autoresearch-genealogy

aradotso/trending-skills · updated Apr 8, 2026

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$npx skills add https://github.com/aradotso/trending-skills --skill autoresearch-genealogy
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Skill by ara.so — Daily 2026 Skills collection.

skill.md

autoresearch-genealogy

Skill by ara.so — Daily 2026 Skills collection.

A structured system of autoresearch prompts, Obsidian vault templates, archive guides, and methodology references for AI-assisted genealogy research. Built for Claude Code's autonomous research loops, adaptable to any AI tool or manual workflow.


What This Project Does

  • Provides 12 Claude Code /autoresearch prompts that autonomously search the web, update your vault, and self-verify results
  • Supplies a complete 19-file Obsidian vault starter kit with YAML frontmatter and markdown templates
  • Includes 24 country/region-specific archive guides (Europe, Americas, Oceania, Jewish genealogy)
  • Offers 9 methodology reference documents covering confidence tiers, DNA guardrails, naming conventions, and source hierarchy
  • Defines 7 step-by-step workflows for OCR pipelines, oral history, discrepancy resolution, and phase planning

Installation

# Clone the repository
git clone https://github.com/mattprusak/autoresearch-genealogy.git
cd autoresearch-genealogy

# Copy vault template into your Obsidian vault
cp -r vault-template/ ~/path/to/your/ObsidianVault/genealogy/

# Or copy to any markdown editor folder
cp -r vault-template/ ~/Documents/my-genealogy/

No package manager or build step required — this is a pure markdown/prompt project.


Project Structure

autoresearch-genealogy/
├── prompts/              # 12 autoresearch prompt files for Claude Code
├── vault-template/       # 19-file Obsidian vault starter kit
│   ├── Family_Tree.md
│   ├── Research_Log.md
│   ├── Open_Questions.md
│   ├── templates/        # Person, certificate, postcard, region, etc.
│   └── ...
├── archives/             # 24 country/region research guides
├── reference/            # 9 methodology documents
├── workflows/            # 7 step-by-step process guides
└── examples/             # 6 anonymized worked examples

Quick Start Workflow

Step 1: Seed your family tree

Open vault-template/Family_Tree.md and fill in what you already know, starting with yourself and working backward:

---
title: Family Tree
last_updated: 2026-03-19
generations_documented: 3
lines_active: 2
---

# Family Tree

## Generation 1 (Self)
- **Name**: Jane Smith (b. 1985, Chicago, IL)

## Generation 2 (Parents)
- **Father**: John Smith (b. 1955, Detroit, MI)
- **Mother**: Mary O'Brien (b. 1958, Boston, MA)

## Generation 3 (Grandparents)
- **Paternal Grandfather**: Robert Smith (b. ~1920, unknown)
- **Paternal Grandmother**: Helen Kowalski (b. ~1925, Poland?)

Step 2: Scan physical documents

Photograph or scan certificates, letters, postcards. Use the OCR workflow:

See: workflows/ocr-pipeline.md

Step 3: Run autoresearch prompts in Claude Code

/autoresearch prompts/01-tree-expansion.md

Step 4: Audit and verify

/autoresearch prompts/02-cross-reference-audit.md

Autoresearch Prompts — Reference

Each prompt in prompts/ follows this structure:

## Goal
[What this iteration should accomplish]

## Metric
[Measurable success condition — e.g., "increase sourced person files from N to N+10"]

## Direction
[Step-by-step instructions for the AI]

## Verify
[Cross-check to run after each iteration]

## Guard Rails
[What NOT to do — prevent hallucination, preserve source rigor]

## Iterations
[How many loops to run before stopping for human review]

## Protocol
[Output format, file naming, YAML fields to populate]

All 12 Prompts

File Purpose
01-tree-expansion.md Push every branch back using web research
02-cross-reference-audit.md Find and fix discrepancies between tree and sources
03-findagrave-sweep.md Locate Find a Grave memorials for deceased ancestors
04-gedcom-completeness.md Sync GEDCOM file with vault data
05-source-citation-audit.md Verify every person has ≥2 independent sources
06-unresolved-persons.md Identify and resolve unnamed people in documents
07-timeline-gap-analysis.md Find life events where records should exist but don't
08-open-question-resolution.md Systematically attack every open research question
09-bygdebok-extraction.md Extract data from digitized local history books
10-colonial-records-search.md Search pre-1800 colonial American records
11-immigration-search.md Locate passenger manifests and naturalization records
12-dna-chromosome-analysis.md Analyze per-chromosome ancestry data

Running a prompt in Claude Code

# In Claude Code terminal or chat:
/autoresearch prompts/08-open-question-resolution.md

# With a specific vault path context:
/autoresearch prompts/03-findagrave-sweep.md --context vault-template/Family_Tree.md

Vault Template Files

Person file template (vault-template/templates/person.md)

---
full_name: ""
birth_date: ""
birth_place: ""
death_date: ""
death_place: ""
father: ""
mother: ""
spouse: ""
children: []
confidence: "Moderate Signal"  # Strong Signal | Moderate Signal | Speculative
sources: []
open_questions: []
last_updated: ""
---

# [Full Name]

## Life Events

| Event | Date | Place | Source |
|-------|------|-------|--------|
| Birth | | | |
| Marriage | | | |
| Death | | | |

## Sources

1. [Source 1 — type, repository, date accessed]
2. [Source 2 — type, repository, date accessed]

## Open Questions

- [ ] Question 1
- [ ] Question 2

## Notes

[Narrative summary, naming variant notes, contextual history]

Certificate transcription template (vault-template/templates/certificate.md)

---
document_type: ""        # birth | death | marriage | baptism
document_date: ""
repository: ""
file_reference: ""
transcribed_by: ""
transcription_date: ""
confidence: ""
---

# Certificate: [Type] — [Name] — [Year]

## Transcription

[Verbatim transcription of the document]

## Key Data Extracted

- **Subject**: 
- **Date**: 
- **Place**: 
- **Witnesses/Informants**: 
- **Officiant
how to use autoresearch-genealogy

How to use autoresearch-genealogy on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add autoresearch-genealogy
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aradotso/trending-skills --skill autoresearch-genealogy

The skills CLI fetches autoresearch-genealogy from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/autoresearch-genealogy

Reload or restart Cursor to activate autoresearch-genealogy. Access the skill through slash commands (e.g., /autoresearch-genealogy) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.769 reviews
  • Chaitanya Patil· Dec 24, 2024

    We added autoresearch-genealogy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Liam Jain· Dec 24, 2024

    Useful defaults in autoresearch-genealogy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chinedu Sethi· Dec 16, 2024

    autoresearch-genealogy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ama Taylor· Dec 16, 2024

    Keeps context tight: autoresearch-genealogy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mei Okafor· Dec 12, 2024

    autoresearch-genealogy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • James Singh· Dec 4, 2024

    autoresearch-genealogy has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Verma· Nov 27, 2024

    I recommend autoresearch-genealogy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mei Robinson· Nov 23, 2024

    Solid pick for teams standardizing on skills: autoresearch-genealogy is focused, and the summary matches what you get after install.

  • Liam Anderson· Nov 23, 2024

    Keeps context tight: autoresearch-genealogy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Nov 15, 2024

    Useful defaults in autoresearch-genealogy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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