lumi-research-discover

Discover and rank candidate papers or web sources for a research topic.

36|16|Updated May 1, 2026

Search Tags:#research #citations #deduplication #ranking #shortlist #source discovery #metadata-first

Ready to run

npx skills add https://github.com/tronghieu/lumina-wiki --skill lumi-research-discover

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lumi-research-discover
Source: https://github.com/tronghieu/lumina-wiki/tree/main/src/skills/packs/research/discover
Command: npx skills add https://github.com/tronghieu/lumina-wiki --skill lumi-research-discover

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps you quickly find high-quality candidate sources for a research topic and reduce time spent searching before you commit to ingestion.

Core Features & Use Cases

Source discovery with shortlist approval: Proposes and ranks candidate papers or web sources, then stops for user review instead of ingesting automatically.
Deduplication and checkpointing: Avoids duplicates by comparing against existing wiki sources, discovered JSON, and discovery checkpoints.
Purpose-aware ranking: Evaluates how well each candidate aligns with the repository’s stated project purpose and flags off-purpose items.

Quick Start

Ask: “Use /lumi-research-discover to discover and rank a shortlist of sources for my topic: <topic>, dedupe against what I already ingested, and ask me which to ingest.”

Frequently Asked Questions about lumi-research-discover

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find and rank research sources before committing to full PDF ingestion?▼

Source discovery tools find candidate papers or web sources for a research topic, rank them by purpose alignment, and produce a reviewable metadata shortlist for approval before any PDF ingestion or wiki updates occur.

What's the best way to avoid duplicate research papers when discovering new sources?▼

Deduplication during source discovery compares new candidate papers against existing wiki sources, discovered JSON files, and discovery checkpoints to prevent duplicate research sources from entering your repository.

Can I review candidate research sources before they are automatically added to my wiki?▼

Yes, metadata-first source discovery proposes and ranks candidate papers, then stops for user review and shortlist approval instead of automatically ingesting sources or mutating existing wiki state.

How does purpose-aware ranking evaluate candidate papers for a research repository?▼

Purpose-aware ranking evaluates how well each candidate source aligns with your repository’s stated project purpose, ranking relevant papers higher and flagging off-purpose items for exclusion from the shortlist.

Do I need to provide specific input formats to start discovering research sources?▼

You need to provide a research topic and have reading discovery setup and source-mode references available, allowing the tool to deduplicate and write candidate metadata JSON under raw/discovered without mutating wiki.

What limitations exist with metadata-only source discovery for research workflows?▼

Metadata-only source discovery strictly limits the workflow to finding and ranking candidate papers, writing candidate metadata JSON without ingesting PDFs, updating wikis, or mutating any existing repository state.

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