research-wiki

Maintains a persistent research knowledge base linking papers, ideas, experiments, and claims.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/xqinag/ARIS-new --skill research-wiki-xqinag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-wiki
Source: https://github.com/xqinag/ARIS-new/tree/main/skills/research-wiki
Command: npx skills add https://github.com/xqinag/ARIS-new --skill research-wiki-xqinag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persistent, project-wide knowledge capture for papers, ideas, experiments, and claims with structured relationships and auto-generated artifacts to support research workflows.

Core Features & Use Cases

  • Ingest papers, manage ideas, track experiments, and capture evidence in a connected wiki.
  • Build a graph of relationships between papers, ideas, experiments, and claims to support traceability and reuse.
  • Auto-generate index, query_pack, and logs to enable fast retrieval and context-aware tool use.

Quick Start

Initialize the wiki with /research-wiki init and start ingesting papers with /research-wiki ingest_paper.

Frequently Asked Questions about research-wiki

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

FAQPage Schema
How do I build a persistent research knowledge base from arXiv papers?

You can build a persistent research knowledge base by ingesting arXiv papers and manual entries, which the system links into a structured graph of ideas, experiments, and claims. It auto-generates query packs and index artifacts for fast retrieval.

What is the best way to track experiments and link them to literature?

Track experiments and link them to literature by ingesting papers and capturing claims within a connected wiki. The system auto-generates graph edges between your experiments and papers to support traceability and reuse across workflows.

How do I ingest papers into a research wiki to start a literature review?

Initialize the wiki with a helper script and use the ingest command to add papers. This enforces a canonical schema and auto-generates graph edges, query packs, and logs to support your literature review workflow.

Can I capture manual research ideas alongside auto-generated paper data?

Yes, you can capture manual ideas alongside ingested arXiv-backed papers. The system maintains a canonical schema that links both manual entries and paper data into a unified knowledge graph for evidence tracking.

Does the research wiki support evidence tracking and hypothesis testing?

The research wiki supports evidence tracking and hypothesis testing by maintaining structured relationships between claims, ideas, and experiments. It coordinates data flows and generates artifacts for context-aware retrieval across these workflows.

What are the limitations of using a graph-based knowledge base for research?

The graph-based knowledge base requires adherence to a canonical schema and relies on a single helper script to coordinate data flows. It is designed specifically for structured relationships rather than unstructured note-taking.