القائمة
Explains educational concepts in a clear, step-by-step manner with examples and analogies
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Optimize Three.js and WebGL performance, reduce GPU load, suggest fallback UI strategies, and maintain 60fps experience.
Agent-to-Agent (A2A) messaging system for direct communication between Cloud and Local agents. Replaces file-based handoffs with real-time messaging while maintaining vault as audit record. Supports task delegation, status updates, approval requests, and result delivery between distributed AI Employee instances. Use when coordinating multiple Claude Code agents across cloud and local environments.
Implements the core Customer Success Agent using OpenAI Agents SDK. Manages the orchestration of tool calls (search, ticket creation, etc.), conversation logic, and state management. Use when Claude needs to create or modify Customer Success Agent implementations with OpenAI Agents SDK, orchestrate multiple tools, manage conversation flows, or handle persistent state across interactions.
Generate valid AGENTS.md files for repositories according to AAIF standards. Use when Claude needs to create or update AGENTS.md files that document AI agents in a repository following standard format and best practices.
Design learning experiences for AI-native software development, integrating the Three Roles Framework (AI as Teacher/Student/Co-Worker), co-learning partnership pedagogy, and "Specs Are the New Syntax" paradigm into programming curriculum. Use this skill when educators need to prepare students for professional AI-driven development workflows, teach effective specification-first collaboration, or balance AI assistance with foundational learning goals. This skill helps create lessons that leverage AI tools appropriately while ensuring students build independent capability, bidirectional learning patterns, and ethical AI use practices. Aligned with Constitution v4.0.1.
Expert in LLM integration (Claude/GPT), RAG systems for self-learning, and WhatsApp Business API for remote approval workflows. Use when: (1) Designing prompts for Claude or GPT models with system prompts and few-shot learning, (2) Implementing multi-agent orchestration with specialized agent prompts, (3) Setting up RAG systems with vector databases (Pinecone, ChromaDB, Weaviate), (4) Implementing document chunking, embedding generation, and retrieval strategies, (5) Building WhatsApp approval workflows with interactive messages and buttons, (6) Integrating feedback loops for continuous learning, (7) Optimizing LLM API calls with error handling and retries, (8) Creating message templates for WhatsApp Business API. Provides prompt templates, RAG implementation patterns, WhatsApp message templates, and comprehensive reference documentation.
| name | concept-explainer |
| description | Explains educational concepts in a clear, step-by-step manner with examples and analogies |
Explains complex educational concepts in a clear, step-by-step manner using examples, analogies, and visual descriptions to aid understanding.
USER: Explain [concept]
SKILL RESPONSE:
1. Definition: Provide a clear, concise definition of the concept
2. Context: Explain where and why this concept is important
3. Breakdown: Decompose the concept into smaller parts/components
4. Examples: Give 2-3 concrete examples of the concept in action
5. Analogies: Provide relatable analogies to help visualize the concept
6. Applications: Describe practical applications of the concept
7. Common Mistakes: Highlight misconceptions or common errors
8. Further Reading: Suggest related concepts to explore
concept-scaffolding — Build full multi-stage learning progressions using the concepts explained heresocratic-tutor — Guide learners to discover concepts through questions rather than explanationtechnical-clarity — Apply clarity principles to technical documentation beyond concept explanations