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Preparing Camera-Ready Conference Papers

rss-camera-ready

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide detailing the process of transforming an anonymous, accepted academic paper into its final, public camera-ready version. Covers de-anonymization, restoring full author affiliations, adding external links, generating DOIs, and preparing for a full conference presentation.

Empirical Analysis Execution Bridge

rt-execution-bridge

brycewang-stanford/Awesome-Journal-Skills

This skill bridges theoretical econometric designs (DiD, IV, RDD, SCM, DML) to concrete, audited statistical estimates. It orchestrates the necessary tool calls to fit models, generate comprehensive diagnostics, and report reliable findings, ensuring that every academic claim is backed by executable, traceable code. Essential for advanced causal inference research.

Journal Match Tool

rt-journal-match

brycewang-stanford/Awesome-Journal-Skills

Profiles a paper and matches it to suitable academic journals from an index of 743 venues, ranking candidates into reach, match, and safe categories with a resubmission ladder. Ideal for authors deciding where to submit or resubmit after rejection.

Drafting Response to Referee Reports

rt-response-to-referees

brycewang-stanford/Awesome-Journal-Skills

This comprehensive tool guides researchers in drafting rigorous, point-by-point responses to referee reports (R&R). It ensures that every comment is systematically addressed, classifying fixes and providing structured revisions. Critically, it mandates that all substantive fixes must be backed by real, reproducible re-runs, citing specific numbers generated via an execution bridge to maintain scientific rigor.

Simulated Academic Referee Review

rt-simulated-referee

brycewang-stanford/Awesome-Journal-Skills

A protocol designed to rehearse the rigorous academic peer review process before actual submission. It simulates an Associate Editor's initial desk-screen and incorporates multiple independent referee perspectives (e.g., identification, robustness). The output provides a calibrated decision band and a prioritized, skill-mapped list of required fixes, helping authors predict and address potential weaknesses.

Git Scope Creep Detector Tool

scope-creep-detector

Shubhamsaboo/awesome-llm-apps

This specialized tool analyzes Git diffs against a stated development intent to detect scope creep. It identifies overly broad pull requests, unrelated files, dependency additions, public API renames, or configuration changes. It guides users on whether changes should be kept, split into separate commits, or if the connection requires explicit justification, ensuring clean and focused code merges.

Sensor System Evaluation Rigor Checklist

sensys-experiments

brycewang-stanford/Awesome-Journal-Skills

This guide provides a comprehensive audit checklist for designing and evaluating sensor-based systems (SenSys). It mandates rigorous, real-world measurements across five core axes: energy efficiency, on-device latency distribution, ground truth accuracy, deployment realism, and embedded AI footprint. It ensures that research results are based on measured hardware performance, not simulations or idealized baselines.

Writing Related Work in Systems Papers

sensys-related-work

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide for authors submitting to top systems conferences (e.g., SenSys, MobiCom). It details how to structure the Related Work section by sweeping multiple literature lanes (IoT, embedded AI, networking), proving citation venues, and most importantly, distinguishing your novel mechanism from the single nearest prior system with concrete, measurable differences. Essential for academic publication rigor.

SenSys Conference Submission Guidelines

sensys-topic-selection

brycewang-stanford/Awesome-Journal-Skills

This comprehensive guide outlines the strict criteria for submitting a paper to the SenSys conference after the 2026 merger. It clarifies that the core contribution must be a built, measured sensing or embedded system, demonstrating value based on physical resources like energy, memory, and latency on real hardware, rather than being a pure algorithm or networking mechanism.

Engineering Guide for Sensing Systems Papers

sensys-writing-style

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide detailing the required structure and technical rigor for writing papers in sensing and embedded systems (SenSys). It mandates replacing vague adjectives with concrete, measured metrics (e.g., energy in joules, latency in milliseconds) and structuring the argument around a clear 'pain $\to$ gap $\to$ mechanism $\to$ measured behavior' arc on the first page. Essential for academic researchers and engineers.

Crafting R&R Response Letter for SF

brycewang-stanford/Awesome-Journal-Skills

This guide provides a comprehensive strategy for responding to a Revise-and-Resubmit (R&R) decision, particularly for Social Forces submissions. It teaches users how to systematically address every reviewer comment, reconcile conflicting demands, and maintain methodological rigor while strictly adhering to tight word and panel limits.

Defending Research Design for Social Forces

sf-research-design

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide on methodological rigor for submitting manuscripts to Social Forces. It covers designing causal inference (panel/DID/IV/RDD), demographic analysis, comparative-historical case selection, and network/computational methods. The focus is on strengthening the design by rigorously defending assumptions and ruling out alternative explanations, ensuring methodological soundness beyond mere association.

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