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.