Skill UI

This skill provides an engine-neutral, high-level architecture for abstracting raw physical inputs (keys, buttons, touch) into named gameplay actions. It supports advanced features like multi-device binding, conflict detection, analog deadzones, input buffering, and coyote time, ensuring flexible and accessible control schemes for modern games.

This methodology guides developers to diagnose ambiguous failures, intermittent bugs, or performance regressions before implementing any code changes. It emphasizes separating observed symptoms from inferred causes, tracing inputs and state transitions, and ranking hypotheses based on evidence and cheap falsification value. Use this structured approach to ensure fixes are built upon a proven mechanism.

Transform a legal professional's bounded knowledge, workflow, or judgment patterns into a safe, structured, and reusable AI skill. This tool processes inputs like legal memos, compliance checklists, or negotiation notes to extract core capabilities, risk taxonomies, and review standards. It strictly separates the extracted capability from the individual's personal voice or identity, ensuring full source traceability and mandatory human review points for high-stakes legal work.

A comprehensive guide for setting up and debugging the fundamental structure of a LÖVE (Love2D) game in Lua. Covers the essential callback loop (love.load, love.update, love.draw), delta-time movement, handling various input types, and managing screen states.

The Ouroboros workflow engine utility used to execute complex Seed specifications. It manages the entire lifecycle, including input validation (YAML), orchestration, real-time progress tracking, and formal convergence evaluation. This tool is crucial for running structured, multi-step computational workflows and assessing outcomes against defined criteria.

An internal, deterministic runtime for structured scholarly writing workflows (meta-paper-write). It processes JSON input to perform critical operations such as persisting sections, assembling LaTeX manuscripts, compiling PDFs using xelatex/bibtex, managing citations, and applying length expansions. It ensures artifact integrity and high-quality output for academic publications.

This tool is a deterministic formatter for generating the final delivery summary for academic papers (meta-paper-write). It accepts JSON inputs including paper contracts, compiled PDFs, and citation maps. It strictly reports only verified fields and consistent citation statistics, ensuring the output is machine-readable and never relies on LLM inference or prose counting.

This internal, deterministic gate enforces academic rigor before manuscript compilation. It audits the input, rejecting unsupported empirical claims, missing citation verdicts, or concrete outcome numbers that lack user evidence. It ensures that generated scientific papers only present validated results, blocking unsupported quantitative or qualitative assertions.

A comprehensive pattern for developing board-based puzzle games (e.g., Match-3, Sokoban, Logic Grids). This skill focuses on modeling the board state, move input validation, and the core rule resolution loop. It defines how cascades, scoring, and undo functionality must operate deterministically to ensure fair and bug-free gameplay, separating game logic from visual rendering.

Structure a pygame (pygame-ce) game in Python: init/event/update/draw loop, delta-time movement, Surface/Rect blitting, keyboard/mouse input, and Sprite/Group management with collision. Use when building or debugging a pygame game.

This is an internal, deterministic consent gate used in the meta-short-drama workflow. It normalizes user-provided draft review comments and post-revision confirmation replies. Its primary function is to enforce a secure, bounded decision process, requiring explicit approval at every stage before any external image or video generation is authorized, thus preventing ambiguous inputs from proceeding.

A specialized Legal Project Management skill that transforms unstructured inputs (emails, call notes, trackers, etc.) into highly structured, client-facing status reports. It goes beyond formatting by applying expert judgment to identify actual progress versus mere activity, flagging risks, determining required next steps, and reconciling discrepancies between multiple sources (e.g., comparing email narrative against an Excel plan). Ideal for LPMs preparing updates for clients or internal stakeholders.