Skill UI

This skill provides an analytical index of regulatory and doctrinal sources concerning the governance of French listed companies. It aggregates facts, statistics, and citations from key bodies like AMF, ESMA, and professional organizations. Its core principle is 'zero invention,' ensuring every output is rigorously source-cited to maintain objective, fact-based analysis, strictly distinguishing between legal obligations and soft law recommendations.

This tool provides a statistically rigorous framework for analyzing a user's private LinkedIn post performance data. It moves beyond simple averages, utilizing median/MAD and permutation testing to determine if observed patterns are genuine or statistical noise. It guides users through three steps: descriptive analysis, pattern mining, and sizing future A/B experiments, ensuring hypotheses are testable and avoiding over-conclusion. Works only with your own exported data.

This workflow mandates external verification for all non-trivial factual claims, ensuring accuracy in high-stakes domains. It is essential when researching current events, legal matters, scientific claims, or providing statistics. The process requires decomposing tasks, searching external sources, and providing immediate, inline citations to support every claim, overriding reliance on internal, potentially outdated knowledge.

Transforms a detailed creative brief into a complete, playable song track. Users provide specifications including genre, mood, BPM, lyrics structure, and theme. The skill utilizes advanced AI tools to compose the music, structure the verses and choruses, and generate the final audio file, suitable for content creators and music prototyping.

Expert guide for the Gemini Notebook CLI and MCP server. Covers notebook management, source addition (URLs, YouTube, Drive), content generation (podcasts, reports, quizzes, flashcards, slides, infographics, videos), research, chat, and automation. Includes usage monitoring, authentication recovery, and safe deletion practices.

A comprehensive guide to tuning game physics parameters, including mass, gravity, drag, and continuous collision detection (CCD). It addresses common stability issues like jitter and tunneling by correctly separating the fixed-timestep simulation (physics updates) from the variable-rate rendering (visual updates) using interpolation. Essential for creating predictable and responsive game motion across various hardware.

A comprehensive playbook for designing and implementing 'feel-good' 2D platformers, such as Mario or Celeste. This skill focuses on the compositional elements: tuning jump physics using variables like coyote time, jump buffering, and variable jump height. It teaches how to achieve responsive, satisfying moment-to-moment movement for side-scrolling games.

Build a playable prototype in about an hour to test if a game mechanic is fun, using greybox primitives, a hard timebox, and explicit keep/kill criteria. Ideal for validating mechanics, vertical slices, MVPs, or de-risking ideas before full production.

This master router serves as the central entry point for all game development inquiries. It fingerprints your project by detecting the game engine (Godot, Unity, Unreal, etc.) and classifying the specific task (AI, UI/UX, Physics, etc.) or genre. It resolves the minimal set of required specialized skills, guiding you to the correct starting point without re-teaching APIs. Ideal for starting new projects or figuring out which skill applies when unsure.

Provides a comprehensive, unified health snapshot for the active digital marketing brand. This tool aggregates critical metrics including brand profile details, engagement progress, recent insights, compliance violations, and technical dependencies. It is essential for monitoring brand performance, ensuring adherence to guidelines, and assessing overall operational status on demand.

Read and write a Zotero library from the shell with the zotero-cli command: search papers by keyword or semantics, read PDF full text and page ranges, get and set metadata, manage collections, tags, notes and annotations, add items by DOI, and export bibliographies.

Generate virtual spatial transcriptomics from H&E histology tiles with DeepSpot-M, a multimodal foundation model. Predict log1p-CPM expression for ~19k protein-coding genes per 224x224 tile at 20x, with whole-slide tiling workflows.