Skill UI

Applies two-axis scoring, mandatory devil’s advocate reasoning, and persistent history to keep post-task self-reviews honest, resistant to inflation, and suitable for Claude Code sessions.

Per-page Codex review and targeted python-pptx/Beamer fixes for academic talk slides. After /paper-slides when the deck looks mostly OK but needs a final pass, this skill aligns each slide's visual weight with a reference PDF, scales PPTX fonts to projector-readable sizes, removes italic style leaks, fixes text-frame overflow, and corrects per-slide layout drift. Ideal for final visual polish.

This tool generates a detailed, local 'receipt' or impact report of all Claude Code activity recorded in local session transcripts. It cross-references this data with your local Git history to provide a quantifiable measure of effort and project contribution. Ideal for performance reviews, budget justifications, or self-auditing usage.

This comprehensive checklist guides authors through the final necessary checks before submitting a manuscript to AEJ: Economic Policy via the AEA system. It ensures strict compliance with single-blind review rules, JEL code requirements, formatting standards, data availability statements, and disclosure policies, significantly improving the likelihood of a successful submission.

A comprehensive final pre-submission checklist for American Economic Review: Insights. This guide ensures your manuscript meets strict journal requirements, including word count limitations (main text and exhibits), abstract length, author metadata, and adherence to the AEA Data and Code Availability Policy. Use this before submitting to avoid auto-return gates.

This comprehensive preflight checklist guides researchers through the final essential steps before submitting a manuscript to the European Economic Review (EER). It ensures adherence to Elsevier formatting standards, addresses mandatory replication policies (data/code availability), verifies funding declarations, and confirms all necessary fees and ethical statements are in place. Use this guide as the ultimate final check before pressing submit.

A comprehensive preflight checklist for authors submitting to the INFORMS Journal on Computing (IJOC) via ScholarOne. This guide details critical academic publishing standards, including the 25-page limit, single-blind review rules, required LaTeX formatting, and the mandatory structure for the GitHub code/data reproducibility deposit. Use this when performing the final checks before submission.

A comprehensive guide for authors submitting to Nature Geoscience. This checklist covers all necessary pre-submission steps, including verifying word counts, ensuring consistent formatting, completing critical compliance files (data/code availability, reporting summary), and auditing metadata, ensuring your manuscript is fully prepared for editorial review.

This comprehensive checklist guides authors preparing theoretical manuscripts for submission to Psychological Review. It ensures meticulous adherence to APA 7th style, proper manuscript masking, accurate citation practices, and the correct presentation of computational model code, ensuring the paper meets the journal's stringent theory-focused scope.

Guides authors through the rigorous, end-to-end lifecycle of submitting a paper to the Review of Economic Dynamics (RED). It acts as an orchestration checklist, covering critical stages from initial scope definition and quantitative modeling to data archiving, manuscript formatting, fee payment, and handling revisions. It ensures authors maintain methodological rigor and code-first discipline throughout the entire academic publishing process.

This skill activates 'Steno Mode,' providing highly compressed, expert-level responses by eliminating filler words and superfluous tokens (up to 40% reduction). It maintains absolute technical precision, making it ideal for technical communications like code reviews, debugging Q&A, and architecture summaries. Users can select four defined levels (lite, brief, court, machine) to control the density, with exactness always taking top priority.

Rewrites code review comments to sound like a human teammate, removing corporate-AI throat-clearing and providing direct, concrete feedback with line numbers and fixes. Use for PR reviews, humanizing review comments, or generating terse, actionable feedback.