Search Skills

Delivers context-aware reminders of underutilized Claude Code features during errors, high-context tasks, or large searches to improve developer productivity.

Manages session lifecycle, memory state, and context windows for AI applications, optimizing token usage and ensuring memory health.

Debugging and inspecting Next.js applications, including routes, components, and build information for development workflows.

Creates dynamic, randomized 50-question quizzes with immediate feedback for end-of-chapter assessments, displaying 15-20 questions per session.

Analyzes educational chapters from student and teacher perspectives, identifying content gaps and providing structured improvement recommendations.

Builds frameworks to evaluate AI agent performance, validate context engineering, and measure iterative improvements.

Enables creation, editing, and analysis of Microsoft PowerPoint (.pptx) files including content modification, layout adjustments, and speaker notes.

Analyzes educational chapters from student and teacher perspectives, identifying content gaps and providing structured recommendations for improvement.

Enables building distributed microservices with Dapr's sidecar architecture, supporting state management, pub/sub, and service invocation.

Enables developers to build AI agents and agentic applications using Anthropic's Claude Agent SDK, including autonomous agent creation and SDK-based automation.

Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards, addressing recalculation and common pitfalls.

Ensures technical content adheres to canonical formats for patterns, specifications, and standards, preventing format drift in documentation.

Builds Next.js 16 applications with proper patterns for pages, layouts, dynamic routes, and handling breaking changes like async params and Turbopack.

Refines educational content by removing redundancy, tightening prose, and strengthening narrative connections to improve clarity and engagement.

Fetches official documentation for external libraries and frameworks to aid in implementation, debugging, and configuration with token-efficient content filtering.

Creates evidence-based practice exercises applying cognitive science principles like retrieval practice and spaced repetition to maximize learning retention and skill development.

Provides a structured rubric for evaluating educational content quality across six weighted categories including technical accuracy and pedagogical effectiveness.

Provides async database layer utilities for SQLModel with PostgreSQL, including session management, CRUD operations, and ORM features like relationships and N+1 prevention.

Automates Docusaurus site deployment to GitHub Pages with configuration, building, and CI/CD setup including pre-deployment validation.

Builds production RAG systems with LangChain orchestration and Qdrant, covering multiple architectures and evaluation metrics.

Generates concise lesson summaries by extracting key concepts, mental models, and common mistakes from markdown files.

Implements Kubernetes security patterns including RBAC, NetworkPolicies, secrets management, and compliance fundamentals.

Generates optimized, secure Dockerfiles for Python applications using multi-stage builds, tailored for production deployment.

Creates reusable prompt templates that encode domain-specific patterns for efficient, consistent AI task execution.