Skill UI

This utility is designed to reconcile the ADR (Architecture Decision Record) index when source files have been deleted or modified, preventing the accumulation of stale or dangling reference rows. Unlike simple upserts, this tool performs a hard purge of the entire index namespace (adr-patterns and adr-edges) and then fully rebuilds the index from the files currently present on disk. It is crucial for maintaining data integrity after deletions.

Hallmark is a specialized design skill engineered for AI coding assistants. It enforces deep structural variety and aesthetic sophistication, ensuring generated UIs look professionally 'made' rather than generically templated. Users can invoke Hallmark to build new pages (default), audit existing designs for anti-patterns, redesign components while preserving intent, or extract the 'DNA' (structure, archetypes, color) from existing URLs or screenshots for reference.

This skill generates detailed, multi-dimensional buyer personas that go far beyond basic demographics. It captures psychographic drivers, jobs-to-be-done (JTBD), behavioral patterns, and purchase objections. Use it to inform comprehensive marketing strategies, content creation, and product positioning for B2B or B2C audiences.

This tool performs deep customer cohort analysis to understand retention patterns, lifetime value (LTV), and the long-term impact of various acquisition channels and initial behaviors. Users can segment customers by time, source, or revenue tier to identify high-value groups, optimize onboarding, and improve overall customer retention strategies. Ideal for SaaS, eCommerce, and B2B businesses tracking customer lifecycle.

This guide provides a rigorous framework for defending causal identification claims in empirical microeconomics, tailored for top-tier journals like AEJ: Applied. It covers modern techniques and anti-patterns for RCTs, Difference-in-Differences (DiD), Regression Discontinuity (RDD), and Instrumental Variables (IV), ensuring the mapping from variation to the causal estimand is explicit, defensible, and falsifiable.

This comprehensive guide details the structured method for drafting author responses to peer reviewers' comments for major conferences like AISTATS. It covers best practices for addressing statistical validity, novelty, and technical concerns in a constrained, anonymous, text-only format. Learn how to triage objections, anchor claims to existing evidence, and handle specific statistical pushback patterns.

This skill prevents AI coding agents from generating generic interfaces by leveraging over 800,000 real web and iOS screens. It helps define design contracts, cover required states, and enforce quality gates during design, implementation, or review. Compatible with agents like Cursor, Copilot, and Claude Code, it ensures product-specific UIs grounded in actual user experience rather than hallucinated patterns.

A comprehensive set of reusable patterns for structured incident triage in AWS environments. Includes pre-built Logs Insights queries for detecting errors, latency spikes, cold starts, and OOM events. Also provides systematic correlation methods linking CloudWatch alarms to deployment events, and a decision tree to narrow the blast radius scope from account to resource.

A comprehensive guide for authors preparing a rebuttal response for major academic conferences (like CCS). It teaches strategic communication, focusing on triaging decision-critical issues (threat model, ethics, novelty), structuring arguments by conceding strong points, anchoring claims to existing evidence, and avoiding over-promising. Essential for authors facing adversarial review patterns.

A comprehensive guide for authors targeting global ecology and biogeography journals. It assists in evaluating whether a manuscript addresses global or large-scale patterns of biodiversity, tests macroecological theory, and meets rigorous spatial-statistical standards. Covers scope, methodology, and submission best practices.

This comprehensive skill assists authors in evaluating the suitability and optimal framing of their computer science manuscript for the International Conference on Discovery Science. It provides deep, venue-specific guidance on required evidence, scope vocabulary (e.g., automated discovery, explainable patterns), and structural adjustments needed to emphasize the scientific discovery process, rather than just predictive results. Essential for optimizing high-level conference submission strategy.

A comprehensive project management guide designed for managing high-stakes scientific conference submissions (e.g., INTERSPEECH). It maps the rigorous annual cycle, from initial drafting and submission deadlines to camera-ready production and final conference presentation. The guide outlines specific milestones, roles, risk patterns, and backward planning techniques to ensure timely and high-quality project completion.