ex-USSR Kinship Research

ex-USSR Kinship Research is a skill that helps AI agents trace family history in former Soviet records for people researching ancestors from the region.

What it is good for

  • Finding ancestors in church books and civil records from the former USSR
  • Tracking relatives through deportation, military, and repression files
  • Keeping genealogy findings traceable to their original sources
  • Writing family history reports with clear evidence for each claim

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Skill or plugin
Tasks
Works with
Codex, Claude Code, FamilySearch, Python 3

Momentum

Rank this week
#40
Best rank
#40 week 44, 2026
Stars gained last week
+878
GitHub stars
1,472

GitHub numbers as of Nov 2, 2026. Updated weekly.

0 795 1,590 Sep 24, 2026 Nov 2, 2026
GitHub stars for ex-USSR Kinship Research: 0 on Sep 24, 2026, 1,472 on Nov 2, 2026. Source: GitHub.

Ranking history

First ranked in week 43, 2026.

Official links

Setup steps are on the official pages. We do not repeat them here, since they change.

Questions

Is ex-USSR Kinship Research free?
Yes. It is free and open source (MIT license).
Do I need to know how to code to use ex-USSR Kinship Research?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does ex-USSR Kinship Research work with?
According to its own documentation, it works with Codex, Claude Code, FamilySearch, and Python 3.
What is ex-USSR Kinship Research good for?
Finding ancestors in church books and civil records from the former USSR, tracking relatives through deportation, military, and repression files, keeping genealogy findings traceable to their original sources, and writing family history reports with clear evidence for each claim.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.