NaveedTechLab

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.

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

Deploy applications to Kubernetes using Argo CD GitOps workflows. Use when Claude needs to work with Argo CD for GitOps-based deployments. GitOps pattern enforced, no CI pipeline design, application manifests only.

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.

Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on common misconceptions. Activate when educators design quizzes, exams, or tests measuring understanding; need questions at appropriate cognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); or require rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writing prompts, debugging challenges, and project-based assessments targeting deep understanding.

Plan, structure, and scaffold large educational books using cognitive load management, just-in-time specification, and pedagogical best practices. Use this skill when planning multi-part, multi-chapter educational works that require narrative continuity, progressive complexity, and hands-on exercises. This skill helps create cohesive learning journeys that balance foundational scaffolding with advanced independence. Activate when tasks involve structuring books, managing cognitive load across chapters, defining part-level narratives, or coordinating multi-phase content development workflows.

This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows the authoritative format from canonical sources. Use before implementing lessons that teach platform patterns, or when reviewing content for format consistency.

This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.

This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.

Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use this skill when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague. This skill helps break down complex topics into progressively building learning goals with clear assessment methods and success criteria.

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.

Structured JSON audit logging for all agent actions with retention and traceability guarantees. Use when Claude needs to maintain comprehensive logs of all operations, track changes, ensure compliance, or provide forensic capabilities for agent activities.

Implement reusable Python BaseWatcher abstractions for continuous monitoring and event emission into Obsidian vault folders. Use when building file system watchers, API monitors, or any continuous monitoring solution that outputs Markdown events to Obsidian. Triggers for tasks involving: (1) monitoring directories for file changes, (2) polling REST APIs for updates, (3) emitting structured events to Obsidian notes, (4) creating custom watchers extending BaseWatcher.

MCP server for browser-based payment portal automation using Playwright. Supports navigating payment sites, filling forms, drafting payments with mandatory HITL approval before execution. Never auto-approves payments. Use when Claude needs to interact with payment portals, banking websites, or any web-based financial operations requiring human oversight.

MCP server enabling Claude Code to create, update, and query Google Calendar events with HITL approval for shared calendar modifications. Use when Claude needs to manage scheduling, create meetings, check availability, or automate calendar operations.

MCP server enabling Claude Code to draft, send, and search emails via Gmail with HITL (Human-in-the-Loop) enforcement. Use when Claude needs to interact with Gmail for email operations while maintaining human oversight and approval for sensitive actions.

Monitor local filesystem for dropped files and generate corresponding metadata/action Markdown files in Obsidian vault. Extracts full metadata including EXIF for images, text from PDFs, audio tags, video properties, and archive contents. Extends BaseWatcher framework. Use when building file inbox automation, document processing pipelines, or media organization systems.

Monitor banking transactions from CSV files and banking APIs, logging to Obsidian vault. Detects subscription patterns, flags unusual transactions, and generates financial summaries. Extends BaseWatcher framework. Use when building financial monitoring, expense tracking, subscription auditing, or automated bookkeeping systems.

Expert in developing deterministic FastAPI backends for content delivery, navigation, and rule-based quiz grading. Knowledgeable in Zero-Backend-LLM principles, ensuring no LLM calls are made in the core API routes.

Skilled in developing Next.js/React web applications for Phase 3 and integrating with the OpenAI Apps SDK for Phase 1. Focuses on responsive LMS dashboards and conversational UI integration.

Expert in selective LLM integration using Claude Agent SDK. Specialized in implementing premium-gated features like adaptive learning paths and LLM-graded assessments while maintaining strict isolation from deterministic logic.

Specialist in configuring Cloudflare R2 for verbatim content storage and media assets. Experienced in deploying Python applications to Fly.io or Railway and managing Neon/Supabase database integrations for progress tracking.

Specialized in code review and API auditing to ensure Zero-Backend-LLM compliance in Phase 1. Responsible for verifying that no forbidden LLM API calls, RAG summarization, or agent loops exist in the backend.

Explains educational concepts in a clear, step-by-step manner with examples and analogies

Tracks and motivates learning progress with streaks, achievements, and personalized encouragement

Creates, administers, and grades educational quizzes with immediate feedback

Design and implement event-driven cloud architectures with Kafka topics, Dapr pub/sub, and scalable microservice patterns. Use when designing distributed systems, implementing async messaging, creating event-based workflows, or building loosely coupled services. Covers fault-tolerant, cloud-portable architectures.

Generate clean, production-ready FastAPI backends with RESTful API design, Pydantic models, SQLAlchemy database integration, and authentication-ready structure. Use when building new FastAPI projects, creating REST APIs, setting up backend services, implementing CRUD endpoints, or scaffolding Python web applications. Produces Kubernetes-ready, scalable project structures.

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

Design smooth UI animations and interactions using Framer Motion for React/Next.js. Use when users request animations, transitions, hover effects, scroll animations, gesture interactions, or need help implementing Framer Motion. Follow modern motion UX principles with purposeful, performant animations that enhance usability.

Build clean, simple Next.js user interfaces optimized for hackathons and rapid prototyping. Use when creating frontend UIs, React pages, components, API integration, auth-aware layouts, or demo-ready web applications. Prioritizes simplicity, fast loading, and working demos over visual polish.

Integrate Three.js with React/Next.js using React Three Fiber for subtle 3D UI elements. Use when users request 3D cards, 3D backgrounds, interactive 3D UI components, parallax effects, 3D hover animations, or need to add Three.js to React/Next.js applications. Focus on performance-optimized, UI-focused 3D elements, not heavy 3D scenes or games.

Enable AI-driven Todo management using natural language via MCP tools. Use when building conversational todo agents, implementing natural language task management, designing AI assistants for todo apps, or creating MCP-based tool integrations. Covers intent interpretation, safe tool invocation, and stateless agent design.

Domain expert for Todo applications providing entity structure definitions, CRUD operation rules, task state management (pending, completed, archived), and edge case validations. Use when designing, implementing, or reviewing Todo app features, validating Todo data models, handling task state transitions, or enforcing business rules for task management systems.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.