retrieve

Name: retrieve
Availability: InStock
Author: Agents4Academia-AI

Retrieve research notes and concept pages via BM25 search and wikilink traversal.

9|Updated Jul 1, 2026

Search Tags:#research #knowledge management #retrieval #synthesis #wikilinks #bm25

Ready to run

npx skills add https://github.com/Agents4Academia-AI/UReKA --skill retrieve-agents4academia-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: retrieve
Source: https://github.com/Agents4Academia-AI/UReKA/tree/main/.claude/skills/retrieve
Command: npx skills add https://github.com/Agents4Academia-AI/UReKA --skill retrieve-agents4academia-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of fragmented research by enabling intelligent, link-aware discovery across your personal knowledge base of papers, notes, and concepts.

Core Features & Use Cases

Contextual Retrieval: Uses BM25 indexing to find relevant seed notes and expands the search by traversing wikilinks.
Knowledge Mapping: Identifies connections between objective paper summaries and personal annotations.
Use Case: When researching a complex topic like RLHF, use this skill to gather all related papers, concept definitions, and your own notes into a single, navigable set of references.

Quick Start

Use the retrieve skill to find all notes and linked concepts related to the topic of reinforcement learning from human feedback.

Frequently Asked Questions about retrieve

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

FAQPage Schema

How do I retrieve connected research notes and papers from a local knowledge base?▼

To retrieve connected research notes, this skill uses BM25 keyword search to find seed notes and expands the context by recursively traversing wikilinks across your structured directories. It gathers papers, notes, and concepts into a navigable set for research synthesis.

Can I find related concepts and paper summaries using wikilink traversal?▼

Yes, you can find related concepts through wikilink traversal. The skill maps connections between objective paper summaries and personal annotations by following recursive links, building a comprehensive context set from your knowledge base.

Does the knowledge retrieval process require external API dependencies?▼

No, the knowledge retrieval process requires no external API dependencies. It operates entirely through local execution of Python-based retrieval scripts to index files and resolve file paths within your structured directories.

What's the best way to gather all notes on a complex topic like RLHF for synthesis?▼

The best way to gather notes on a complex topic is to use BM25 indexing combined with recursive wikilink traversal. This identifies seed notes and expands across sources, papers, and concepts to build a single navigable reference set.

Do I need Python to index local research notes and resolve file paths?▼

Yes, you need Python to index local research notes. The skill relies on local execution of Python-based retrieval scripts to perform BM25 indexing and resolve file paths without external dependencies.

Why does local knowledge base search combine BM25 with wikilink traversal?▼

Local knowledge base search combines BM25 with wikilink traversal to solve fragmented research. BM25 finds relevant seed notes by keyword, while recursive link expansion maps connections between papers and concepts for comprehensive context.