Skill UI

A robust Python client wrapper for interacting with the Zotero Web API v3. This skill allows users to programmatically manage academic references, including retrieving, creating, updating, and deleting items, collections, tags, and attachments. Ideal for academic researchers building automated workflows, bulk exporting citations (e.g., BibTeX), or integrating Zotero data into larger research applications.

This tool systematically generates, validates, and ranks concrete, publishable research ideas based on a broad research direction provided by the user. It guides the user through the entire idea discovery pipeline, from initial landscape survey (Phase 1) to validation (novelty checks, experiments) and review, ensuring the generated ideas are novel and relevant for academic publication. It manages complex workflow orchestration and utilizes multiple external tools.

This advanced skill guides users from a broad robotic concept (e.g., 'humanoid grasping') to a highly defined, research-ready hypothesis. It automates a robust four-stage pipeline: literature survey, idea creation, novelty verification, and critical review. The process rigorously enforces academic constraints, prioritizing simulation-first approaches, grounding ideas in established benchmarks (like ManiSkill or Habitat), and ensuring feasibility for real-world robotics development.

This skill generates a structured, section-by-section outline for academic papers. By synthesizing diverse inputs—including research narratives, auto-review conclusions, and experiment results—it guides researchers in structuring their findings into a cohesive draft plan. It also supports optional style references to align the outline's section structure with specific target venues or published works.

Automatically generates structured academic papers in LaTeX format. By integrating a detailed paper plan, the research narrative, and generated figures, this tool structures the content section by section. It supports major conference and journal templates (e.g., ICLR, NeurIPS, IEEE), manages complex citation fetching via DBLP/CrossRef, and allows structural guidance using reference papers. Ideal for drafting the complete manuscript.

This skill transforms vague or fuzzy research directions into highly concrete, elegant, and academically rigorous proposals. It operates through multi-phase, iterative refinement, anchoring the process to the core problem while ensuring the proposed method is minimal, cutting-edge, and ready for publication or implementation.

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

A comprehensive skill for managing academic citations throughout the research and writing process. It guides users through searching major databases (Google Scholar, PubMed), extracting accurate metadata from diverse IDs (DOI, PMID, arXiv), validating citation integrity, and generating standardized BibTeX entries. Essential for maintaining scientific writing accuracy and reproducibility.

A comprehensive tool supporting rigorous, evidence-bounded, and structured peer-review of scientific manuscripts, research protocols, and academic proposals. It guides reviewers through critical assessments of methods, statistics, ethical compliance, reproducibility, and claim-evidence alignment, while strictly enforcing confidentiality and human accountability throughout the review process.

RDKit is a comprehensive cheminformatics library providing robust Python APIs for molecular structure manipulation and analysis. It supports tasks ranging from molecular I/O (SMILES, SDF) and calculating physical descriptors (MW, LogP) to advanced substructure searching, 3D coordinate generation, and chemical reaction modeling. It is an essential toolkit for drug discovery, computational chemistry, and academic cheminformatics research.

This end-to-end pipeline automates the conversion of a completed academic research paper into a full conference talk artifact. It generates a slide outline, Beamer source, editable PPTX, speaker notes, full script, and polished visuals. Critically, it includes rigorous assurance checks (citation, claim, anonymity) to ensure academic integrity, making the output suitable for top-tier conferences like NeurIPS or ICML. Use this when you need the complete, polished presentation package, not just a draft deck.

A comprehensive orchestrator managing the entire academic research lifecycle, from initial research ideation through drafting, rigorous integrity checks, multi-stage peer review, revision, and final publication. It coordinates deep research, paper drafting, and review processes into a structured, reproducible, and quality-gated 10-stage workflow, ensuring academic integrity at every step.