Skill UI

A systematic tool for scientific inquiry, guiding users through the entire research process. It helps formulate testable, mechanistic hypotheses from raw observations or preliminary data, following the established scientific method. The workflow includes comprehensive literature review, evidence synthesis, generating competing explanations, and designing experiments, all while mandating the creation of scientific schematics for visualization.

This comprehensive tool guides the systematic creation of detailed technical specifications. It orchestrates the entire design lifecycle, including context loading, deep discovery and analysis (tailored for new features, extensions, or simple additions), synthesis using established design principles, and generating a boundary-first, structured design draft. Ensures all requirements are mapped to explicit technical components.

This powerful tool performs real-time, multi-backend research lookup by intelligently routing queries to the optimal source. It supports fast web searches, deep multi-source synthesis (Chat API), and scholarly paper searches (Perplexity). Use it to collect verifiable statistics, research market trends, verify scientific claims, or gather reliable citations for academic and technical writing.

This skill provides comprehensive guidance and functionality for creating professional, visually stunning, and academically rigorous slide decks. Designed for research talks, conference presentations, and thesis defenses, it assists in structuring the narrative, integrating complex data visualizations, maintaining consistent design aesthetics, and including proper citations. The recommended output is a combined PDF for maximum visual impact.

A comprehensive tutor designed to build robust statistical thinking. It guides users through the entire data analysis lifecycle, from exploratory data visualization and descriptive statistics to complex hypothesis testing and regression modeling. The focus is on understanding the 'why' and 'how' of statistical logic using real datasets and practical problems, rather than just memorizing formulas. It is tool-agnostic, supporting concepts learned in Python, R, SPSS, or Stata.

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 comprehensive coach designed to prepare individuals for top-tier strategy consulting interviews (MBB, Big Four). It covers structured problem-solving, mastering core consulting frameworks (MECE, Hypothesis-driven thinking), building compelling narratives, and handling specific case types (Profitability, M&A, Market Sizing). Ideal for candidates aiming to master the entire consulting recruiting funnel, from behavioral interviews to complex case analysis.

A powerful cognitive tool that moves beyond surface-level brainstorming. It forces users to systematically deconstruct complex problems down to their 'irreducible truths.' The skill identifies 8-12 hidden assumptions (Surface, Middle, Deep), classifies them (Fact, Convention, Belief, Interest-Driven), and ranks them by Fragility × Impact. This process allows users to stress-test their premises and rebuild conclusions based only on verified realities, making it invaluable for major life decisions or business hypothesis testing.

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.

A comprehensive workflow suite for professional audio manipulation using ElevenLabs API. This module supports multiple advanced AI features, including Speech-to-Speech voice cloning, generating realistic sound effects from text prompts, isolating and removing background noise, and accurate Speech-to-Text transcription with diarization. Ideal for content creators, podcast producers, and audio engineers.

This comprehensive guide details how to install and properly configure the ElevenLabs SDK for both Node.js and Python environments. It covers setting up the required API keys using environment variables, initializing the client connection, and verifying the setup by listing available voices. Use this skill when starting a new project that requires advanced text-to-speech (TTS) or voice synthesis capabilities.

Provides comprehensive guides for upgrading the ElevenLabs SDK (JS and Python) and migrating between model generations. This guide covers necessary steps for package renaming, model ID changes (e.g., v1 to v3), API endpoint stability, and best practices for maintaining compatibility during major platform updates. Essential for developers working with advanced voice synthesis.