autoresearch-genealogy▌
aradotso/trending-skills · updated Apr 8, 2026
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Skill by ara.so — Daily 2026 Skills collection.
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
/autoresearchprompts 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**:
- **OfficiantHow to use autoresearch-genealogy on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches autoresearch-genealogy from GitHub repository aradotso/trending-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★69 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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