skyllwt

Facilitates the addition, removal, or updating of wiki content and raw sources based on user requests.

Generates academic posters from written papers, summarizing chapters into a single HTML format with images and transitions.

Enables users to query a wiki, synthesize answers, and optionally crystallize findings back into the wiki for enhanced knowledge management.

Analyzes wiki health issues and generates detailed fix recommendations for structural and content consistency.

Manages daily arXiv recommendations with automated setups and email digests, enhancing research paper discovery.

Generates a ranked shortlist of academic papers based on user queries, aiding in research and discovery of related work.

Facilitates comprehensive experiment design through iterative ablation and sensitivity analysis for idea validation.

Monitors running experiments, collects data, and advances research pipelines automatically for efficient project management.

Facilitates high-quality research idea generation through a structured 5-phase pipeline, enhancing innovation and knowledge management.

Ingests academic papers into a wiki, creating interconnected pages and cross-references for enhanced knowledge management.

Bootstraps a wiki from user sources and ingests papers in parallel, enhancing research organization and accessibility.

Verifies the novelty of research ideas using multiple sources, providing scores and recommendations for further action.

Compiles LaTeX papers to PDF, auto-fixes errors, and verifies submission requirements for academic writing.

Generates a complete LaTeX paper from a structured plan, integrating wiki sources, figures, tables, and citation verification.

Seeds foundational knowledge into a wiki to prevent duplicate concept pages, enhancing research efficiency.

Evaluates experimental results to update research hypotheses and wiki knowledge, providing verdicts on idea validation.

Evaluates pilot experiment results, updates idea pages, and generates detailed reports for informed decision-making.

Executes pilot experiments by reading YAML specs, running code, and returning results while ensuring user confirmation before operation.

Facilitates a comprehensive experiment execution pipeline, ensuring user confirmation and monitoring for effective result collection.

Compiles a structured paper outline from an idea graph, ensuring evidence-based narrative and citation plans for academic submissions.