research-wiki

You can build a persistent research knowledge base by ingesting structured entries for papers, ideas, experiments, and claims. The Skill manages relationships between entities and supports operations like ingest, sync, query, update, lint, and stats.

Yes, you can track relationships between research papers and claims. The Skill handles structured relationships including extends, contradicts, addresses_gap, inspired_by, tested_by, supports, invalidates, and supersedes.

You need Python3 and Bash scripting to set up this research knowledge base. Initialize the environment by running the `/research-wiki init` command to start accumulating your structured research data.

Yes, the research knowledge base supports querying and generating summaries. You can explore your accumulated papers, ideas, experiments, and claims to extract insights and review your research lifecycle.

You manage the research lifecycle by using the Skill to propose, test, and track research ideas, alongside documenting and analyzing experiments. It accumulates this structured data across the entire research lifecycle.

The Skill requires Bash and Python3 dependencies for research lifecycle management. It is an Advanced implementation depth tool utilizing scripts and references, meaning users need scripting familiarity to operate it effectively.