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Elijah-J
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grounded-reading-list

Generate a prioritized reading list using local FTS5 search and OpenAlex augmentation.

Updated Aug 27, 2026
Search Tags:#bibliography#openalex#local-index#reading-list#literature-map#grounded-reading#research-curation
One-click install
npx skills add https://github.com/Elijah-J/InfoScraper --skill grounded-reading-list
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grounded-reading-list
Source: https://github.com/Elijah-J/InfoScraper/tree/main/.agents/skills/grounded-reading-list
Command: npx skills add https://github.com/Elijah-J/InfoScraper --skill grounded-reading-list

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers and engineers quickly assemble high-quality, topic-grounded reading lists by combining a local search index with OpenAlex-derived results, saving time and improving coverage.

Core Features & Use Cases

  • Local grounding: Leverages the repo's FTS5 index to surface relevant papers, reports, and documentation around a topic.
  • OpenAlex augmentation: Enriches results with OpenAlex metadata for deduplication, provenance, and citation context.
  • Reading-list generation: Produces focused, balanced bibliographies suitable for literature maps, OpenAlex bibliographies, and decision-ready targets.

Quick Start

Provide a topic or question and run the grounded-reading-list workflow to generate a grounded scholarly reading list.

Frequently Asked Questions about grounded-reading-list

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

FAQPage Schema
How do I generate a grounded reading list from a local research index?▼

Generate a grounded reading list by querying a local FTS5 index for relevant documents on a topic, then augmenting and deduplicating those results with OpenAlex metadata to produce a curated bibliography.

What is local grounding for research curation and why use it with OpenAlex?▼

Local grounding for research curation uses a local FTS5 index to prioritize existing repository documents, while OpenAlex augmentation provides external metadata for deduplication, provenance, and expanded literature map coverage.

Do I need Python tooling to build an OpenAlex bibliography with local document search?▼

Yes, building this OpenAlex bibliography requires Python tooling, specifically the shared.index module and openalex_fetcher suite, to execute local indexing, searching, deduplication, and report generation.

What's the best way to deduplicate research papers when combining local and OpenAlex results?▼

The best way to deduplicate combined research papers is to apply OpenAlex metadata enrichment during augmentation, matching external citations against local FTS5 search results to curate a unified, balanced reading list.

Can I create a literature map from a local FTS5 index without external dependencies?▼

Creating a literature map from a local FTS5 index alone lacks external citation context, so OpenAlex augmentation is applied to expand coverage, deduplicate works, and provide provenance for decision-ready research curation.

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