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Found 7 Skills
Mom Nagging Mode — Chinese-style mom nagging drives AI to explore every possible solution. The underlying behavioral constraints remain unchanged (three red lines, methodology, 7-item checklist), with the narration switching from big tech PUA to mom's constant nagging. Triggers on: '/pua:mama', '/pua mama', '妈妈模式', '妈妈唠叨', 'mama mode', '唠叨模式'. Similar to /pua:yes, this is a narration style switch that does not alter core behaviors.
Protocolo de comunicação em PT-BR. Comprime respostas eliminando redundâncias gramaticais, artigos e preposições, priorizando verbos no infinitivo.
Use this skill when working with State Tree, StateTree, UStateTree, state machine, StateTreeTask, StateTreeCondition, StateTreeEvaluator, StateTreeSchema, AI State Tree, Mass StateTree, FStateTreeExecutionContext, or data-driven state logic in Unreal Engine. See references/state-tree-patterns.md for task/condition/evaluator templates and references/state-tree-mass-integration.md for Mass Entity integration.
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Create Trae IDE rules (.trae/rules/*.md) for AI behavior constraints. Use when user wants to: create a project rule, set up code style guidelines, enforce naming conventions, make AI always do X, customize AI behavior for specific files, configure AI coding standards, or establish project-specific AI guidelines. Triggers on: 'create rule', '创建 rule', 'project rule', '.trae/rules/', 'AGENTS.md', 'CLAUDE.md', 'set up coding rules', 'make AI always use PascalCase', 'enforce naming convention', 'configure AI behavior'. Do NOT use for skills (use trae-skill-writer) or agents (use trae-agent-writer).
Expert blueprint for hierarchical finite state machines (HSM) and pushdown automata for complex AI/character behaviors. Covers state stacks, sub-states, transition validation, and state context passing. Use when basic FSMs are insufficient OR implementing layered AI. Keywords state machine, HSM, hierarchical, pushdown automata, state stack, FSM, AI behavior.
Self-improving agent patterns. Use when detecting corrections, proposing rules, or managing learned behaviors.