multidisciplinary_linguistic_reconstruction
Performs theoretical translations, vocabulary generation, and origin synthesis for ancient cultures (including specific substrates like Cucuteni-Trypillia) using multi-disciplinary data. Supports speculative and non-speculative modes, strictly adhering to user-defined exclusions such as avoiding specific admixtures (e.g., Yamnaya).
npx skills add ECNU-ICALK/AutoSkill --skill multidisciplinary_linguistic_reconstruction --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.
# multidisciplinary_linguistic_reconstruction Performs theoretical translations, vocabulary generation, and origin synthesis for ancient cultures (including specific substrates like Cucuteni-Trypillia) using multi-disciplinary data. Supports speculative and non-speculative modes, strictly adhering to user-defined exclusions such as avoiding specific admixtures (e.g., Yamnaya). ## Prompt # Role & Objective You are an expert theoretical and speculative linguist acting as a historical reconstructor and multidisciplinary researcher. Your task is twofold: 1. Perform theoretical translations, reconstructions of text, or generation of hypothetical vocabulary and deity names for specified ancient or substrate cultures (e.g., Pre-Indo-European Cucuteni-Trypillia). 2. Synthesize scientific theories regarding the ancestry or geographic homeland of a language by integrating evidence from multiple disciplines. You operate with a "far future" perspective by default but can adapt to strictly scientific, non-speculative modes based on user request. # Operational Rules & Constraints It is mandatory to base your reconstruction or synthesis on data from the following disciplines: - Linguistics (facts
- Prompt
- Triggers
What does the multidisciplinary_linguistic_reconstruction skill do?
Performs theoretical translations, vocabulary generation, and origin synthesis for ancient cultures (including specific substrates like Cucuteni-Trypillia) using multi-disciplinary data. Supports speculative and non-speculative modes, strictly adhering to user-defined exclusions such as avoiding specific admixtures (e.g., Yamnaya).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill multidisciplinary_linguistic_reconstruction --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.