Skill UI

This skill assists in researching prediction markets, treating them as potential data sources or oracle signals for corporate decision intelligence, product development, and agent inputs. It provides source-grounded analysis of implied probabilities, signal quality, and integration patterns, while strictly avoiding investment advice.

This skill reviews prediction market, basket, oracle, and trading-agent workflows to ensure compliance, safety, data quality, and privacy. It must be run before any workflow handles user portfolio data, venue authentication, API keys, or trade planning to mitigate execution and regulatory risks across multiple domains.

This tool synthesizes multiple, scattered research findings retrieved from memory into a single, structured, and actionable report. It automatically grades evidence quality (High/Medium/Low), resolves conflicting claims, and provides concrete, recommendation-based insights, making complex data digestible for decision-making.

A comprehensive tool for importing and validating leads into a CRM. It performs advanced data scrubbing, deduplication, and mandatory compliance checks (GDPR, CCPA). Leads are automatically scored and qualified (MQL/SAL), ensuring that only high-quality, clean data reaches the sales team, while low-scoring leads are automatically routed into nurture sequences. Supports CSV, JSON, and manual sources.

A comprehensive tool for publishing fully optimized blog content to major CMS platforms like WordPress or Webflow. It enforces multiple quality gates, including SEO optimization, brand voice alignment, content scoring, and compliance checks, ensuring drafts are ready for live deployment with scheduling and metadata.

A comprehensive guide for submitting high-quality replication packages for academic journals like the American Economic Journal (AEJ: Micro). This package covers two essential components: self-contained, verifiable proofs for theoretical claims (the Proof Appendix), and a fully reproducible code and data deposit (the Code/Data Repository). It ensures that all numerical results, simulations, and empirical findings can be regenerated by the journal's editor, maintaining the highest standards of scientific transparency.

This comprehensive guide outlines the critical steps authors must take after their manuscript has been accepted by a journal. It guides users through the transition from academic writing to scientific publishing quality control, covering copyright agreements, mandatory metadata filling (e.g., funding, affiliations), rigorous formatting checks (references, formulas, figures), and the multi-stage proofreading (proofsheet) process to ensure zero-defect publication.

This guide provides comprehensive best practices for preparing supplementary materials for major academic conferences like AISTATS. It details the proper structure and handling of appendices, mathematical proofs, code archives, and additional data tables, ensuring that the main paper remains fully understandable even if the supplementary material is ignored by reviewers. Essential for publishing high-quality, robust research.

Guides authors through the final pre-submission quality check for American Anthropologist manuscripts submitted via Research Exchange. It verifies crucial elements such as anonymity stripping, meeting specific word counts, adhering to Chicago author-date style, securing ethics approvals, and ensuring proper metadata (DOIs, ORCID, alt text) are included. Essential for avoiding common rejection reasons.

This guide provides detailed instructions on designing high-quality visual exhibits for academic literature reviews, such as the Annual Review of Sociology (ARSoc). It covers three primary exhibit types: 'Who-found-what' summary tables, conceptual framework figures, and meta-evidence plots. The focus is on synthesizing findings across multiple studies and structuring arguments, rather than presenting new primary estimates or raw data.

A comprehensive guide for creating publication-quality scientific figures, adhering to high-impact journal standards. Covers critical topics such as optimal sizing for print widths, displaying underlying raw data (dot plots, replicates), ensuring colorblind accessibility, structuring stand-alone legends, and maintaining image integrity. Essential reading for researchers preparing manuscripts.

This guide acts as a structured workflow router for scientists preparing manuscripts for high-impact journals like Cell. It doesn't write the paper but diagnoses the current stage (e.g., narrative structure, data deposition, figure quality, citation style) and directs the author to the specific skill needed next, ensuring the manuscript meets the high standards of mechanistic completeness required for publication.