Skill UI

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 tool functions as a command-line interface (CLI) alias for conducting a structured PUA survey. It guides the user through the survey process, collects confidential local responses, and manages configuration data in `~/.pua/config.json`. It is designed for seamless integration within developer environments using Codex/Claude Code.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

A comprehensive guide for academic researchers on designing, auditing, and reporting rigorous studies (experiments, field deployments, surveys, etc.) for Human-Computer Interaction (HCI) papers. It details best practices for quantitative power analysis, qualitative thematic analysis, ethical reporting, and mixed-methods integration to ensure research claims are strongly supported by evidence.

A comprehensive guide for designing and auditing empirical research in CSCW. It emphasizes methodological pluralism, defining distinct standards of rigor for various techniques like ethnography, trace analysis, surveys, and mixed methods. The guide mandates pre-design planning, explicitly addressing ethical concerns, unit of analysis, and aggregation logic before data collection.

A comprehensive guide for positioning highly technical research in top-tier academic venues like ISCA. It instructs authors on deep literature surveying across multiple databases (ACM, IEEE, dblp, arXiv), structuring the 'related work' section using structural differentiation (mechanism delta), and adhering to double-blind review guidelines. Essential for advanced technical paper writing.

This guide details the critical 'proposal-first' approach for submitting survey articles to the Journal of Economic Literature (JEL). It walks authors through crafting a compelling ~10-page sketch, covering the required structure, from defining the field and animating question to outlining the organizing framework and provisional conclusions. Learn how to maximize your chances of securing a commission from the journal editor.

This guide provides a rigorous framework for positioning scholarly manuscripts for highly specialized journals like Public Opinion Quarterly (POQ). It emphasizes that a successful paper must engage with both the substantive academic debate (e.g., opinion theory) and the foundational methodological lineage (e.g., nonresponse, survey error). It teaches authors how to precisely define the research gap, articulate the contribution's move, and pre-empt common methodological objections from expert reviewers.