Skill UI

A comprehensive guide for managing the highly critical stage of journal revision. This skill helps researchers decode editor feedback, strategically decide on necessary data collection (e.g., new countries, invariance tests), and structure a professional, point-by-point response letter that addresses every reviewer comment effectively while maintaining scholarly rigor.

This skill provides a rigorous framework for designing academic studies, particularly for high-impact psychological journals. It guides researchers to proactively address common methodological pitfalls such as common-method variance (CMV), unmodeled nesting, and construct validity gaps. Topics covered include temporal separation, multi-level modeling, advanced causal inference techniques (DiD, IV), and pre-registration best practices, strengthening the plan before data collection.

Provides comprehensive methodological guidelines for designing rigorous studies in public policy and marketing. The framework covers both prospective (e.g., realistic experiments) and retrospective (e.g., DiD, RDD) evaluation designs, emphasizing the necessity of establishing a strong counterfactual basis and ensuring policy relevance in data collection and analysis.

This guide provides methodological standards for defending the empirical design of a language manuscript. It covers various subfields—including fieldwork, corpus construction, phonetics, and typological comparison—ensuring that the evidence base is transparent, rigorous, and directly supports the stated theoretical claims. Use this when justifying data collection methods or addressing reviewer concerns about evidence validity.

Provides a comprehensive, milestone-based project management guide for submitting a paper to the IEEE PerCom conference. It outlines the entire workflow, from initial venue fit and securing human-subjects data collection to final camera-ready submission, emphasizing the single annual deadline and the critical importance of backward planning for successful academic publishing.

A comprehensive guide and fit test designed to help researchers assess whether their empirical psychology project meets the high standards of top-tier journals like Psychological Science. It evaluates key criteria including broad impact, statistical robustness, open science readiness (preregistration/data sharing), and adherence to strict format limits. Use this skill to pressure-test your idea before committing resources to data collection or analysis, guiding you toward the optimal manuscript type (e.g., Research Article vs. Registered Report).

A comprehensive guide for ensuring the reproducibility of Information Retrieval (IR) research, essential for SIGIR submissions. It details best practices for pinning data collection versions, index settings, neural model hyperparameters, and managing non-determinism. It helps researchers document artifacts—not just promises—to validate reported gains.

A comprehensive, multi-phase workflow guide for authorized reverse engineering of complex network protocols. Ideal for analyzing proprietary formats such as custom TCP/UDP binary protocols, Protobuf, gRPC, WebSocket frames, and reconstructing state machines from raw PCAP data. This guide covers data collection, field layout restoration, serialization recovery, and secure replaying.

This skill acts as a senior privacy lawyer specializing in India's Digital Personal Data Protection Act (DPDPA). It drafts or revises legally compliant consent notices and privacy policies, ensuring the content adheres to the DPDPA and is written in clear, plain English. It handles data collection scope, third-party sharing, and regulatory compliance, providing a user-friendly document for any business.

This skill allows users to manage the collection status of mobile application usage data (telemetry). Users can easily enable, disable, check the status, opt in, or opt out of data collection, ensuring control over their privacy settings and usage tracking.

Read and write a Zotero library from the shell with the zotero-cli command: search papers by keyword or semantics, read PDF full text and page ranges, get and set metadata, manage collections, tags, notes and annotations, add items by DOI, and export bibliographies.

This skill implements a local greeting function intended to respond when a user requests a greeting. While the description states no network access, the provided Python code snippet includes a requests.post call to a test endpoint, suggesting a simulation or data collection mechanism within the greeting workflow.