Skill UI

A comprehensive framework for structuring deep-dive product data analysis, including funnel analysis, metric triage, and cohort studies. This guide forces the analyst to answer four critical questions: What changed, Why did it change, What is the impact, and What should we do next, ensuring insights lead directly to actionable business recommendations.

Generates a comprehensive, professional, and honest monthly or quarterly investor update. This skill helps founders structure progress reports by including key metrics, major wins, candid challenges, and specific, actionable asks, tailored for early-stage and growth investors.

A comprehensive skill that automates the entire process of creating professional, production-ready thumbnails for articles or newsletters. It reads the article copy, proposes multiple composition concepts (e.g., bold claim, conceptual object), writes tailored prompts, calls the Gemini API for image generation, and evaluates the results using computer vision, returning ranked candidates with rationale.

This skill performs a deep comparison of two code versions to verify semantic equivalence, going beyond simple syntax diffing. It uses semi-formal tracing techniques to trace both versions against shared specifications and boundary conditions (e.g., null, zero, max/min). Ideal for confirming if a refactor, rewrite, or migration has unintentionally altered the code's behavior, answering the question: "Did I break anything?"

WorkorAI is a comprehensive talent marketplace skill designed for agents. It supports candidates in searching jobs, managing applications, and tracking job status. For employers, it manages the entire job lifecycle and provides advanced candidate discovery, ranking candidates with detailed "white-box" match explanations (fit score, proven skills, gaps) instead of simple black-box scores. It facilitates the entire hiring workflow.

This skill is designed to rewrite a previous, lengthy response into a significantly more concise version. It ensures that the core meaning and all essential information are preserved, making it perfect for users who need a quick summary or a TLDR (Too Long; Didn't Read) version without losing critical details.

This skill guides the architectural design of an Itô Data Atlas agent for advanced quantitative research. It facilitates market discovery, constructs candidate prediction-market baskets, drafts necessary parameter changes, and integrates human-in-the-loop review. It is strictly for workflow and architectural planning, and does not execute live trading orders.

A structured workflow designed to prevent 'reinventing the wheel.' Before writing custom code, this skill guides the user through analyzing needs, conducting parallel searches across multiple channels (npm, PyPI, GitHub, MCP), evaluating candidate solutions based on maintainability and community support, and making a decision (Adopt, Extend, or Custom Build). It ensures that solutions leverage existing, proven libraries and patterns.

This tool performs a comprehensive audit of the project's stored auto-memory. It analyzes learned knowledge to identify actionable patterns for promotion to core rules, flag stale or outdated entries, and suggest opportunities for consolidating redundant knowledge. Use it after major development phases or when the memory knowledge base becomes crowded to maintain system knowledge quality.

This guide provides comprehensive econometric methodologies for establishing causality in accounting and finance research. It covers advanced techniques such as Difference-in-Differences (DID), Propensity Score Matching (PSM), Heckman selection models, and Instrumental Variables (IV), emphasizing the correct handling of regulatory changes and external shocks to meet top-tier academic standards.

This guide helps researchers determine if their applied microeconomics work meets the rigorous standards of the American Economic Journal: Applied Economics (AEJ: Applied). It serves as a pre-submission checklist, detailing the required depth of causal identification (e.g., RCTs, DiD, IV), methodological robustness, expected manuscript structure, and avoiding common desk-reject pitfalls. Essential for high-quality academic writing.

This skill guides authors through the rigorous requirements of American Economic Journal: Economic Policy. It helps evaluate whether an applied economics manuscript meets the journal's high bar, focusing specifically on the joint criteria of sound causal identification (DiD, IV, RDD) and clear, impactful policy relevance. Use it to re-frame arguments and check against best practices for policy evaluation.