Skill UI

Repo-scan is a powerful tool designed for comprehensive auditing of large and complex codebases, especially monorepos. It performs cross-stack analysis across C++, Android, iOS, and Web technologies. Key features include classifying files (core code, third-party, build artifacts), identifying known libraries, and assessing code modules into four stages: Core, Extract, Refactor, or Deprecate. Essential for planning major refactoring efforts or inheriting legacy systems.

Provides a comprehensive dashboard for monitoring all connected and available third-party connectors (MCP). Users can check the status of critical marketing tools like CRM, SEO, and advertising. This skill helps identify active capabilities, highlights recommended next connections, and guides setup processes to maximize skill usage.

This guide details the rigorous data analysis and reporting standards required for top-tier academic journals, such as AJPS. It focuses intensely on reproducibility, ensuring that all results—from primary findings to exploratory models—are generated by a single, seeded master script. Key requirements include reporting uncertainty intervals, proving robustness, adhering to pre-registration discipline, and accommodating mandatory third-party code verification. Use this when conducting complex empirical research in social sciences or political science, needing to withstand intensive methodolo...

A comprehensive guide for authors submitting revisions to top-tier academic journals, such as AJPS. It details the strategy, structure, and specific constraints required for the response memorandum following a Revise & Resubmit (R&R) decision. The guide emphasizes addressing every reviewer comment, reconciling conflicting demands, maintaining double-blind anonymity, and ensuring all new analyses are fully reproducible for third-party verification.

Provides a detailed guide on the mandatory pre-publication replication and verification process for American Journal of Political Science (AJPS). It instructs authors on building a robust, reproducible package—including code, data, and documentation—that an independent third party can re-run to confirm all numerical findings match the main text before publication.

This guide details the multi-stage, rigorous review process for the American Journal of Political Science (AJPS). It covers the mechanics of double-blind screening, editorial fit assessment, expert peer review, and the unique, critical post-acceptance third-party verification step. It is designed to help authors anticipate and mitigate potential rejection issues by structuring and refining their manuscripts to meet top-tier academic standards.

This guide outlines the stringent standards for creating tables and figures (exhibits) for the American Journal of Political Science (AJPS). It emphasizes that exhibits must be self-contained, highly accessible, and, critically, regenerated exactly by deposited code for third-party verification. It provides best practices for structuring research results, managing word counts by differentiating between core arguments in the main text and supporting details in the Supporting Information (SI).

This is the comprehensive orchestrator for submitting manuscripts to the American Journal of Political Science (AJPS). It guides users through the entire academic writing lifecycle, helping them determine the correct submission type (Article, Research Note, Correspondence) and ensuring critical steps, such as mandatory third-party code verification, are integrated from the start. It dispatches to specific sub-skills rather than drafting content.

A comprehensive guide for authors submitting research to CVPR, detailing best practices for packaging code, models, and datasets. It covers requirements for review-time reproducibility (sealed-box rules) and long-term public release (licensing, provenance, and version pinning), ensuring that the work is runnable by any skeptical third party.

A comprehensive guide for microarchitecture researchers on achieving rigorous scientific reproducibility. It mandates tracking every critical artifact—including simulator commits, workload traces, power/area models, and RTL toolchains—and compiling them into a single run manifest, ensuring any reported result can be verified by a third party.

Conduct comprehensive GDPR compliance assessments covering Article 30 records, lawful basis validation, data subject rights, DPIAs, breach notifications, and international transfers. Ideal for internal audits, third-party processor reviews, M&A due diligence, and supervisory authority inquiries involving EU personal data.

Captures a short user pitch, then drafts a product overview (PRD.md) and technical design (ARCHITECTURE.md) for a third-party .ppmplugin native control. Walks through every operation's iOS and Android implementation strategy with opinionated recommendations and iterates with the user until approval. The resulting docs serve as the source of truth for downstream code-generation skills.