research-wiki
Research Wiki maintains a structured, project-level knowledge base that grows smarter as you add papers, test ideas, run experiments, and capture findings. Every entry connects through typed relationships—papers extend or contradict each other, ideas get tested by experiments, claims gain proof status—so your research compounds rather than scatters. Initialize once, keep it current, query it to avoid re-deriving insights.
Research Wiki builds a persistent knowledge base that accumulates papers, ideas, experiments, and claims across your entire research lifecycle.
AI-generated summary based on this skill's SKILL.md
Install
wanshuiyin/Auto-claude-code-research-in-sleep/research-wiki · repository language: Python
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
cp -r Auto-claude-code-research-in-sleep/skills/research-wiki ~/.claude/skills/research-wikiFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is research-wiki and what does it do?
Research Wiki maintains a structured, project-level knowledge base that grows smarter as you add papers, test ideas, run experiments, and capture findings. Every entry connects through typed relationships—papers extend or contradict each other, ideas get tested by experiments, claims gain proof status—so your research compounds rather than scatters. Initialize once, keep it current, query it to avoid re-deriving insights.
How do I set up research-wiki and run the init command?
Research Wiki's init command creates your persistent knowledge base structure at the project level. Once initialized, you can begin adding papers, ideas, and experiments. The setup establishes the foundation for accumulating research artifacts and their relationships, enabling you to query and track your work as it grows.
How can I ingest arxiv papers into my research wiki?
Research Wiki supports ingesting arxiv papers with metadata and relationships through its sync and backfill workflows. You can add papers by arxiv ID, and the system organizes them with their connections to other entries in your knowledge base. This lets you build a comprehensive paper graph without manual entry overhead.
How do I query my research knowledge base and retrieve connections?
Research Wiki lets you query and retrieve structured research knowledge with relationships and connections. You can search across papers, ideas, and experiments to discover how they relate—which papers extend or contradict each other, which ideas have been tested, and which claims have proof status. This prevents re-deriving the same research paths.
Can research-wiki track failed ideas and prevent duplicate work?
Yes. Research Wiki tracks failed ideas and prevents re-deriving the same research paths by maintaining a persistent memory of what you've already explored. When you query your knowledge base, you can see which approaches didn't work, helping you avoid repeating dead ends and focus on new directions.
What verification and linting tools does research-wiki provide?
Research Wiki includes lint checks to verify your knowledge base for orphans, contradictions, and stale claims. You can also generate statistics overviews and gap maps to understand coverage and identify areas needing attention. These tools help keep your research wiki accurate and complete as it grows.
SKILL.md
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Research Wiki: Persistent Research Knowledge Base
Subcommand: $ARGUMENTS
Overview
The research wiki is a persistent, per-project knowledge base that accumulates structured knowledge across the entire ARIS research lifecycle. Unlike one-off literature surveys that are used and forgotten, the wiki compounds — every paper read, idea tested, experiment run, and review received makes the wiki smarter.
Inspired by Karpathy's LLM Wiki pattern: compile knowledge once, keep it current, don't re-derive on every query.
Core Concepts
Four Entity
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skills/research-wiki/SKILL.md