Skill UI

A powerful utility that transforms structured Markdown and JSON artifacts (like research reports, review summaries, or project plans) into polished, single-file HTML views. It ensures artifacts are highly readable for human consumption, maintaining the source Markdown as the canonical truth while adding necessary presentation layers like dashboards or academic layouts.

This meta-skill orchestrates a comprehensive research pipeline for sales professionals. It accepts initial lead requests and systematically performs web searches, reviews public source evidence, and drafts actionable materials. The final output includes a detailed account brief, pain hypotheses, stakeholder maps, personalized outreach emails, and discovery call questions, enabling deep preparation before any sales interaction.

This skill synthesizes user signals gathered from diverse sources—such as interviews, support tickets, NPS verbatims, app reviews, and sales calls—into a single, weighted, and comprehensive insight brief. It moves beyond surface-level feature requests to surface the core underlying user needs, identifies contradictions (divergence), and assigns confidence ratings based on source diversity and weight. Ideal for product managers and UX researchers needing to reconcile complex, mixed data sets.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

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.

This skill generates a structured, non-advisory worksheet for planning trade ideas, basket adjustments, or comparing prediction markets. It helps users methodically review venues, underliers, constraints, and manual execution steps without placing any trades or providing financial advice. Ideal for the research phase of quantitative finance workflows.

A comprehensive framework for planning and executing multi-channel product launch campaigns. This skill guides users through audience research, positioning definition, content strategy (landing pages, emails, social, video), and rigorous review gates to ensure every asset drives conversion and maintains brand consistency across all platforms. Ideal for orchestrating major product releases.

This tool orchestrates the end-to-end process of building a brand-new feature. It automates the entire lifecycle, including initial research, planning, Test-Driven Development (TDD) implementation, code review, and gated commit. Use this when adding a capability that does not currently exist in the system.

This engine serves as a shared, comprehensive orchestration layer for the entire development lifecycle (orch-* skills). It defines a rigorous, gated pipeline—including Research, Plan, TDD Implementation, Review, and Commit—ensuring consistency regardless of the specific operation (e.g., feature addition, defect fixing). It also includes a size classifier to accurately scope the required effort and gates for mandatory human review.

This guide provides a comprehensive workflow for searching and retrieving biomedical literature from PubMed and NCBI. It covers advanced query construction using MeSH terms and specific field tags, advanced filtering (date, publication type), and a repeatable programmatic workflow using NCBI E-utilities (esearch, efetch). Essential for researchers conducting systematic reviews and literature monitoring.