Skill UI

This skill automates the process of transforming high-level product specifications, requirements, and design documents into a detailed, actionable, and executable task plan. It follows a multi-stage workflow, including context loading, parallel research, and two rigorous review gates (Task Plan Review and Task-Graph Sanity Review). The output provides properly sized (1-3 hours), logically sequenced tasks, ensuring every requirement is covered and dependencies are explicitly managed, dramatically improving project planning accuracy.

A comprehensive mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

A specialized technique for locating the full legal birth name of European actors, particularly French actors, who frequently use stage names. This process involves a two-phase search: first, identifying the stage name using general career clues (films, era, director); second, using specific queries like "birth name," "née," or "nom de naissance" to bypass the stage name and find the legal name. Ideal for deep biographical research.

This skill provides instant, LLM-optimized summaries of single research papers sourced from arXiv/AlphaXiv. It utilizes a tiered fallback system (Overview → Markdown → LaTeX Source) to ensure deep understanding. It is ideal for quickly grasping the core findings, methodology, and key details of one specific paper without needing to perform broad literature searches or multi-paper surveys.

Provides techniques and indicators for researching music bands from non-Western cultures (e.g., African, Asian, Middle Eastern). This guide helps users move beyond mainstream Western databases, offering search strategies for bands whose information is often found on regional sites or through unique contextual clues like recording conditions or historical milestones.

This advanced skill performs a multi-layered audit of every bibliographic citation in a research paper. It verifies the Existence of the cited work, checks the correctness of its Metadata (authors, year, venue), and critically, assesses if the cited paper actually supports the specific claim made in the surrounding context. Ideal for running before paper submission to guarantee academic integrity and prevent citation hallucinations.

This expert tool functions as a comprehensive competitive intelligence analyst. It takes a list of competitor URLs and generates highly structured, multi-faceted profile documents. The process combines live website scraping (for features, pricing, and positioning), quantitative SEO data retrieval, and user review analysis. Ideal for market research, competitive benchmarking, and creating detailed product comparisons.

A comprehensive guide for setting up the Finta fundraising CRM account. This skill assists users with initial onboarding, connecting critical data sources like Gmail, Outlook, and Google Calendar to automatically track investor communications and meeting activities. It is essential for managing the entire fundraising pipeline, from initial research to closing a term sheet.

Executes the comprehensive workflow for claiming Research & Development (R&D) tax credits through Fondo. This skill guides users through qualifying R&D expense calculation, prepares the necessary Form 6765, and manages the payroll tax offset process for startups, potentially saving up to $500,000 annually.

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

A comprehensive skill designed to query and download large-scale public cancer imaging data from the NCI Imaging Data Commons (IDC). Utilizing the idc-index package, users can access diverse modalities, including radiology (CT, MR, PET) and pathology datasets. The tool supports complex metadata querying, subset selection by cancer type or anatomical site, and visualization, making it essential for AI model training and scientific medical research. No authentication is required for data access.

This structured skill guides users through root-cause-first debugging when an implementer is blocked, verification fails, or repeated attempts at fixing do not converge. It mandates a systematic approach combining local evidence inspection, runtime analysis, and external documentation research to accurately classify the failure's true source (e.g., missing dependency, spec conflict). It prevents speculative patching and generates a clear, actionable fix plan.