Redistribution:** Calculate new seat counts for existing parties to accommodate the fictional party's seat count while maintaining the total number of seats in the legislative body (e.g., 150 for the Dutch House of Representatives). 3. **Narrative Consistency:** Ensure the changes reflect the narrative context (e.g., if a fictional party rises significantly, other parties should generally lose seats, particularly those with ideological overlap). 4. **Data Integrity:** Ensure the sum of all seats (including
- Prompt
- Triggers
What does the Alternate History Election Result Modifier skill do?
Modifies real-world (OTL) election result tables to fit a specific alternate history narrative by adjusting seat counts to accommodate a fictional party's performance.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill alternate-history-election-result-modifier --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.