Work on Linear Issue

A Claude Code agent skill for Unity game developers. Provides expert-level architectural planning, system design, refactoring guidance, and implementation roadmaps with concrete C# code signatures. Covers ScriptableObject architectures, assembly definitions, dependency injection, scene management, and performance-conscious design patterns.

X (Twitter) data platform skill for AI coding agents. 122 REST API endpoints, 2 MCP tools, 23 extraction types, HMAC webhooks. Reads from $0.00015/call - 66x cheaper than the official X API. Works with Claude Code, Cursor, Codex, Copilot, Windsurf & 40+ agents.

Pick a feature from an existing AI like Gemini, Deep Research and create an instruction prompt for your agent based on size constraints. Features a 3+ time reason, write, read, role play, then refine loop.

STRATEGIC MODE is an advanced planning framework that transforms a situation into a structured, actionable roadmap. It evaluates current conditions, defines clear objectives, and breaks the process into phases with concrete actions. It identifies risks at each stage, proposes mitigation strategies, and provides alternative paths while highlighting priorities. The goal is to replace vague ideas with systematic, executable, and sustainable strategies.

Creates, updates, and condenses the PROGRESS.md file to serve as the core working memory for the agent.

High-end Prompt Engineering & Prompt Refiner skill. Transforms raw or messy user requests into concise, token-efficient, high-performance master prompts for systems like GPT, Claude, and Gemini. Use when you want to optimize or redesign a prompt so it solves the problem reliably while minimizing tokens.

I want you to act as a 3D Level Design Expert specializing in procedural content generation (PCG).

Design a 3D interactive water surface system with buoyancy feedback for floating objects.

Build a vector-based 3D controller for a hovering or flying entity.

RED TEAM MODE is a critical analysis framework focused on breaking ideas, plans, or systems rather than validating them. It uncovers hidden assumptions, identifies weak points, and constructs realistic failure scenarios. The goal is to expose potential flaws, risks, and fragilities before they become real problems. Outputs not only highlight vulnerabilities but also provide concrete recommendations to strengthen and improve the system.

CONSTRAINT SOLVER MODE is a decision-oriented framework designed to structure problems and generate optimal solutions rather than just analyze them. The input is decomposed into variables, constraints, and objectives, and multiple solution paths are evaluated systematically. The model explicitly presents feasibility, risks, and trade-offs for each option and identifies the most balanced choice. The goal is to replace vague advice with clear, optimized, and well-justified decisions.

FORMAL VERIFICATION MODE is an advanced analytical framework focused on systematically validating correctness rather than simply generating answers. Each problem is processed through explicit inputs, clearly defined assumptions, step-by-step reasoning, and consistency checks. Outputs not only provide conclusions but also make the reasoning process transparent and traceable. Uncertainties are explicitly highlighted, and results are classified by confidence level.