stock-market-simulator

Use when analyzing an existing repository to reconstruct missing or outdated agent-facing prompt specs from code, tests, docs, and configuration, especially before planning, onboarding, repo handoff, or coding-agent execution.

提供 Cocos Creator 2.4 游戏引擎的全面开发指导，包括组件系统（cc.Class、cc._decorator）、生命周期回调、事件系统、Asset Manager 资源管理、缓动/动作系统、对象池、UI 系统、物理碰撞以及可试玩广告优化。在用户编写或重构 Cocos Creator 2.x TypeScript/JavaScript 代码、实现游戏功能、处理资源加载与释放、优化性能/包体大小、审查代码变更、搭建可试玩广告项目架构时触发。也适用于用户提到 cc.Class、cc.Component、cc.Node、cc.resources、cc.assetManager、cc.tween 等 2.x API 时使用。

提供 Cocos Creator 3.8 游戏引擎的全面开发指导，包括组件系统（_decorator、Component）、生命周期回调、事件系统（EventTarget、input）、resources 资源管理、tween 缓动系统、对象池、UI 系统、物理碰撞以及可试玩广告优化。在用户编写或重构 Cocos Creator 3.x TypeScript 代码、实现游戏功能、处理资源加载与释放、优化性能/包体大小、审查代码变更、搭建可试玩广告项目架构时触发。也适用于用户提到 import from 'cc'、Component、Node、resources、tween、director 等 3.x API 时使用。

Cocos 프로젝트에 MCP 서버 설치

Sync planning and execution outcomes from superpowers into Plane, and create an end-to-end closed loop through status updates: Requirements/Planning -> Plane Work Items -> Implement -> Verify -> Accept -> Close. Supports the full project lifecycle: initialization, new features, bug fixes, technical debt, hotfixes, and related scenarios.

Validates architecture documentation completeness by checking for technology stack, API specifications, database schema, security architecture, and alignment with feature specification. Ensures plan.md is complete before implementation.

Guide for using code execution capabilities to perform parallel batch processing, conditional filtering, and data aggregation. This skill should be used when agents need to analyze multiple files efficiently, validate large result sets, aggregate data from multiple sources, or reduce token consumption through execution-based filtering. Provides reusable templates for quota-aware workflows, error handling patterns, and token-efficient data processing.

Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.

This skill should be used for structured feature development with codebase understanding. Triggers on /do command. Provides a 7-phase workflow (Discovery, Exploration, Clarification, Architecture, Implementation, Review, Summary) using codeagent-wrapper to orchestrate code-explorer, code-architect, code-reviewer, and develop agents in parallel.

Automates git workflow tasks including status checks, branch creation, file staging, conventional commit message generation, and pull request creation with gh CLI. Ensures proper git workflow and commit standards.

Generate standardized checkpoint reports for multi-phase implementation projects. This skill should be used when pausing implementation at strategic milestones (phase completion, user story completion, critical features) to create comprehensive progress reports with task breakdowns, metrics, knowledge base entries, and resume instructions.

Guided pattern and bug creation with interactive prompts and automatic quality validation. Helps users create high-quality KB entries with proper structure, scoring, and categorization. Provides improvement suggestions for entries below quality thresholds.

Interactive Knowledge Base search with natural language queries. Searches patterns and bug fixes with relevance ranking, quality scoring, and fuzzy matching for typo tolerance. Helps users find solutions quickly without manual browsing through institutional knowledge.

Use this skill when you see `/omo`. Multi-agent orchestration for "code analysis / bug investigation / fix planning / implementation". Choose the minimal agent set and order based on task type + risk; recipes below show common patterns.

Industry-standard Product Requirements Document (PRD) creation skill that guides Product Managers through creating comprehensive, research-backed PRDs. Uses proven frameworks from Google, Amazon, and Intercom to ensure PRDs provide all details needed for superior Spec Kit specifications.

Implements 5 Whys root cause analysis methodology for systematic debugging and problem resolution. Guides developers through structured analysis, documents findings in institutional knowledge system, and prevents recurring issues.

Minimal SPARV workflow (Specify→Plan→Act→Review→Vault) with 10-point spec gate, unified journal, 2-action saves, 3-failure protocol, and EHRB risk detection.

Validates specification completeness and quality by checking for mandatory sections, [NEEDS CLARIFICATION] markers, testable criteria, and clear scope boundaries. Ensures specifications are ready for architecture and implementation phases.