Skill UI

Create a vertical funnel infographic for 3-6 stage conversion, screening, or loss processes. Ideal for marketing funnels, hiring pipelines, and decision filters, with clear stage widths, conversion rates, and leakage insights.

This guide helps researchers determine if their academic topic possesses sufficient breadth of interest for major, general-interest economics journals, such as the European Economic Review (EER). It provides frameworks and checklists to diagnose whether a contribution is too niche or if it can be successfully reframed to appeal to a non-specialist audience, ensuring it passes initial desk-reject filters.

This guide helps researchers evaluate if their research question is sufficiently focused on core entrepreneurial mechanisms (e.g., opportunity, effectuation, new venture creation) and if ETP is the appropriate academic home. It provides critical filters (substitution, conversation, practice) to ensure the work is theory-forward and highly relevant to the entrepreneurial discipline.

This guide provides best practices for empirical design and microstructure measurement in financial markets. It covers cleaning high-frequency TAQ/order-book data, constructing robust liquidity, spread, and price-impact measures, and meticulously documenting all sample filters and calculation assumptions. Essential for academic research where measurement rigor and transparency are paramount.

This comprehensive guide assists in executing and documenting rigorous empirical finance research, tailored for top-tier journals like JFQA. It covers the entire pipeline, including complex financial data construction (CRSP, Compustat), advanced data cleaning (winsorizing, outlier handling), and sophisticated econometrics (fixed effects, clustered standard errors, Fama-MacBeth). The core focus is achieving absolute reproducibility, ensuring that all filters, robustness checks, and analytical steps are meticulously documented for archival and peer review.

This guide helps researchers determine the most appropriate conference (UAI, AISTATS, NeurIPS, ICML, etc.) for their work, particularly when the core contribution revolves around uncertainty representation, probabilistic reasoning, or causal inference. It provides detailed filters and comparison points to refine the paper's scope and target audience.

Guides users to select a local, on-device Personally Identifiable Information (PII) detection model from a committed registry. It filters models based on language, required runtime environment (e.g., PyTorch, MLX), and size constraints. The process emphasizes building an offline shortlist and mandates rigorous pre-deployment recall validation and performance benchmarking to ensure secure, privacy-preserving deployment.

This skill processes raw mentions of conditions and diagnoses extracted from clinical notes. It performs synonym deduplication, filters out negated or hypothetical mentions, and assigns a structured clinical status (active, resolved, or historical). The output is a clean, reconciled problem list, structured for USCDI Problem or FHIR Condition elements.

This skill estimates the download size and sync frequency cost of an offline profile before pushing it to users. It performs read-only diagnostics, verifying the profile, counting rows per table with scope filters, and calculating cache size. Useful for sanity checks before setup or assignment to prevent data cap surprises.

Knap is a command-line tool that renders Markdown templates using structured data like JSON or CSV. It supports variables, filters, and logic to batch-generate notes, format Defuddle output, and validate templates. Ideal for developers automating note creation and content processing workflows.

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. It also covers creating and uploading datasets, and uploading agent traces.

This skill enables the identification and exploitation of client-side DOM vulnerabilities, including DOM Clobbering, PostMessage bypasses, Service Worker abuse, and CSS exfiltration. It is designed for authorized security assessments to discover high-value attack chains that bypass server-side filters. Users must obtain explicit written permission before testing any target.